Case studies/YallaPlus

F&B

YallaPlus

Simple, effective restaurant reservation and waitlist automation. Staff adopted it without training.

ClientYallaPlus
IndustryF&B
Duration4 months
Year2023

The challenge

Restaurant reservation and waitlist management is deceptively complex. Walk-ins compete with reservations, no-shows waste tables, overbooking causes chaos, underbooking leaves money on the table. Most restaurants run this on a notebook and a phone. The ones with software have clunky systems that create more problems than they solve.

What we built

1

Intelligent reservation system

Smart table allocation based on party size, time slots, historical patterns, and capacity. Not just booking, but booking that maximizes revenue per table per night.

2

Dynamic waitlist automation

Wait-time estimation from current table status, average dining duration, and upcoming reservations. Customers get accurate estimates, staff get automatic ready-to-seat notifications.

3

No-show prevention and table optimization

Pattern-based detection of likely no-shows. Automated overbooking buffers so restaurants do not lose revenue to empty tables.

ROI

Results

Fullyautomated reservation management
Real-timewaitlist estimates
Optimizedtable utilization
Zerostaff training required

Outcome

The genius of the system was not its complexity, it was its simplicity. Staff adopted it immediately. Underneath, the intelligent automation was life-changing for the restaurants: better table utilization, fewer no-show losses, happier customers, staff freed from managing reservations by hand. Simple on the outside, powerful on the inside.

Technologies

PythonFull-stack developmentIntelligent schedulingReal-time automationREST APIs

See more work, or start yours.

All case studies, or tell us what you want automated.