01 — Inventory
Real-time stock truth
Every unit tracked live across the network, so platforms never sell what isn’t on the shelf — the foundation of 99% accuracy.
Built in-house
Selling on Uber Eats and the on-demand apps lives or dies on operations. MNGR is the store and warehouse OS we built in-house — and now open to retailers and brands — to make a 15-minute, 99%-accurate order the default at any scale.
The warehouse OS Filed Nº004.1
MNGR is the warehouse OS we built from scratch for on-demand — the system a retailer runs to sell on Uber Eats and every platform their customers order from. It holds one source of stock truth, sequences picking for speed, and hands clean orders to the last-mile fleet — across every store, in real time.
For retailers & brands Filed Nº004.2
Legacy grocery systems were built for the aisle and the weekly re-order — stock counted overnight, shelves reconciled on a cycle, a shopper who walks the store themselves. On-demand runs in minutes, and those dinosaurs were never designed to feed a live app shelf that has to be right to the last unit. MNGR was built for that reality from the first line of code, on a backbone architected to run 1000+ stores at once — so a bigger estate never means a slower one.
The stack Filed Nº004.3
01 — Inventory
Every unit tracked live across the network, so platforms never sell what isn’t on the shelf — the foundation of 99% accuracy.
02 — Fulfilment
MNGR sequences each pick path for the shortest route through the store, so every basket is picked in about two minutes.
03 — Last-mile
Completed orders flow straight to the right driver with the right batching, tightening the gap between checkout and doorstep.
04 — Integrations
MNGR integrates with your existing stock and ERP systems for live inventory data — then pushes it out to every delivery app and platform. No rip-and-replace: keep your system of record, and add the on-demand layer it was never built for.
Monitoring Filed Nº004.4
Every order is a pipeline, and MNGR watches all of it — network-wide and store by store. Acceptance, picking, handover, delivery: each stage is timed and scored, so the whole Click-to-Eat process only gets faster and more accurate.
Run on our stack
Skip years of building. Put every store on the apps, on the backbone already moving 150,000+ orders a month.
File a technology enquiry — Manifest Nº005