Deliver every box next week, at cost
Next week per fulfillment center, re-planned continuously: demand from the recommendation engine, receipts due, shortages, labor against the shift plan, packaging against the weather. Moves under a cost threshold run on their own.
A sample of the app on simulated data. Book a call to click through it live, or to see it on your own exports.
One working session with the people in the seat: which decisions, which systems, what a good week looks like.
The app you see above, running on your own exports instead of the simulated world. Every screen, every decision, your numbers.
Wired to your systems with your permissions, agents proposing, people approving, the ledger recording who did what.
Overview
Raise or cut a purchase order, pull a receipt forward, move boxes between centers, add a shift, change packaging on a hot lane, steer a product's recommendation weight. Each move shows what it costs and what it should return; the policy threshold decides which ones wait for a person.
Decisions it produces
- Apply a priced move
- Set the auto-apply threshold
- Publish the plan
- Run a growth scenario
The world it runs on
A simulated subscription grocer: about 700,000 households, five fulfillment centers, a thousand SKUs, a recommendation engine that fills most of the box. 25,000 sampled households over eight weeks with the causal links written down: demand from recommendations, shortages from lead time, bad boxes from lanes and weather, tickets from bad boxes.
Every company, person and number in this demo is simulated; anchors are public facts or plausible for the segment. Substitute your own feeds and the same apps run on your operation, with your permissions.