QwikPass
Plan-based historyRestaurant analytics software

Understand restaurant sales, demand and service from recorded operating data.

QwikPass turns paid orders, item quantities, queue events and preparation milestones into Outlet and Organization aggregates. Available history expands by plan, and forecasts remain labelled estimates rather than promised outcomes.

Operational reporting

Answer practical questions from the same records staff creates during service.

Analytics includes only activity recorded in QwikPass. Cash, UPI, card and online orders contribute after the restaurant records or verifies the paid outcome.

Sales and paid orders

Review received totals, order count, average bill, payment mix, invoice outcome and counter-versus-online share.

Items by day and time

See which menu items sold most on each day and time band, with quantity and revenue grounded in recorded order lines.

Queue and service timing

Compare join-to-call, call-to-arrival, counter handling, preparation, missed turns and collection activity where enough events exist.

Outlet comparison

Authorized Organization users can compare separately licensed Outlets without giving every Outlet staff member wider financial access.

Forecasts and AI briefings

Calculated aggregates in; operational explanation out.

Capacity forecasts use matching historical demand and show confidence. The AI briefing receives only calculated Organization aggregates—not customer identities, invoice links or payment credentials—and cannot change restaurant operations.

  • Today and 7-day reporting on Flex
  • 30-day history and capacity forecast on Growth
  • 90-day, multi-Outlet and AI briefing on Pro
  • Insufficient-data states instead of invented results

Improve the operating record

Consistent queue, billing and preparation updates make the restaurant operations report more useful.

Respect access boundaries

Financial totals and advanced analytics require explicit permissions. Review the security and access model.

Choose the reporting depth the restaurant will actually use.

Start with recorded operational facts, then use longer history, forecasts and aggregate-only AI briefings on the plan that supports them.

Compare plans Review multi-Outlet management