Selling price and MRP
The live price, the printed maximum retail price and the discount the platform is showing against it.
Flipkart price monitoring
Flipkart shows one price for the whole country. PriceIntel AI reads your Flipkart listings on the same schedule as Amazon.in, Zepto, Blinkit, Instamart and BigBasket, compares each read with your MOP floor, and shows all six in one grid with proof for every read.

Selling priceAnd printed MRP
StockIn, out, not serviceable
NationwideOne listing per SKU
MOP floorBreach opened and closed
Nationwide, next to quick commerce
When a Flipkart price drops under your floor, the useful questions are how long it has been there, whether Amazon.in matched it, and whether the quick-commerce shelves followed in the cities that matter. Checking six apps by hand answers none of them.
Platform Intelligence puts the Flipkart price in the nationwide row of the same grid as the pincode-level shelves, opens a violation the first time a read is under your MOP, and records every price move so the digest can name the leader and the followers.

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 or out of stock at each read, kept as history so a listing that keeps vanishing shows up as a pattern.
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 Flipkart
Each Flipkart read is compared with the floor you set for that SKU. The first read below it opens a violation with the price and the time; the first read back at or above it closes the violation. Because Flipkart is one listing per SKU, a breach there is visible to every shopper in the country, and the clock on this page tells you how long that lasted.
How it works
01
Paste the Flipkart product link 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 Flipkart
Most brands track the same products on every platform they sell on, so the price matrix shows Flipkart next to the rest.
Amazon.in
The other nationwide shelf, tracked the same way.
Amazon.in price monitoringBlinkit
Dark-store prices read city by city, same floor, same clock, same proof.
Blinkit 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.