A snack-stall owner suspects Fridays are his best day but is not sure about the rest of the week. Kadaikodi counts it from his own orders: takings, number of orders, his best and worst sellers, his busiest hours and his rating.
Each week the AI turns that into a short insight he can listen to: which items are slow, which hour to be at the bus stand, whether the new menu item is earning its place. Every figure comes from what actually happened — if he took four orders, it says four.
When he wants deeper analytics or to compare carts, the same data opens in BigConsole without exporting anything.
This is an illustrative scenario, not a customer story.
Illustrative workflow outline
Run the business on data — revenue, orders, performance metrics, and customers — across any time range, then export it.
This outline is not proof that a workflow completed. Actual availability and outcomes depend on your role, workspace configuration, and the service at the time you use it.
From the dashboard, open Analytics.
You should see: The Analytics Dashboard opens with your revenue overview.
Ready to make this your story?
