Capability
AI Agents that act on precedent, off the order itself — not a rulebook you maintain
They learn how your team actually dispatches — same lane, same carrier, same exception call — and act on the live order record, with a trace on every decision. Not static rules someone rewrites each time policy moves.
From dealer networks to the doorstep — built on rails that moved 1M+ shipments a year for India’s biggest manufacturers
Key Capabilities
Every capability below reads — and writes — the same record.
The 2 AM load, dispatched
Order-to-vehicle matching and carrier selection run on precedent, no morning queue.
Ceiling read off the record
Contracted rates and spot history set the ceiling — not a rule someone types.
NDR caught before RTO
A failed delivery reattempted on precedent — before the order flips to a return.
Trust calibrated per decision
New tasks run in shadow mode; proven ones execute; every action leaves a trace.
The Problem
A mid-size operation makes 500-1,000 operational decisions a day — carrier assignment, rate confirmation, the NDR call, which order ships first. Roughly 70% are routine: the same call every time, on the same inputs. Each still waits for a human.
What waits on a human today
| Today | With Fretron |
|---|---|
| 1,000+ routine calls a day, each queued for a human | Agents clear the routine 70%; humans keep the 30% |
| The 2 AM load waits for the morning shift | Matched to a vehicle on precedent overnight |
| Why this exception got reattempted lives in one head | That precedent sits on the record, and stays |
How It Works
The four agents read and write one record — order, stock, ship, delivery — so there’s no seam between what an agent sees and what the operation runs on. Each has a defined scope: dispatch assigns loads, negotiation sets rates in policy, and the orchestrator watches for conflicts.
Trust is calibrated per task: decisions with deep precedent execute with a full trace, unfamiliar ones go to a human, and new ones run in shadow mode. The agents adapt to your patterns — rescuing an NDR before return, or raising a PO when stock dips low.
Outcomes
Results you can expect
70%
of routine decisions automated in 90 days — target, confirmed in your pilot
40%
more throughput at the same headcount — target, confirmed in your pilot
Traceable
Every decision the agents make leaves a trace on the record
Quarterly
Accuracy gains you can measure as the agents learn your patterns
Related capabilities
Logistics Control Tower
A logistics control tower that's true because trips run on it — not a GPS dashboard watching from outside. Exceptions routed before the customer calls.
Learn MoreSupply Chain Analytics
Supply chain analytics on one record — freight cost leaks, channel margin gaps, bottlenecks, and emissions priced per lane, per channel, per order.
Learn MoreDispatch Planning
Automate dispatch with AI load planning — optimal plans in 30 min on the record your yard, tracking, and billing read. Cut TAT, cut costs, improve OTIF.
Learn MoreProof
Rated by the teams who run on it
The proof is your own data: in a demo we run one day of your real orders on one record — order to stock to delivery — so you see the mechanism before you commit.
See your flow on one record
Bring one day of orders or dispatches — we’ll trace them across your channels, warehouses, and carriers.
Book a demo on your order flow