Score every AI agent across your dispatch and delivery flow.
Route planners, tracking agents, exception triagers — every vendor pitches lower cost-per-stop. AgentScore reads your TMS, carrier feeds, and dispatch logs to tell you which agents actually improve on-time delivery and which create exception work somewhere else in the chain.
What you see in the dashboard
- Per-agent score across on-time delivery, exception turnaround, dispatch override rate, and cost-per-stop impact.
- ImplementationScore for the operation — workflow integration with the TMS, data foundation across carrier APIs, governance on driver-facing automation.
- Recommendations that point at the corridor, lane, or carrier where the agent is silently underperforming — fix the routing rule, not the dashboard.
The agents
What AI in a logistics operation typically looks like.
Routing, tracking, and exception management — same eight factors as every other vertical, weighted for last-mile operations.
Route planner
Generates driver routes by stop count, time-windows, and vehicle constraints. Re-routes around live disruption.
Shipment-status agent
Watches carrier feeds, answers customer where-is-my-order questions, escalates outliers to ops.
Exception triager
Catches missed pickups, late tenders, damaged-on-arrival reports — prioritizes which need a human now.
Driver dispatch copilot
Suggests next assignment, accounts for hours-of-service, mutes itself when a dispatcher overrides.
Inventory replenishment
Predicts SKU stock-outs, drafts POs, sends them to a planner for one-click approval.
The signal
What we read from your TMS and carrier feeds.
OAuth into the TMS where available; CSV otherwise. Carrier event-stream parsing for the live ops view.
On-time delivery
Share of agent-routed shipments delivered inside the promised window.
Exception turnaround
Median time from exception event to operations action when the agent triggered the alert.
Dispatch override rate
How often a human dispatcher rejects the agent's next-assignment recommendation.
Customer-update latency
Time from carrier event to a customer-visible status update.
Cost per stop / per shipment
Operating-cost delta on agent-managed routes vs. baseline routing.
Regional 3PL · 38 trucks · 2 routing agents
A routing agent that lowered cost-per-stop while late deliveries climbed.
The agent dropped average cost-per-stop by 4.2% — a clean number on the demo. AgentScore caught a 6-point on-time-delivery drop on three corridors specifically, where stop sequencing was packing too many drops into a tight time window.
Two corridor constraints adjusted, dispatcher override rate fell back to baseline, on-time recovered without giving up the cost win.
SOC 2 in progress
Type II audit kicked off Q3 — interim report on request.
Read-only data access
OAuth scopes never request write to your CRM, jobs platform, or call data.
Algorithm-only scoring
Every score computed by ASAM. No manual overrides — not for customers, not for us.
Anonymized at ingest
Identifiers stripped before any aggregate analytics. We never train on identified rows.
Score your routing and tracking agents.
Connect your TMS or drop a CSV. 48 hours to first score.