The three numbers a
shopkeeper actually reads.
Analytics that answer the questions the shopkeeper already asks aloud at the counter, in the tone in which they are asked. Nothing more.
Ranked by orders and repeats, not just revenue - so a Rs 10 biscuit can outrank a Rs 500 rice bag.
A quiet list of the buyers who found you, ordered again, and are likely to order once more.
How your delivery radius holds up in practice - which distances are still profitable, which are not.
Analytics that avoid the vanity trap
Every number in the panel has a decision attached to it. Nothing is present just to look impressive - if a metric never changes what a shopkeeper does, it does not belong.
The list is weighted by repeat orders, not one-time spikes, so a genuinely trusted item rises to the top.
Searches inside your radius that failed - either you did not stock it, or you were out of stock. A quiet buying list.
How often orders convert at 0.5, 1, 2, 3 km. Where your reach starts to lose money is visible without a spreadsheet.
The list of buyers who returned in the last thirty days, and how their basket has grown.
A single readable summary at close of business - orders, payments settled, deliveries fulfilled.
Buyers inside your 2 km radius searched for two products you do not stock, and one you were briefly out of. That is your buying list for tomorrow morning.
Failed nearby searches are grouped by product name.
Aggregated by frequency - the two most-searched items rise to the top.
A one-tap add-to-intake action pushes them onto tomorrow morning's stock list.
Tell us what kind of shop you run.
Watch the storefront appear.
Pick a shop type. We rebuild a shelf, generate listings, and draw a realistic delivery radius - all in the same moment. This is exactly how your own store comes online.