An AI that guesses is dangerous when it touches a shop’s money. Kadaikodi’s AI starts from the business’s own records: orders, stock, bookings, the daybook. When it answers a question or writes a summary, the numbers come from those records.
If the record is thin — a new shop, a quiet week — it says so instead of filling the gap. Personal data is kept to a minimum in what the AI is sent, and every answer respects the asker’s permissions.
This is an illustrative scenario, not a customer story.
Illustrative workflow outline
Walk the analytics the Kadaikodi AI is designed to reason over — your own revenue, sellers, categories, peak hours and marketplace-wide trends, every figure computed from real records.
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 merchant console open Analytics and choose a period — Today, This Week, This Month, or This Year.
You should see: Your revenue overview and order statistics recalculate for that window, with real period-over-period growth.
Ready to make this your story?
