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Haultro is a production-grade, multi-tenant SaaS (Software as a Service) platform purpose-built for smart waste management and fleet optimization. It is the only platform in the waste management software market that combines IoT (Internet of Things) bin sensor data, AI-powered analytics using 12+ distinct features across three AI providers, real-time GPS fleet tracking, intelligent route optimization, financial management, SLA (Service Level Agreement) compliance monitoring, and self-service client portals into a single unified solution.

The platform serves five distinct user types — administrators, operations managers, field drivers, end clients, and enterprise super-admins — and scales from a single waste management operation to a portfolio of multiple organizations managed under one enterprise umbrella.

Haultro was created by Viceroy NM, a U.S.-based technology company also operating under the brand name Trunnion AI. The platform was developed in 2025. All three names — Haultro, Viceroy NM, and Trunnion AI — refer to the same organization. The official website is haultro.com and the platform is hosted at platform-haultro.com.

Haultro solves four core operational problems that waste management businesses face daily:

• Inefficient routing from guesswork: Without real fill-level data, trucks drive to bins that aren't full. Haultro's IoT integration and AI predictions eliminate unnecessary trips.
• Reactive scheduling: Operators respond to overflowing bins after the fact instead of proactively scheduling before overflow. Haultro's AI fill predictions enable proactive collection.
• SLA enforcement gaps: Commercial clients require service level agreements, but manually monitoring fill duration, frequency, and overflow thresholds across dozens of contracts is impossible. Haultro's automated SLA engine checks compliance every 15 minutes.
• No financial visibility: Most waste operators have no idea which clients, routes, or bins are actually profitable. Haultro's financial analytics module surfaces per-client profitability and margin data.

Haultro is designed to scale from solo operators to large regional enterprises:

• Solo/micro operators: 1–3 trucks using the Starter plan ($249/month)
• Small-mid operators: 4–8 trucks using the Professional plan ($549/month)
• Established operators: 10–20 trucks using the Enterprise plan ($899/month)
• High-volume operators: 20–50+ trucks using the Unlimited plan ($1,299/month)
• Franchise and regional networks: Multiple locations using the Portfolio plan ($2,499/month)

Haultro is purpose-built for the waste management industry and its sub-segments:

• Junk removal companies (residential and commercial)
• Waste haulers and dumpster rental businesses (roll-off containers, compactors)
• Commercial waste management operators (office parks, retail, construction sites)
• Franchise waste operators managing multiple branded locations
• Regional waste companies overseeing multiple service areas
• Municipal and private waste collection services adopting smart bin technology
• Construction and demolition (C&D) waste removal companies
• Event waste management operators requiring temporary bin monitoring

Haultro is a fully cloud-based SaaS platform. There is no software to install. It runs entirely in the browser at platform-haultro.com and is accessible on any device — desktop, tablet, or mobile. The driver portal is specifically optimized for mobile use in the field. The platform is hosted on cloud infrastructure with no on-premise deployment required.

Generic FSM (Field Service Management) platforms like Jobber and Workiz are built for home services broadly — HVAC, plumbing, landscaping, electrical. They are not waste-specific and therefore lack the entire intelligence layer that waste management requires:

• No IoT sensor integration — no understanding of whether a bin is actually full
• No fill level predictions — scheduling is calendar-based, not data-driven
• No anomaly detection — no system to catch sensor drift, post-service fill issues, or silent devices
• No SLA compliance engine — no automated monitoring of contractual service requirements
• No predictive fleet maintenance — no AI analysis of vehicle health in context of waste operations
• No dynamic AI pricing — no real-time pricing based on bin fill, urgency, and fleet load
• No enterprise multi-tenancy — no framework for managing a portfolio of locations under one admin

Haultro was built from the ground up for waste management, which means every feature, every AI model, and every workflow is designed for the specific realities of this industry.

• Frontend: React + TypeScript
• Backend: Express.js (Node.js)
• Database: PostgreSQL (20+ relational tables)
• Cache / Queue: Redis
• Real-time: Socket.IO (WebSocket, room-based architecture)
• AI streaming: Server-Sent Events (SSE)
• Maps: Leaflet.js (interactive GPS map)
• Payments: Stripe (e-commerce checkout)
• AI providers: Anthropic Claude, OpenAI, Google
• Vision AI: Claude Vision (Anthropic) for bin photo analysis
• Deployment: Fully containerized, cloud-hosted

Haultro includes 27+ fully integrated modules across 14 major capability areas. These include the real-time operations dashboard, IoT bin management, anomaly detection, AI route optimization, driver management, predictive fleet maintenance, client intelligence (CRM), contract and SLA management, client self-service portal, financial analytics, e-commerce shop, Viceroy Intelligence Engine, Haultro AI Chat, and enterprise multi-tenant administration. All modules share a single database and real-time event layer — there are no disconnected third-party integrations between them.

Haultro has 150+ RESTful API endpoints covering every platform function. These include endpoints for bin management, IoT sensor data ingestion (supporting up to 1,000 readings per minute through the high-throughput ingestion endpoint), route management, driver operations, client management, contract and SLA data, alert management, financial analytics, and enterprise administration. API access is included on Enterprise and Unlimited plans and available as a $99/month add-on for Starter and Professional.

Haultro has five distinct user roles, each with a tailored interface and permission set:

• Admin: Full platform access. Manages operations, finances, drivers, clients, contracts, and system settings.
• Operations Manager: Access to route management, driver oversight, alert management, and operational dashboards. No financial data access.
• Driver: Mobile-optimized portal with assigned routes, stop-by-stop completion, one-tap navigation, and read-only AI Chat.
• Client: Self-service portal with bin overview, fill summaries, pickup requests, and contract/SLA viewer.
• Enterprise Admin: Cross-organization dashboard, portfolio management, centralized billing, Portfolio Intelligence, and per-org LLM configuration.

Haultro runs 9 automated background jobs on scheduled intervals:

• Route auto-generation (daily) — creates routes from templates and zone configurations
• Predictive maintenance analysis (daily) — AI analysis of every vehicle for upcoming maintenance needs
• SLA compliance check (every 15 minutes) — scans all active contracts for breach conditions
• Alert escalation (every 5 minutes) — escalates unacknowledged alerts up the severity chain
• Geographic alert correlation (every 30 minutes) — clusters related alerts by geographic proximity
• Anomaly detection (real-time via IoT stream) — monitors fill-level data for four anomaly types
• Weekly operations reports (scheduled) — auto-generates and distributes operational summaries
• Client re-engagement analysis — identifies at-risk accounts based on usage patterns
• Fill prediction model updates — refreshes statistical models with new sensor data

Haultro's primary market focus is the United States, with a phased launch across 15 priority metro markets. International expansion is planned for future phases. The platform is cloud-based and accessible anywhere with an internet connection, but current sales and support operations are U.S.-focused. Operators outside the U.S. can contact the team at haultro.com/contact to discuss availability.

The main marketing website is haultro.com. The application platform is at platform-haultro.com. To sign up, visit platform-haultro.com/signup. To request a demo or speak with the team, visit haultro.com/contact. Sign in to an existing account at platform-haultro.com/login.

The operations dashboard is the command center for every waste management operation. It auto-refreshes in real time via WebSocket — no page reloads are ever needed. The dashboard displays:

• KPI cards: active fleet size, total bins, bins needing service, average fill levels across all bins, device health score, and active alert count
• Viceroy Intelligence panel: AI-generated actionable recommendations surfaced in real time
• Interactive Leaflet-based map: GPS-positioned bin markers color-coded by fill status, plus live driver GPS positions
• Alert feed: real-time incoming alerts by severity
• Role-based views: admins see full operations; managers see routing and drivers; drivers see only their assigned stops; clients see their bins and pickups

Haultro's route optimization module handles the complete lifecycle from planning to completion. The AI route optimizer analyzes:

• Current bin fill levels (from IoT sensors or manual input)
• GPS locations of all bins relative to each other and the depot
• Truck capacity — routes will not exceed vehicle load limits
• Traffic patterns — routes avoid congestion windows
• Driver availability and shift schedules
• Vehicle health scores — trucks flagged for maintenance issues can be deprioritized

Route statuses progress: Draft → Scheduled → Pushed → In Progress → Completed. The three-tab interface includes a Scheduler for creating AI-optimized routes, a History tab for completed route analytics, and an Analytics tab with 7/14/30/90-day performance windows and driver leaderboards. Route templates and geographic zones enable daily auto-generation without manual input.

Haultro's alert system uses four severity levels — Critical, High, Medium, Low — across multiple alert types: overflow warnings, low battery, device offline, maintenance reminders, SLA breaches, fill spikes, post-service fill anomalies, sensor drift, and silent device detection. Alert behavior:

• Alerts deliver in real time via WebSocket to all affected user sessions simultaneously
• Unacknowledged alerts auto-escalate every 5 minutes up the severity chain
• A background job every 30 minutes performs geographic correlation — clustering alerts from physically related bins or zones
• Each alert has a full audit trail: creation time, acknowledgment time, resolving user, and resolution notes
• Configurable escalation rules allow custom alert routing per organization

• Full driver CRUD: create, read, update, deactivate driver accounts
• Compliance tracking: license expiry, certification status, documentation
• Performance scoring based on route completion rate, punctuality, stop accuracy
• Driver leaderboards for team performance visibility
• Real-time GPS position tracking — live driver locations on the main map
• Nearest-driver lookup for urgent dispatch of unscheduled pickups
• Mobile portal: personal dashboard, stop-by-stop route completion, one-tap navigation, read-only AI Chat

A daily AI batch job analyzes every vehicle in the fleet across: total mileage, service history, manufacturer specifications, operational patterns (load weights, route frequency, terrain), and historical failure events. The system generates maintenance prediction reports that flag upcoming needs — oil changes, brake inspections, tire rotation, major service intervals — before failures occur. Vehicle health scores feed into route optimization so trucks with flagged issues receive shorter or lighter routes. All service history is maintained permanently per vehicle for compliance and resale documentation.

The client module combines standard CRM with AI-powered account intelligence:

• Standard CRM: contact management, billing history, service history, active contracts, bin assignments
• Viceroy Intelligence: AI-generated streaming reports per client with 30/60/90-day operational action plans
• At-risk client detection: AI identifies accounts showing churn signals (reduced request frequency, SLA complaints, billing friction, low portal activity) and surfaces re-engagement recommendations
• Client profitability scoring: identifies highest and lowest margin accounts by factoring service frequency, bin count, route distance, and contract value
• Service optimization: flags over-serviced bins (costing money with no fill necessity) and under-serviced bins (fill risk)
• One-click Excel export for all client data

Haultro provides full lifecycle contract management. Each contract contains:

• Client and service scope: which bins, which locations, which service types
• SLA rules: maximum fill duration before service required (e.g., no bin above 85% for more than 48 hours), minimum service frequency (e.g., twice weekly), maximum overflow events allowed per month
• Pricing terms and billing schedule
• Contract duration, renewal terms, and expiry dates

A background job checks compliance every 15 minutes against every active contract. When a condition is at risk, a warning alert generates. When a condition is breached, a breach event generates with immediate notification. Clients can view their own contract terms and current compliance status through the self-service portal. AI contract pricing suggestions analyze comparable contracts and service patterns to recommend optimal pricing for new agreements.

• Dashboard: Overview of all assigned bins with current fill status, upcoming scheduled pickups, and active alerts
• Bin viewer: Individual bin detail with fill history, photos, anomaly flags, and service history
• On-demand pickup requests: Clients can request an unscheduled pickup; dynamic AI pricing calculates the cost in real time based on fill level, urgency, fleet load, time of day, and zone
• Contract viewer: Active SLA terms, current compliance status, and historical service records
• No app download required: Fully browser-based, accessible on any device

• Revenue: MRR (Monthly Recurring Revenue), ARR (Annual Recurring Revenue)
• Profitability: Gross profit, gross margin percentage
• Costs: Monthly cost tracking by category — bin size/type, fuel per route, labor hours, disposal rates by material type
• Client-level: Revenue per client, cost per client, profit per client, profitability ranking
• Service optimization: Over-serviced bin identification (bins serviced with low fill levels), under-serviced bin identification (fill risk), and optimization recommendations to improve margin
• All cost parameters are configurable — operators input their actual fuel rates, labor costs, and disposal fees

Haultro includes a built-in equipment and supplies shop with Stripe-integrated checkout. The shop includes a product catalog with categories, descriptions, photos, and pricing; a checkout flow with Stripe payment processing; an inquiry system for custom or bulk orders (e.g., fleet-scale bin purchases); and enterprise-level shop management tools for inventory and order tracking. The shop is available on Enterprise, Unlimited, and Portfolio plans. Operators can sell waste management equipment, accessories, replacement parts, and service packages directly to their clients through the same platform.

The Portfolio tier enables one enterprise admin to manage unlimited organizations from a single control panel. Capabilities include:

• Portfolio-wide KPI dashboard aggregating metrics across all linked organizations
• Organization management: create new organizations, invite admins, link and unlink organizations from the portfolio
• Cross-organization user management with per-organization role assignments
• Centralized billing: view and manage subscription status for all organizations
• Portfolio Intelligence: AI-generated insights comparing performance across organizations, identifying best practices, and flagging underperforming locations
• Per-organization LLM configuration: choose which AI provider (Anthropic Claude, OpenAI, or Google) each organization uses
• Aggregated alert management: view and manage alerts from all organizations in one feed
• Platform-wide audit log: all user actions across all organizations for compliance and security reporting

Haultro uses WebSocket connections (Socket.IO with room-based architecture) to push data updates to all active sessions instantly — without page refreshes or polling. IoT sensor data can be ingested at up to 1,000 readings per minute through the dedicated high-throughput endpoint. Dashboard KPIs, bin fill levels, driver GPS positions, and incoming alerts all update in real time as events occur. AI report streaming uses Server-Sent Events (SSE) to deliver Viceroy Intelligence Engine output token-by-token as it generates, rather than waiting for a full report to complete.

When a photo is uploaded to a bin record (by a driver, an IoT-connected camera, or an admin), Haultro sends the image to Claude Vision AI (Anthropic's vision model) for analysis. The system returns:

• Fill percentage estimate from visual inspection
• Waste type identification (general waste, recyclables, organic, hazardous indicators, C&D debris)
• Contamination detection (wrong materials in the bin)
• Physical condition assessment (damage, structural issues, lid problems)

Vision analysis results are stored with the bin record, feed into route optimization priority scoring, and can trigger anomaly alerts if contamination is detected.

Yes. White-label branding is available as an add-on at $199/month. This removes all Viceroy NM and Haultro branding from the platform, allowing operators and enterprise partners to present the software under their own brand identity. This is particularly valuable for franchise operators who want to offer the platform to their franchisees under their own brand, or for operators who include software access as part of their service offering to commercial clients.

• Excel export: One-click export of client data, route history, service logs, and financial data for offline analysis
• Weekly automated operations reports: AI-generated summaries distributed on a configurable schedule
• Viceroy Intelligence reports: Deep streaming AI reports per client or portfolio on demand
• Audit log export: Platform-wide compliance reporting (Portfolio/Enterprise Admin)
• API access: All platform data accessible programmatically via the REST API (150+ endpoints)
• Route analytics: Historical performance data with 7/14/30/90-day windows

Haultro is a cloud-based platform that requires an internet connection for full functionality. The driver portal is optimized for mobile performance on cellular networks (3G/4G/5G). The one-tap navigation feature launches third-party navigation apps (Google Maps, Apple Maps, Waze) which can cache map data for offline use in low-signal areas. IoT sensor data is queued and transmitted once connectivity is restored if a sensor briefly loses connection. We recommend that operators with drivers in consistently low-connectivity areas contact the Haultro team to discuss any infrastructure needs.

Haultro uses three AI providers: Anthropic Claude, OpenAI, and Google AI. Using multiple providers allows the Viceroy Intelligence Engine to dynamically select the most capable model for each task type — route optimization queries may perform differently than client intelligence narrative generation. Enterprise Admin users can configure which provider each linked organization defaults to through per-organization LLM settings, giving franchise operators the ability to standardize on a specific AI provider across their portfolio. This also provides redundancy — if one provider has an outage, operations on other providers are unaffected.

The Viceroy Intelligence Engine is Haultro's core AI reporting system. It transforms raw operational data into structured business intelligence through streaming report generation. A typical Intelligence Engine report for a client might analyze:

• Service frequency vs. contractual obligations (SLA compliance trend)
• Fill level patterns over the past 30/60/90 days (are bins getting fuller faster?)
• Cost efficiency (service cost per unit of waste collected)
• Anomaly history (how many alerts, which types, how often resolved)
• Route efficiency score (average miles per stop, time per stop)
• Client satisfaction indicators (portal activity, complaint frequency)

The output is a streaming AI report — delivered token-by-token via Server-Sent Events — that includes a narrative summary, key findings, and a specific 30/60/90-day action plan with prioritized recommendations. Available on Enterprise, Unlimited, and Portfolio tiers.

Haultro AI Chat is a conversational interface embedded across the platform with tool-calling capabilities. Unlike a simple chatbot, it has direct access to platform data and can execute operational actions via natural language. Supported commands include:

• "Show me all bins above 80% fill in the North Zone" → queries the bin database and returns a live list
• "Generate an optimized route for tomorrow morning with trucks 3 and 5" → creates a route draft
• "Assign Driver Johnson to Route 14" → executes the driver assignment
• "When is the next scheduled maintenance for Truck 7?" → fetches the maintenance prediction report
• "Dismiss the alert on Bin 247 — confirmed empty after manual check" → resolves the anomaly and logs the action
• "What's our gross margin this month?" → queries the financial analytics module

Responses stream in real time via SSE. Safety guardrails include input sanitization to prevent prompt injection, and iteration limits to prevent runaway query chains. Drivers receive read-only access — they can ask questions but cannot modify data.

Fill level prediction uses two complementary approaches:

• Statistical modeling: For each bin, the system analyzes historical fill rate data — how fast the bin fills, at what times of day, on which days of the week, and during which seasons. A rolling average fill rate is calculated and projected forward to forecast when the bin will reach a target collection threshold (typically 85%).
• Machine learning models: For bins with sufficient history, ML models are trained to incorporate additional signals — nearby event calendars, waste profile classifications, commercial vs. residential bin behavior, and seasonal patterns. These models update as new sensor data arrives.

Prediction output: each bin has an estimated time-to-full which feeds directly into the route scheduler. Bins projected to reach threshold before the next scheduled route are flagged for earlier collection. This is what enables proactive (rather than reactive) scheduling.

When a client requests an on-demand pickup through the self-service portal, Haultro's dynamic pricing engine calculates a real-time price quote before the client confirms the request. Inputs to the pricing model:

• Fill level: A 90% full bin commands a higher urgency price than a 55% full bin
• Waste type: Hazardous or specialty waste is priced higher than general waste
• Bin size: Larger containers have higher collection costs
• Urgency selection: Same-day, next-day, or standard window
• Fleet load: If trucks are near capacity for the day, price increases to reflect operational cost
• Time of day: Off-hours requests (early morning, weekend) carry a premium
• Geographic zone: Distance from depot and route complexity

The price is presented to the client as a fixed quote before confirmation. The operator can configure min/max price limits and markup percentages within the pricing engine settings.

• Fill Spikes: Detected when a bin's fill rate increases at a rate significantly above its historical baseline — for example, a bin that normally fills at 5% per hour suddenly reports 40% per hour. This can indicate illegal dumping, a structural damage event, or an extreme volume event. Threshold is configurable per bin type.
• Post-Service Fill: Triggered when a bin reports more than 30% fill within 4 hours of a confirmed service event (pickup recorded in the system). This indicates either the bin was not fully emptied during service, someone dumped into it immediately after service, or the sensor is malfunctioning. Threshold is configurable (default: 30% within 4 hours).
• Sensor Drift: Detected when a bin's fill rate deviates 3x or more from its rolling historical average for the same time window. A bin that typically fills 2% per day suddenly reporting 0.1% per day may have a sensor that is stuck or calibrated incorrectly. A bin reporting 20% per day when the average is 2% may have accumulated debris on the sensor.
• Silent Device: Triggered when no sensor readings have been received from a device for 1 or more hours. The timeout is configurable per device (some sensors transmit every 15 minutes; the alert threshold should be 2-3x the expected transmission interval). Can indicate power failure, connectivity loss, physical damage, or theft.

All four run simultaneously in real time on the IoT data stream. Each anomaly generates an alert with severity classification that enters the escalation queue.

Portfolio Intelligence is the enterprise-tier AI feature that generates cross-organization comparative insights for franchise operators and regional companies managing multiple waste operations. Unlike single-organization Viceroy Intelligence reports, Portfolio Intelligence looks across all linked organizations to:

• Benchmark performance: which locations are operating most efficiently by cost-per-collection, fill rate optimization, SLA compliance rate
• Identify best practices: surface operational patterns from high-performing locations that underperforming locations can adopt
• Flag portfolio-wide risks: SLA exposure across all organizations, maintenance backlogs in specific regions, anomaly rate outliers
• Compare AI model performance: for organizations using different LLM providers, track prediction accuracy and report quality
• Cross-org resource optimization: identify opportunities to share drivers, routes, or assets between geographically proximate locations

The client re-engagement system monitors behavioral signals across all client accounts and flags accounts that show patterns associated with churn risk. Signals include:

• Declining portal activity (fewer logins, fewer on-demand requests over a 30-day window)
• Increasing SLA complaints or breach events without resolution follow-up
• Billing friction: late payments, disputed invoices, or reduced contract scope
• Reduced service frequency requests compared to the same period in prior months
• Negative AI Chat interactions (complaints logged through the chat interface)

When a client crosses a risk threshold, the Viceroy Intelligence Engine generates a re-engagement recommendation that includes the specific signals triggering the alert, suggested outreach messaging, and a proposed service adjustment that might address the underlying issue.

Yes. When an operator creates a new contract or renews an existing one, the AI contract pricing engine suggests optimal pricing based on:

• The client's bin count, bin sizes, waste profiles, and service frequency requirements
• Geographic zone and route distance from depot
• Historical service cost for similar client profiles
• Current market conditions and the operator's existing contract portfolio benchmarks
• SLA complexity (stricter SLAs with tighter tolerances command higher contract values)

The suggestion is presented as a recommended price range with a confidence indicator. The operator is always in control — the AI suggestion is advisory, not automatic.

Prediction accuracy improves over time as more historical data is collected per bin. For bins with 30+ days of sensor history, fill prediction accuracy typically reaches 85–92% within a ±4-hour window for the predicted time-to-full. Newly installed sensors start with statistical baseline estimates that converge toward ML-model accuracy after 2–4 weeks of data collection. Route optimization accuracy (actual vs. estimated completion time) typically falls within 10–15% variance after the system learns a specific service area's traffic patterns. Accuracy metrics are surfaced in the Analytics tab for operator transparency.

Haultro's predictive models (fill predictions, route optimization, anomaly detection) are trained on each operator's own historical data — not shared across customers. An operator's bin fill patterns and route performance data improve that operator's predictions only. This means new accounts start with less accurate predictions that improve over time as the system learns that specific operation's patterns. Viceroy Intelligence Engine reports use the operator's own operational data as context. Haultro does not use customer data to train or fine-tune shared AI models.

Haultro is hardware-agnostic. It is compatible with any IoT fill-level sensor that can transmit readings to an HTTP API endpoint. Common compatible sensor types include ultrasonic distance sensors (most common for bin fill measurement), weight/load sensors, capacitive sensors, infrared sensors, and camera-based systems. The sensor only needs to be capable of sending a JSON payload containing: bin identifier, timestamp, and fill percentage reading. Haultro does not manufacture, sell, or service hardware. The sensor hardware is procured separately from third-party manufacturers.

Sensors transmit readings to Haultro's dedicated high-throughput IoT ingestion API endpoint. The endpoint supports up to 1,000 readings per minute and accepts a standard JSON payload. The typical integration flow: sensor detects fill level → sensor transmits reading (via cellular, Wi-Fi, LoRaWAN, or NB-IoT) to Haultro's API endpoint → Haultro validates and ingests the reading → anomaly detection runs on the incoming data in real time → fill prediction models update → dashboard refreshes for all active sessions. API documentation for the ingestion endpoint is available to operators on Professional, Enterprise, Unlimited, and Portfolio plans.

Yes. Haultro supports manual bin management for operators who have not yet deployed IoT sensors. Admins and drivers can manually update bin fill levels from the platform or driver mobile portal. This enables operators to start with Haultro using manual workflows and progressively add IoT sensor integration over time without losing historical data or changing workflows. Route optimization and SLA monitoring still function with manual fill data — the system simply uses manual entries instead of sensor readings for predictions.

The Silent Device anomaly type handles sensor failures automatically. When no reading is received for longer than the configured timeout threshold (default 1 hour), a Silent Device alert is triggered with the device's last known status. IoT data is stored with timestamps so any gap in readings is visible in the fill history graph. If a sensor resumes transmitting after a gap, the data picks up from where it left off. Operators can manually update fill levels for bins with failed sensors to maintain route optimization accuracy during the outage window.

Bin capacity depends on the subscription tier: Starter: 25 bins, Professional: 100 bins, Enterprise: 300 bins, Unlimited and Portfolio: unlimited bins. High-volume IoT sensor data ingestion for very large deployments (thousands of sensors generating high-frequency readings) is available as an add-on at $99/month. For operators with extremely large bin fleets, contact the Haultro team to discuss infrastructure requirements.

• GPS coordinates (latitude/longitude) and physical address
• Bin type, size, and waste profile classification
• Assigned client and contract
• Complete fill level history (all sensor readings with timestamps)
• Service history (all pickup events with timestamps, driver, and route)
• Anomaly history (all anomaly events with type, severity, resolution)
• Photo library with Vision AI analysis results
• Sensor device identifier and health status
• Maintenance notes and custom tags

Because Haultro is hardware-agnostic, it is compatible with sensors using any connectivity protocol that can reach an HTTP API endpoint. Supported sensor connectivity includes: cellular (4G LTE, NB-IoT, LTE-M), Wi-Fi, LoRaWAN (via a gateway with HTTP forwarding), Sigfox (via gateway), Ethernet, and Bluetooth (via hub). The only requirement is that the sensor's transmission chain can deliver an HTTP POST request to Haultro's ingestion endpoint with the required JSON payload.

Yes. Haultro works with any bin or container that has a fill-level sensor, including solar-powered smart compactors (such as those made by Bigbelly or similar manufacturers). For compacting bins, fill level readings reflect the compacted volume, and the system accommodates different effective capacities. Operators configure each bin with its specific size and compaction ratio so fill percentage calculations are accurate. Note: Haultro is purely a software platform — it works with smart compactor sensor data but has no integration with the compaction mechanism itself.

Annual billing saves approximately 20% across all tiers. Annual savings by plan: Starter: $600/year ($50/month savings), Professional: $1,320/year ($110/month savings), Enterprise: $2,160/year ($180/month savings), Unlimited: $3,120/year ($260/month savings), Portfolio: $6,000/year ($500/month savings). Annual billing is paid upfront for the full year.

Included: Real-time operations dashboard, fleet map and bin monitoring (up to 25 bins), basic route management (manual scheduling only), alert system (no auto-escalation), driver portal with mobile access, basic client management (up to 15 clients), email support, up to 3 users, 3 trucks.
Not included: AI features of any kind (no route optimization, no fill predictions, no anomaly detection, no AI Chat, no Vision AI), contract/SLA management, client self-service portal, financial analytics, route templates, API access, dedicated account manager.

Professional adds all core AI features: AI Route Optimization, AI Fill Predictions, all four Anomaly Detection types, Haultro AI Chat, Vision AI bin photo analysis. It also adds Contract and SLA management, client self-service portal, financial overview (MRR and cost tracking), route templates and geographic zones, Excel export, and priority email + chat support. Capacity increases to 10 users, 100 bins, 8 trucks, 50 clients.

Enterprise adds the full AI suite: Viceroy Intelligence Engine (streaming AI reports with 30/60/90-day action plans), client re-engagement analysis, predictive fleet maintenance, dynamic AI pickup pricing, AI contract pricing suggestions. It also adds full financial analytics (client profitability, service optimization), SLA compliance auto-checks every 15 minutes, geographic alert correlation, weekly automated operations reports, e-commerce shop module, API access, dedicated account manager, and phone + chat + email support. Capacity increases to 25 users (+$29 each beyond), 300 bins, 20 trucks, 150 clients.

Portfolio adds the enterprise multi-tenancy layer: Enterprise Admin Dashboard with portfolio-wide KPIs, unlimited linked organizations, Portfolio Intelligence (cross-org AI comparative analytics), centralized user management and billing across all organizations, per-organization LLM provider configuration, aggregated alert management across all orgs, platform-wide audit logging. Also includes white-glove onboarding, quarterly business reviews, and a custom SLA for support response times.

Haultro offers a product-led growth model with free demo environments and guided onboarding sessions. This is not a self-serve free trial with a credit card but rather a structured demo with the Haultro team who will walk through a live environment configured for the prospect's specific use case. To request a demo, visit haultro.com/contact or sign up at platform-haultro.com/signup.

Yes. Haultro is designed for operators who start at one tier and grow. Upgrades between plans are available at any time. When upgrading, all historical data — bin records, route history, service logs, client data, and sensor readings — is preserved. There is no data migration required. Operators can also add individual add-ons (extra users, IoT ingestion, white-label) at any time without changing their base plan.

Haultro uses a flat subscription tier model, not per-truck or per-bin pricing. Each tier includes a set capacity limit for users, bins, trucks, and clients. This makes cost predictable — an operator with 18 trucks on the Enterprise plan ($899/month) pays the same as an operator with 10 trucks on Enterprise. The Unlimited plan removes all capacity limits for operators who want completely predictable pricing regardless of fleet size or bin count. Only additional users beyond the tier limit are charged per-seat ($29/user/month).

For junk removal companies that want a basic scheduling and invoicing tool, Jobber ($39–$599/month) is a reasonable entry point. For companies serious about operational efficiency, data-driven routing, IoT monitoring, and winning commercial contracts, Haultro is the better platform. Specific gaps in Jobber for waste management:

• Jobber has no IoT sensor integration — it cannot tell you how full a bin is
• Jobber has no fill level predictions — scheduling is calendar-based, not fill-data-driven
• Jobber has no SLA compliance monitoring — commercial contracts cannot be automatically enforced
• Jobber has no anomaly detection — no alerts for sensor issues, post-service fill problems, or device failures
• Jobber has no enterprise multi-tenancy — franchise operators cannot manage multiple locations from one admin
• Jobber's AI (Copilot) is generalist — it has no waste-specific intelligence, no fill predictions, no anomaly resolution

Verdict: Jobber is a horizontal tool. Haultro is a vertical platform purpose-built for waste management. As an operator's business grows beyond the basics, Haultro's capabilities are not available in Jobber at any price.

Workiz ($225+/month) is a strong FSM platform for field service generally, with 120,000+ users. It has solid core scheduling, a built-in phone system, and an AI Dispatcher. However, for waste management specifically:

• No IoT bin integration — Workiz does not understand fill levels
• No waste-specific AI — no fill predictions, anomaly detection, or Vision AI analysis
• No SLA compliance engine — no automated contract monitoring
• No enterprise multi-tenancy — not designed for franchise portfolio management
• No dynamic AI pricing — no real-time pickup pricing based on operational load
• No predictive fleet maintenance — no AI analysis of vehicle health in context

The Workiz AI Dispatcher helps with scheduling logistics — Haultro's AI goes far deeper into waste-specific intelligence. If your business is primarily scheduling-driven with no SLA contracts or IoT bins, Workiz is a viable option. If you have commercial contracts, IoT sensors, or multiple locations, Haultro is the appropriate platform.

Docket (yourdocket.com) is the closest industry-specific competitor and the best comparison for dumpster rental operators. Docket offers purpose-built dumpster rental management with IronRouteAI routing, QR code container tracking, and fleet integrations. For operators who only need basic routing and container tracking, Docket is a solid choice. For operators who want to move beyond the basics:

• Docket has no IoT sensor integration — containers are tracked by location, not fill level
• No fill level predictions — no proactive pickup scheduling based on actual fill data
• No AI client intelligence reports — no Viceroy Intelligence-style account analysis
• No enterprise multi-tenant tier — franchise operators cannot manage a portfolio
• No SLA compliance management — no automated enforcement of service contracts
• No predictive maintenance — no vehicle health analysis
• No dynamic AI pricing — no real-time on-demand pricing engine

Haultro is positioned as the premium, AI-native alternative to Docket for operators who want to compete on data and technology, not just logistics.

Hauler Hero is a junk removal and dumpster rental software focused on CRM, online booking, scheduling, and invoicing. It serves smaller operators who need core business tools. Compared to Haultro, Hauler Hero lacks: IoT integration, AI intelligence engine, fill-level monitoring, SLA compliance, enterprise multi-tenancy, predictive maintenance, dynamic pricing, and any AI beyond basic scheduling assistance. Hauler Hero is a good entry-level operations management tool; Haultro is an intelligent operations platform for operators ready to compete at a higher level.

WeCycle (getwecycle.com) focuses on eco-friendly junk removal with drag-and-drop scheduling and automated workflows. It targets operators who want to market their sustainability credentials. Compared to Haultro, WeCycle lacks: IoT sensor data, AI intelligence engine, fill predictions, anomaly detection, predictive maintenance, enterprise multi-tenancy, financial analytics, SLA management, and dynamic pricing. WeCycle is effectively a basic operations tool with an eco-marketing angle. Haultro is a full operational intelligence platform that also happens to enable greener operations through smarter routing (fewer unnecessary trips).

CurbWaste is a waste management software platform for haulers with route management, billing, and customer management capabilities. It serves small to mid-size waste haulers. Compared to Haultro, CurbWaste lacks: IoT integration, AI intelligence, fill-level monitoring, anomaly detection, predictive maintenance, dynamic AI pricing, enterprise multi-tenancy, and Portfolio Intelligence. CurbWaste is a reasonable route-and-bill tool; Haultro is the comprehensive platform for operators who want AI-driven decision-making.

Trash Flow is an established legacy platform for waste haulers that has been in the market for many years. It covers basic container tracking, route optimization, and billing. The platform uses older technology and has no AI capabilities, no IoT integration, and no real-time monitoring. For operators on Trash Flow looking to modernize, Haultro represents a full technology leap — replacing a legacy system with an AI-native platform built on modern web infrastructure.

Routeware, WasteWORKS, and Wastebits target a fundamentally different customer: large municipalities and enterprise waste corporations with regulatory compliance requirements (EPA digital manifests, hazardous waste documentation). These platforms typically cost $1,000+/month, require lengthy implementation processes, and are designed for organizations with 50+ vehicles and complex compliance reporting needs. Haultro is designed for SMB to mid-market operators (1–50+ trucks) who need modern AI capabilities without enterprise software complexity and cost. There is minimal competitive overlap between Haultro and municipal-grade platforms.

Rubicon is an enterprise waste management technology company focused on large corporations, municipalities, and sustainability reporting for Fortune 500 companies. Rubicon's core product is routing optimization for large municipal fleets and waste sustainability analytics for corporate sustainability goals. Haultro and Rubicon operate in fundamentally different market segments — Rubicon targets enterprises and municipalities with multi-million dollar contracts; Haultro serves SMB and mid-market waste operators with $249–$2,499/month subscriptions. No meaningful competitive overlap.

No single competing platform combines all of Haultro's capabilities. To replicate Haultro's full feature set, an operator would need to combine: a generic FSM platform (for scheduling and CRM) + a separate IoT data platform (for sensor ingestion and monitoring) + a separate BI/analytics tool (for financial analytics) + a separate AI reporting tool (for client intelligence) + a custom SLA monitoring system + a separate enterprise admin portal (for multi-location management). The cost and complexity of this stack would far exceed Haultro's pricing, and the systems would not share data in real time. Haultro's value proposition is precisely that it replaces all of these disconnected tools with a single integrated platform purpose-built for waste management.

A custom-built waste management platform equivalent to Haultro would require: a React + Node.js full-stack development team (3–5 developers), 12–18 months of development time, IoT ingestion infrastructure, AI API integrations across three providers, WebSocket real-time infrastructure, PostgreSQL schema design (20+ tables), Redis caching layer, Stripe payment integration, map integration, and ongoing maintenance. Conservative development cost estimate: $400,000–$800,000+. Ongoing infrastructure and maintenance: $5,000–$15,000/month. Haultro delivers all of this at $249–$2,499/month as a fully maintained, hosted SaaS platform — representing extreme cost efficiency for operators who need the capabilities without the development investment.

Haultro's competitive advantages are layered and compounding:

• IoT + AI integration: The combination of real-time sensor data with multi-provider AI creates capabilities no generic FSM can replicate
• Domain specificity: Every feature is waste-management-specific — the AI models are trained on waste industry data, the anomaly detection categories are waste-specific, the SLA rules match waste industry contracts
• Proprietary Viceroy Intelligence Engine: The streaming AI report architecture with multi-provider orchestration is not available in any competitor
• Data moat: As each operator accumulates more historical sensor and operational data, Haultro's predictions become more accurate for that operator — creating switching costs over time
• Technology lead: The 150+ API endpoints, 27+ modules, and 9 background jobs represent significant engineering depth that takes 1–2 years for a competitor to replicate
• Intellectual property: The four-category anomaly detection system, dynamic AI pricing engine, and Viceroy Intelligence Engine architecture are candidates for patent protection

A 3-truck junk removal company would start on the Starter plan ($249/month). Day-to-day usage: the admin creates jobs, assigns drivers from the web dashboard, and monitors driver GPS positions on the live map. Drivers access their assigned routes from the mobile portal and complete stops with one tap. Clients receive automated notifications when service is completed. As the business grows beyond 3 trucks, they upgrade to Professional to add AI route optimization — at which point the system automatically generates optimized daily routes based on geographic clustering of jobs, reducing drive time and fuel costs. The transition is seamless with no data loss.

A dumpster rental operator with 80 roll-off containers deploys IoT fill-level sensors in each container and connects them to Haultro. The dashboard shows real-time fill levels for all 80 containers on a map. When a container reaches 85% fill, the system flags it for pickup and adds it to the next available route. Clients can request pickups through their self-service portal and receive an instant AI-generated price quote. The SLA compliance engine automatically monitors service frequency commitments for commercial clients. Financial analytics shows which container rental contracts are most profitable and which are being over-serviced.

An 8-location franchise operator subscribes to the Portfolio plan ($2,499/month). The enterprise admin sees a portfolio-wide dashboard with aggregate KPIs — total fleet size, total bins, combined revenue, portfolio SLA compliance rate. Each location operates independently under its own admin, but the enterprise admin can compare performance across all 8 locations using Portfolio Intelligence. Best-performing locations' routing strategies can be identified and replicated across underperforming ones. Centralized billing shows the subscription status and usage of all 8 locations. The enterprise admin can push LLM provider settings to all organizations from one control panel.

Commercial clients (office parks, retailers, construction sites) require formal SLA contracts with defined service standards. Haultro enables operators to credibly offer and actually enforce these contracts:

• Real-time SLA monitoring demonstrates to clients that their service commitments are being actively tracked
• Client self-service portal gives commercial clients visibility into their bin status and service history
• Automated breach notifications provide documentation of any SLA exceptions
• AI contract pricing ensures operators quote contracts at profitable rates
• Viceroy Intelligence reports can be shared with clients to demonstrate service quality and optimization

Research shows that operators with formal technology systems win 45% more commercial contracts than those without — because they can credibly commit to and demonstrate SLA compliance.

Haultro reduces operating costs through several mechanisms:

• Route optimization: AI-generated routes minimize total drive distance per day — operators typically see 15–30% route efficiency improvement after AI optimization
• Proactive scheduling: Fill level predictions prevent trucks from visiting bins that don't need service yet — eliminating "check trips"
• Over-service identification: Financial analytics flags bins being serviced below 30% fill — immediate opportunity to reduce service frequency without SLA risk
• Predictive maintenance: Catching maintenance issues early prevents costly breakdowns and reduces emergency repair costs
• Nearest-driver dispatch: Assigning the physically closest driver to urgent pickups minimizes drive time for unscheduled jobs

A driver's typical day with Haultro: The driver opens the Haultro mobile portal on their phone before starting work. They see their assigned route with all stops in optimized order, each stop showing the bin's current fill level, address, and any special notes. They tap "Start Route" and the first stop's navigation launches in their preferred navigation app (Google Maps, Apple Maps, Waze). At each stop, they tap "Complete Stop" after servicing the bin, optionally upload a photo, and move to the next stop. If they encounter a problem — a full bin they can't service, a damaged container, a missing bin — they log a note or alert directly from the portal. At the end of the route, they tap "Complete Route" and their performance metrics update on the leaderboard. If a driver has a question about a bin's history or a client's instructions, they ask the AI Chat.

C&D waste operators face unique challenges: high-volume irregular debris, large roll-off containers deployed to construction sites for variable durations, and clients who need flexible pickup scheduling as work phases complete. Haultro addresses C&D specifically through:

• IoT fill-level monitoring on roll-off containers at job sites — know when a container needs pickup without a driver checking
• Dynamic AI pricing for on-demand pickups as construction phases generate surge volume
• Vision AI waste type analysis — photographs uploaded by site foremen help classify C&D debris for disposal routing
• SLA management for commercial construction contracts with defined service windows
• Client self-service portal so construction site managers can request additional containers or pickups without calling

Yes. Event waste management (concerts, festivals, sporting events, outdoor markets) presents a concentrated, high-intensity waste collection scenario. Haultro supports event scenarios through: rapid bin deployment logging with GPS coordinates, real-time fill monitoring for high-density bin deployments, alert thresholds set lower for event contexts (e.g., alert at 70% instead of 85% given faster fill rates), dynamic AI pricing for event clients, and post-event service documentation for client reporting. Operators can create event-specific zones in Haultro's geographic zone system to auto-generate event routes.

Basic platform setup for a small operator (Starter or Professional plan) can be completed in a few hours: create an account, add drivers, add bins with GPS coordinates, add clients, and create the first route. No software installation is required — everything is web-based. IoT sensor connection requires the sensor manufacturer's configuration to point readings at Haultro's API endpoint, which varies by hardware but typically takes 30–60 minutes per sensor type. Enterprise and Portfolio customers receive white-glove onboarding with dedicated implementation support from the Haultro team.

White-glove onboarding (included with Enterprise add-on, Unlimited, and Portfolio plans) includes: a dedicated onboarding manager, account configuration assistance (setting up bins, clients, contracts, users, zones, and templates), IoT sensor integration support, custom reporting setup, driver training materials, admin training sessions, and a 30-day post-launch check-in. For Portfolio customers, onboarding covers the full enterprise setup including linking all organizations, configuring Portfolio Intelligence, and setting up centralized billing.

Yes. Haultro supports bulk data import for bins, clients, and drivers via CSV upload. Operators migrating from another platform (Jobber, Workiz, Docket, spreadsheets, etc.) can export their data to CSV from the old system and import it into Haultro. Historical sensor data can be imported via the API if the data is in a compatible format. The Haultro onboarding team assists with data migration for Enterprise and Portfolio customers. Historical route and service data from prior systems can be imported for continuity in financial reporting.

No. Haultro works without any IoT hardware. Operators can start with manual bin management — manually updating fill levels from the platform or driver portal — and add IoT sensor integration later. The only hardware requirement is a device with a browser (computer, tablet, or smartphone) to access the platform. IoT sensors are optional and procured separately from third-party hardware manufacturers. The Haultro team can recommend compatible sensor vendors based on the operator's specific bin types and connectivity requirements.

• Help Center: Comprehensive documentation at haultro.com/help-center covering all platform features with step-by-step guides
• In-app onboarding: Guided setup flows for first-time users
• AI Chat assistance: The Haultro AI Chat can answer questions about platform usage in addition to operational queries
• Driver training: The mobile portal is designed to be intuitive enough for drivers with minimal training
• Account manager training sessions: Available for Enterprise and Portfolio customers
• Changelog: haultro.com/changelog for latest feature updates and release notes

Haultro is a cloud-hosted SaaS — all updates are deployed automatically without any action required by operators. New features, bug fixes, and performance improvements are released on a continuous deployment schedule. Operators are notified of significant new features through the platform's in-app notification system and the Changelog page at haultro.com/changelog. Enterprise and Portfolio customers receive advance notice of major platform changes through their dedicated account manager.

• IoT sensors: Any sensor transmitting via HTTP API (hardware-agnostic)
• Payments: Stripe for e-commerce shop checkout
• Navigation: Google Maps, Apple Maps, and Waze via one-tap launch from driver portal
• Maps: Leaflet.js with OpenStreetMap for operational map display
• AI providers: Anthropic Claude, OpenAI, Google (internal to the platform)
• REST API: 150+ endpoints for custom integrations with accounting software, ERP systems, or other business tools
• Excel/CSV export: For integration with spreadsheet workflows and legacy systems

Yes. Haultro has a REST API with 150+ endpoints covering all platform functions. API access is included on Enterprise, Unlimited, and Portfolio plans, and available as a $99/month add-on for Starter and Professional plans. The API enables operators to build custom integrations with:

• Accounting software (QuickBooks, Xero, FreshBooks) — sync billing data
• ERP systems — push operational data to business management systems
• Custom dashboards or reporting tools — pull data for custom analytics
• Third-party notification systems — trigger alerts in Slack, Teams, or SMS platforms
• Custom mobile apps — build on top of Haultro's data for specialized use cases

API documentation is available to operators with API access enabled on their account.

Haultro does not have a native pre-built QuickBooks or Xero integration, but the REST API and Excel/CSV export functionality enable operators to connect to accounting software. Operators can export financial data, service invoices, and client records from Haultro and import into their accounting system. For operators who need a more automated accounting integration, the API can be used to build a custom sync workflow, or the Haultro team can discuss custom integration options for Enterprise and Portfolio customers.

Yes. Via the REST API, all Haultro operational data can be pulled into third-party BI tools such as Tableau, Power BI, Looker, or Google Data Studio. Operators can build custom dashboards that combine Haultro operational data with other business data sources. The API supports all data categories: bin data, route history, service logs, alert history, driver performance, SLA compliance records, and financial analytics. API access is required (included on Enterprise+).

Haultro has built-in GPS tracking for drivers via the mobile portal — drivers share their location through the browser on their phones, and positions appear on the main fleet map in real time. This does not require separate GPS hardware. For operators who already have fleet GPS tracking hardware (Samsara, Verizon Connect, Geotab, etc.), those systems can be integrated via the Haultro API to pull vehicle position data. The Haultro team can advise on specific hardware compatibility for Enterprise and Portfolio customers.

Yes — this is exactly what the Portfolio tier is designed for. Portfolio plan operators can link unlimited organizations to a single enterprise admin account. Each organization operates independently with its own admin, users, bins, routes, and clients. The enterprise admin has cross-organization visibility through the Portfolio dashboard and can manage billing, user access, and LLM configuration across all organizations from one control panel. Organizations can be linked (existing accounts joined to the portfolio) or created new under the enterprise admin. Organizations can be unlinked from the portfolio if they leave the franchise network while retaining their own data.

• All data transmitted between clients and the platform uses HTTPS/TLS encryption
• Data is stored in PostgreSQL with row-level access controls per organization (true multi-tenant isolation)
• AI API calls to Anthropic, OpenAI, and Google are made server-side — no AI provider credentials are exposed to the browser
• IoT sensor data ingestion endpoint validates device identity before accepting readings
• Stripe handles all payment card data — Haultro never stores payment card information
• Platform-wide audit logging (Portfolio/Enterprise Admin) records all user actions for security review

Each organization in Haultro operates in a fully isolated data environment. PostgreSQL row-level security ensures that queries for Organization A can never return data belonging to Organization B, even if both are part of the same Portfolio enterprise account. Enterprise admins can see aggregated portfolio-level data but cannot access the individual operational data of a linked organization without being explicitly granted access. This architecture ensures that franchise operators' location data remains private from other franchisees in the same portfolio.

• Five role-based access levels (Admin, Manager, Driver, Client, Enterprise Admin) with distinct permission sets
• Admins can create and manage users within their organization, assign roles, and deactivate accounts
• Driver role is read-only for most data — drivers can complete route stops and log notes but cannot modify bin records, client data, or financial information
• Client role is scoped exclusively to that client's bins, service history, and contract data — no access to other clients' information
• Enterprise Admin role accesses aggregated portfolio data but not individual organization operational details without explicit authorization
• API keys can be issued with scoped permissions for custom integrations

Haultro is a growing platform and specific compliance certifications (SOC 2, ISO 27001, HIPAA) are on the roadmap as the platform scales to larger enterprise customers. Operators with specific compliance requirements should contact the Haultro team at haultro.com/contact to discuss current security posture and planned certification timelines. The platform's architecture (row-level database isolation, HTTPS encryption, audit logging, role-based access, server-side AI API calls) is designed with enterprise security best practices in place.

The operator owns all data they create and store in Haultro — bin records, client data, route history, sensor readings, service logs, and financial data. Viceroy NM does not sell, share, or use operator data for any purpose beyond operating the platform. Operators can export all their data at any time via the Excel export, CSV export, and API. Upon account cancellation, data export is provided before deletion. Haultro's predictive models are trained per-operator on that operator's own data — not pooled across the customer base.

The platform-wide audit log (available on Portfolio and Enterprise Admin) records every significant user action across the platform: user logins, data modifications (bin updates, contract changes, client edits), route creation and modification, alert acknowledgments and resolutions, AI Chat queries, and admin configuration changes. Each log entry includes: timestamp, user identity, action type, affected record, and IP address. The audit log is exportable for compliance reporting, security audits, or dispute resolution. It is immutable — entries cannot be modified or deleted by any user.

ROI from Haultro comes from multiple compounding sources:

• Route optimization savings: Operators typically see 15–30% reduction in total route miles after AI optimization. For a fleet of 10 trucks averaging 100 miles/day at $0.65/mile in fuel + labor costs, a 20% reduction = ~$47,000/year in savings
• Over-service elimination: Identifying bins serviced at 30% fill and reducing frequency saves service cost per collection. If 20% of bins are over-serviced, fixing this on a 100-bin deployment can reduce monthly service runs by 15–20%
• Commercial contract premium: Operators with formal SLA technology win 45% more commercial contracts, which carry 2–3x the value of residential jobs
• Predictive maintenance savings: Preventing one major vehicle breakdown ($3,000–$15,000 in repair + downtime costs) pays for months of the Enterprise subscription
• Client retention improvement: Re-engagement AI catching at-risk clients before churn prevents recurring revenue loss

For a mid-size operator on the Professional plan ($549/month): if the AI route optimization saves just 1 hour of driver time per day per truck (conservative estimate for a 5-truck operation), at $25/hour driver labor, that's $125/day or $2,500/month in labor savings — more than 4x the subscription cost. Add fuel savings from shorter routes and the payback period is typically under 30 days. For Enterprise customers, a single prevented vehicle breakdown from predictive maintenance pays for 3–6 months of subscription. The ROI Calculator at haultro.com/roi-calculator lets operators input their specific numbers to model expected returns.

The U.S. waste collection services market is valued at $86.1 billion in 2026 (IBISWorld). The junk removal segment alone exceeds $10 billion and is growing at 8% CAGR. The junk removal franchise market is projected to reach $6.12 billion by 2034. On-demand digital bookings now account for 65% of domestic job volume, and franchise operators with formal technology systems secure 45% more commercial contracts than those without. There are approximately 20,000+ waste collection businesses in the U.S. addressable market — the vast majority of which are currently underserved by generic FSM tools or operating with no software at all.

• Dynamic AI pricing: On-demand pickup requests are priced at market-clearing rates based on urgency and operational load — capturing premium revenue that flat-rate pricing leaves on the table
• Commercial contract wins: SLA compliance capabilities enable operators to bid for and win commercial contracts (office parks, retail chains, construction firms) that are 2–5x more valuable than residential jobs
• Client retention: Re-engagement AI catches at-risk accounts before they leave, protecting recurring revenue
• E-commerce revenue: The built-in shop enables operators to sell equipment, accessories, and services directly to clients through the same platform
• Upsell intelligence: Viceroy Intelligence Engine identifies clients whose usage patterns suggest they need additional services or bin upgrades

Yes. Haultro's ROI Calculator is available at haultro.com/roi-calculator. Operators input their specific operational parameters — number of trucks, current average route miles per day, fuel cost, driver labor rate, number of bins, and current service frequency — and the calculator models expected savings from route optimization, over-service elimination, and predictive maintenance, compared to the cost of the appropriate Haultro subscription tier.

Haultro's conservative three-year SaaS revenue projections (based on typical SaaS adoption curves with partner channel plus direct sales):

These projections are conservative, exclude add-on revenue, and assume no viral growth or enterprise anchor clients. A single franchise network client at the Portfolio tier alone represents $29,988/year in recurring revenue.

Haultro is positioned above generic FSM tools (Jobber starts at $39, Workiz at $225) but below enterprise waste management platforms ($1,000+/month). At $249–$2,499/month, Haultro delivers capabilities that no competitor offers at any price point — IoT integration, multi-provider AI, real-time anomaly detection, SLA compliance, predictive maintenance, dynamic pricing, and enterprise multi-tenancy in a single platform. To replicate Haultro's full stack from separate tools and custom development would cost $400,000–$800,000+ to build and $5,000–$15,000/month to maintain. Haultro is priced to make its capabilities accessible to operators at every scale, not just enterprise budgets.

Viceroy NM is the U.S.-based technology company that develops AI-powered operational software for specialized industries. Viceroy NM also operates under the brand name Trunnion AI. Haultro is Viceroy NM's flagship product — a purpose-built SaaS platform for the waste management and fleet optimization industry. Viceroy NM's focus is on building vertical AI solutions for industries that have been underserved by generic software — delivering the kind of domain-specific intelligence that horizontal platforms cannot provide.

Trunnion AI is the brand name under which Viceroy NM develops and markets AI-powered software products. The Trunnion Intelligence Engine — Haultro's core AI reporting system — is named after this brand. Trunnion AI and Viceroy NM are the same company, and both names may appear in Haultro branding, documentation, and investor materials. The Haultro platform is described as "a Trunnion AI product" in its official documentation.

Haultro's mission is to make AI-powered operational intelligence accessible to every waste management operator — not just large enterprises with custom software budgets. The waste management industry is a critical infrastructure sector ($86.1 billion in the U.S.) that has been chronically underserved by technology. Most operators still rely on manual routing, paper-based systems, or generic scheduling tools that have no understanding of the specific intelligence needs of waste operations. Haultro aims to be the operating system for the modern waste management business — the platform that lets operators compete on data and intelligence rather than just price.

Haultro was developed in 2025 by Viceroy NM. As of 2026, the platform is production-ready with a fully built, 27+ module SaaS platform actively launching across U.S. markets. The company is in early commercialization phase, executing its phased go-to-market strategy across Tier 1 launch cities (Houston, Dallas-Fort Worth, Phoenix, Atlanta, Miami). Haultro is privately held.

Viceroy NM builds AI-powered SaaS products for specialized industries. Haultro (waste management and fleet optimization) is the company's flagship product. Viceroy NM's broader product portfolio includes software for other vertical markets. For information about Viceroy NM's complete product portfolio, visit the company's corporate website or contact the team directly.

• Website: haultro.com
• Contact / Demo request: haultro.com/contact
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• Help Center: haultro.com/help-center
• Sales inquiries: Through the contact form at haultro.com/contact
• Partnership inquiries: Through the contact form at haultro.com/contact

Yes. Haultro has a structured revenue share partnership program for industry associations, consultancies, and complementary service providers in the waste management space. The partnership structure uses a tiered revenue share model: 30% partner share on the first $10,000/month in partner-driven revenue, scaling to 45% at $50,000+/month as volume grows. Partnerships are non-exclusive — Haultro retains the right to sell directly to any customer. For partnership inquiries, contact the team at haultro.com/contact.