Selling price and MRP
The live price, the printed maximum retail price and the discount the platform is showing against it.
BigBasket price monitoring
BigBasket picks the store for each pincode, and that store decides the price, the discount and whether the item can be delivered there at all. PriceIntel AI reads every BigBasket listing you track in every pincode you choose, compares it with your MOP floor, and keeps a saved copy of the page as proof.

Selling priceAnd printed MRP
StockIn, out, not serviceable
PincodeUp to 10 per SKU
MOP floorBreach opened and closed
Why pincode-level
On BigBasket, a pincode can show your SKU at the right price, below your floor, out of stock, or not serviceable because the local store does not carry it. A manual check tends to lump the last three together, and a brand that does misses both the breach and the distribution gap.
Platform Intelligence keeps the four states apart on every read, lays the pincodes out in one grid for the SKU with red cells below your MOP, and shows the share of listings in stock on the dashboard so a distribution problem is visible as early as a pricing one.

Screens from a demo account with a fictional brand. These are real product screens, not mock-ups.
What we read
The live price, the printed maximum retail price and the discount the platform is showing against it.
In stock, out of stock, or not serviceable when the store for that pincode does not deliver the item. Those are different signals and are kept apart.
Each read is compared with the MOP you set. Below the floor opens a violation; back above it closes one. The clock runs in between.
A saved copy of the exact page the price came from, linked from the listing, the violation and the export.

MOP violations on BigBasket
Each BigBasket listing is compared with the floor you set for that SKU. The first read below it opens a violation with the price, the pincode and the time; the first read back at or above it closes the violation. The list keeps the clock running and names the repeat offenders, so the conversation with the platform starts from how deep and how long, not from a screenshot.
How it works
01
Paste the product link, type the pincodes to watch and set the floor. Or upload a CSV with one row per SKU; existing products are found by SKU and extended, never duplicated.
02
Typically twice a day, up to six times a day. Admins can refresh one product on demand. Scrape health shows the success rate of every pass against a 90% target.
03
One email per read, breaches first, with a spreadsheet attached. Or pull the data into Power BI with a read-only key, or receive signed webhooks.
Beyond BigBasket
Most brands track the same products on every platform they sell on, so the price matrix shows BigBasket next to the rest.
Zepto
Dark-store prices read per pincode, same floor, same clock, same proof.
Zepto price monitoringSwiggy Instamart
Reads pinned to the store serving each pincode.
Instamart price monitoringAll six platforms
One price matrix across Zepto, Blinkit, Instamart, BigBasket, Amazon.in and Flipkart, with MOP violations and the digest across all of them.
Platform Intelligence overviewFAQ
See it with your SKUs
Send us ten SKUs and the pincodes you care about. We set them up and walk you through the first read.