Autonomous AI discovery built for logistics & supply chain.
Run an autonomous AI analyst on your shipments, inventory, and exception data — find the drift before customers escalate, and ship the recommendation the same week.
Built for 3PLs, freight & last-mile carriers, fulfillment networks, and shippers & manufacturers.
Autonomous discovery on the data your network already runs on.
Your shipments, lanes, exceptions, dock events, and inventory positions already live in your data. The questions worth asking — which lane is drifting, where exceptions concentrate, why one DC is bottlenecked — sit there too, unasked. DecisionBox runs them, with every number re-checked against your data before it ships.
See how every number gets checkedThe signals already in your data are what every missed promise looks like.
Three benchmarks every ops, supply-chain, and inventory leader is quietly paying right now. Every one points to the same gap: the signal is in the data; nobody has the bandwidth to read it. By the time the customer call lands, the SLA has slipped, the SKU has stocked out, or the lane has drifted past recovery.
From a pattern to a playbook.
Every finding the agent surfaces comes paired with a recommendation — a target segment, an expected impact, a concrete set of actions. Three pairs below, pinned as the agent surfaced them.
See the lane, SKU, or DC drifting on your data — before the next customer call.
For 3PLs, freight, fulfillment, and every flow in between.
Same engine, same data, different analysis areas. Pick the surface that matters this ops cycle.
Reorder timing, stock-out risk, and demand drift the planner never had time to ask.
Inventory distortion costs the global retail industry $1.73T a year. Most of that is unread cohort, demand-curve, and replenishment signal sitting in the data. The agent runs the questions the planner doesn't have time to ask — and surfaces the SKUs and locations where the next stock-out or overstock is forming.
- Reorder-point drift by SKU and location
- Stock-out risk scored against demand signal and lead time
- Replenishment cadence decay across cohorts
- Production-planning misalignment with inbound demand
- List-price and quote-pricing drift against margin and demand response
Built for the people who own the customer call.
Three things every ops review needs and never quite has time to do. Every DecisionBox run ships all three.
Sees what nobody had time to look for
The lane, SKU class, or DC drifting now — surfaced before the carrier scorecard catches it and before the customer call lands. You review the shortlist; you don't write the queries.
Every number you'd defend in a QBR
Every figure is independently re-checked against your data before it ships. When the customer or the CFO pushes back, you have the trail to back it up — no guesswork, no "let me get back to you."
Your data stays with you
Operations data and credentials never leave your environment. You stay in control of where the data sits, who sees it, and what leaves the building.