The problem_
What the record says, and what's on the floor. At network scale, the gap between them is carrying cost you can't see and labor you can't recover. Inventory distortion costs the industry $1.8 trillion a year. (IHL Group)
This is the category we're building.
Every Product. Every Movement. Every Warehouse.
Proof_
Continuous, location-level visibility at GEODIS keeps the floor and the record in agreement, every shift. The teams that can't afford a bad number, GEODIS, Barrett, and NFI, already run on continuous ground truth.
How it works_
01
See
Vision reads every location on the floor, continuously, case-level.
02
Think
Sage reconciles what Vision sees against the systems you already run.
03
Act
Workflows route each exception to the right person to resolve.
FAQ_
What is the ROI timeline for Gather AI?
Typical time to ROI is six months. GEODIS cut manual counting from 4,400 to 800 hours a year, and NFI runs five times the operational productivity.
How does Gather AI standardize a multi-facility network?
What works in one building becomes the standard across the network, with cross-facility benchmarking and a replication model built in.
How is this different from a cycle count?
A count is accurate the moment it ends and stale by the next shift. Gather AI observes continuously, so the picture is current when you act.
Get started
See the business case on your own network.
