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
The v1.4 blueprint names ElevenLabs Scribe as Haultro's speech intelligence layer: realtime transcription for live calls and in-cab voice, batch transcription for voicemail, inspections, PII redaction, and dispute evidence.
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 blueprint intentionally weights the catalog 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 one-click human approval with context and records attached.
Acts autonomously inside a stated 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.
Yes. Your operating data sits in your per-tenant workspace with role-based access control, encrypted in transit and at rest. See the security page for details.
No. The blueprint 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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