Count Reconciler
Reads cycle counts against system quantity and flags the SKU whose error is growing, not just the one that is wrong today.
09Designed, not yet running
AI agents for warehouse and fulfillment operations
Count accuracy, pick paths and the order that will miss its cutoff.
The WMS knows where everything is supposed to be. A fleet reads it against what actually happened and surfaces the discrepancy, the slow pick path and the order at risk while the shift can still fix them.
Warehouse managers, inventory leads, 3PL operators
The architecture is specced and the guardrails are set, but no named account is running it yet. We say so rather than imply otherwise.
Where the day goes now
Cycle counts find a discrepancy that started six weeks ago. Pick paths were set when the racking was laid out and the fast movers have moved since. An order misses a carrier cutoff and the first anyone knows is a customer email. Labour is planned from last week's volume rather than today's queue.
What it reads
Your WMS — NetSuite WMS, Fishbowl, ShipHero or similar · carrier APIs · the scanner data you already collect · the receiving paperwork
Read-only, through credentials you issue and can revoke in a click.The fleet
Six specialists, each with one job and a written cap.
Not one assistant asked to do everything. Six narrow agents that run on a schedule, hand their work to a person, and log what they did. You can read every one of their instructions.
Pick Path Watch
Measures actual pick travel against the slotting and names the SKUs worth re-slotting this month.
Cutoff Risk
Watches the open order queue against carrier cutoffs and flags what will miss while there is still time to expedite.
Receiving Clerk
Reconciles the ASN against what actually arrived and drafts the discrepancy claim.
Labour Forecast
Projects the hours the next shift needs from the real queue, not last week's average.
Damage Signal
Correlates damage reports by SKU, lane and carrier to find the one that is systemic rather than unlucky.
06:30, before anyone opens a tab
The Morning Brief
One agent reads everything that changed overnight and says it out loud in under a minute. Items that need a person are named. Nothing in it was decided by the fleet.
Hear the Morning BriefSynthetic voice · invented data
0:00
“Good morning. Shift starts in forty minutes. Three things. First: nine orders in the open queue will miss today's carrier cutoff at the current pick rate — they are listed in the order I would expedite them. Second: cycle counts found four discrepancies overnight, and one of them is the same SKU that drifted last month and the month before, which makes it a process problem rather than a counting problem. Third: the inbound from Keystone arrived eleven cartons short against the ASN. The discrepancy claim is drafted and nothing has been filed.
Sample script · invented names and figures · Warehouse & Fulfillment
What it never does
The same rule our own agents live under at the agency: unattended things hold read-only keys; anything that writes needs a person in the loop, per task.
- Read-only into the WMS. No inventory adjustment happens without a person.
- Discrepancy claims are drafted; a human files them.
- Re-slotting is a recommendation with the travel math shown, never automatic.
- Labour forecasts inform a manager; they do not schedule anyone.
How it is pricedDesigned, not yet running on a named operation. The routing work behind the pool service rebuild is the nearest proven relative — the same measure-first, re-solve, prove-the-delta discipline applied to travel inside four walls instead of across a city.
Same architecture, different nouns
The other nine
01AttorneysDesigned, not yet running02Insurance AgenciesDesigned, not yet running03SchoolsRunning today04Marketing & Advertising AgenciesRunning today05Pool CompaniesRunning today06Construction CompaniesRunning today07Amazon SellersDesigned, not yet running08ManufacturingDesigned, not yet running10Shipping & LogisticsDesigned, not yet running
Name the one boring, repeated task.
That is the whole first conversation. We map warehouse managers, inventory leads, 3pl operators, pick the task your people would most like back, and show you what the first agent would do before it does anything.