Analytics and Business Intelligence
Sales, products, stock, customers, staff productivity, cash variance — all live in one board. Multi-period, branch comparison, drill-down filters. The owner's weekly "pull the reports" chore goes to zero.
What it does
Decisions sit on data. "Which product earned the most this week", "why were we empty at 2pm on Tuesday", "which server brings the highest average ticket" — answered with numbers. ML-based demand forecasting suggests next week's order from history.
Highlighted capabilities
Sales dashboard
Live revenue, order count, average ticket, channel breakdown — your first screen of the morning.
Product analytics
Top sellers, margin, period-over-period change, menu mix — what goes on the cover, what comes off.
Stock analytics
Consumption rate, waste rate, turn rate, critical levels — you don't wait for count day.
Demand forecast
ML-based forecast from history — "how many kilos of meat for next Friday" answered numerically.
Customer analytics
Loyalty tier, churn risk, segment performance — which guest is worth winning back.
User / device
Which device, where from, session length, geographic distribution.
Frequently asked
How fresh is the analytics data?
KPI dashboards are streamed live from the POS; reporting drill-downs aggregate within seconds of a sale closing.
Does SterkChef forecast sales?
Yes. A per-branch ML model projects covers and revenue by daypart, used for stock pre-orders and shift planning.