What the AI does
Re-sequences routes against locations, fill levels, traffic, truck capacity, time windows, and landfill cutoffs, with confidence-scored recommendations.
Forecasts capacity with linear, accelerating, and decelerating patterns, day-of-week analysis, and confidence scoring.
Detects Fill Spike, Post-Service Fill, Sensor Drift, and Silent Device events before they cascade into missed service.
Analyzes photos for fill percentage validation, waste type, contamination, and physical condition.
Factors fill level, waste type, bin size, urgency, fleet load, time of day, and geographic zone.
Generates component-level predictions, predicted failure windows, urgency scores, and route-aware maintenance scheduling.
Streams client, route, margin, retention, and portfolio reports with 30/60/90-day action plans.
Can query bins, generate routes, find nearest drivers, and resolve anomalies inside role-based permissions.
Speech intelligence
Twilio and ElevenLabs contracts, consent controls, structured records, latency evidence, and Haultro tool-call boundaries are built. Live calling and transcription require configured provider accounts and sandbox acceptance.
Answers inbound calls, captures consent, qualifies the job, runs dynamic pricing, books the work, sends SMS follow-up, and escalates to a human when the call leaves the script.
Lets drivers log service, exceptions, blocked access, contamination, and notes hands-free while parked or moving under the safety threshold.
Turns spoken inspection notes into structured maintenance work orders with component, urgency, parts, and truck history context.
Batch transcription creates diarized, redacted transcripts and evidence packs for billing disputes, SLA credits, and regulated customers.
How it works
Tier 1
Fill forecasting, anomaly detection, and predictive fleet maintenance turn operational history into alerts before the problem is visible.
Tier 2
Route optimization, dynamic pricing, Vision AI, and field recommendations sit inside dispatch, driver, and customer workflows.
Tier 3
Streaming strategy reports, client re-engagement, churn risk, expansion plays, and portfolio benchmarking brief leadership.
Autonomy model
The catalog is intentionally weighted toward Assist and Copilot first. Agent actions are reserved for bounded work, logged, and overridable by the owning role.
Surfaces information or a suggestion while a human takes the action.
Drafts an action for human approval with context and records attached.
Acts only inside an explicit guardrail, logs the action, and stays overridable.
Lifecycle map
Each integration is anchored to a lifecycle stage and role, so intelligence appears where the team actually works: dispatch board, driver app, customer portal, billing queue, SLA review, or executive cockpit.
FAQ
A multi-tier AI built into the platform, with department-level agents that analyze, advise, and report across dispatch, fleet, and billing, then roll insights up to an executive view. It optimizes routes, predicts fill and maintenance, scores profitability, and answers questions in plain language.
Built in. The intelligence lives inside the workflows your team already uses, not in a separate analytics tool, so predictions and prescribed actions show up where the work happens.
Per-tenant access controls and encrypted transport are implemented, with AES-256-GCM application encryption for selected secrets and sensitive fields. Current hosting and storage encryption evidence must be confirmed for the deployed environment; see the security page for details.
No. Haultro splits AI into Assist, Copilot, and Agent levels. Every scoped integration has a trigger, owning role, autonomy tier, guardrail, and human override path.
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