Industry
Restaurant
Recipe-level P&L. Aggregator reconciliation. Floor analytics.
RestoPi unifies POS, kitchen display, inventory, forecasting, and floor analytics for single outlets, multi-brand operators, and cloud kitchens.
Problems we solve
The patterns that show up in every reference call.
- 01Aggregator reconciliation happens manually and losses hide in it.
- 02Recipe costing updated once a year, then ignored.
- 03Item-level P&L nobody trusts because the inputs are stale.
- 04Kitchen station SLAs nobody measures.
- 05Inventory waste tracked on paper, written off at month end.
What we do for this sector
Capabilities built for restaurant
POS (dine-in, takeaway, aggregator)
Swiggy/Zomato/Uber Eats/Talabat/Careem/DoorDash/Deliveroo — menu, orders, reconciliation.
Kitchen display system
Course firing, modifier routing, per-station SLAs and bump-and-pay flows.
Recipe & menu engineering
Recipe cost, yield variance, menu mix, item-profitability ranking.
Demand forecasting
Item-level, hourly, trained on your 13-month history.
Inventory & waste
Par-level stock, waste reasons, auto-PO generation per supplier.
Floor analytics
Table turn-times, server performance, heat-map seating, cover margin.
Relevant products
Which Maaya product fits your operation.
Restaurants run on RestoPi
The two places restaurants bleed money are aggregator reconciliation and stale recipe costs. RestoPi takes both off the weekly fight list — the P&L per brand per day is visible every morning, not mined after quarter close.
Is RestoPi the same as Asimot?
Yes — RestoPi is Asimot's new name, with a new AI layer. Existing customers were migrated at no licence change.
Ready when you are
Want to see Maaya configured for restaurant?
A sector-specific consultant will scope a demo around your real numbers. Thirty minutes, no commitment.