Cheapest now, per SKU
The lowest live price and the platform selling at it, with how far below or above your floor that is.
Platform Intelligence · India
Know the moment a shelf undercuts your floor
Your SKUs sit on six shelves at once: Zepto, Blinkit, Swiggy Instamart, BigBasket, Amazon.in and Flipkart. PriceIntel AI reads every listing in every pincode you sell in, flags each MOP violation with proof, and tells you who cut price first.
- Pincode-level prices
- MOP floor per SKU
- Proof of every read
6 shelvesZepto to Flipkart
Up to 10 pincodesPer SKU, per platform
MOP floorBreach clock per listing
Proof pageSaved for every read
The quick-commerce problem
Six shelves, every city, changing whenever they like
Each platform sets its own price, in each city, from its own dark store. A price that respects your floor in Mumbai can be ₹40 under it in Delhi the same morning.
By the time a distributor forwards a screenshot, it has been that way for days. Nobody knows which platform moved first, and the screenshot is not evidence anyone accepts.
The problem isn’t one low price. It’s not knowing where, since when, and who started it.
How it works
Tell us what to watch. We read every shelf. You act, with proof.
-
01
Tell us what to watch
Add your products with their link on each platform, the pincodes that matter and the MOP floor for each SKU. One product at a time, or a whole catalogue from a spreadsheet.
-
02
We read every shelf
On your schedule, every listing is read again the way a shopper in that pincode sees it: selling price, printed MRP, discount, stock and whether the pincode is served. Each read is kept as history, with a saved copy of the page.
-
03
You are told what changed
A breach of your floor, a price move, an item out of stock, a page that vanished. On the dashboard, in one digest email per read, and as a webhook to your own systems if you want it.
Price matrix
Every product against every platform, on one screen
Red cells are below your floor, with the gap. Green cells are the cheapest platform for that SKU. “to ₹705” means prices differ across pincodes and this is the lowest.
Screens from a demo account with a fictional brand. These are real product screens, not mock-ups.
Edit the floor in place
Admins click the MOP value in the table, type a new one and press Enter. Viewers see it but cannot change it.
Fresh or stale, always visible
Each row shows when its newest price was read. Anything older than one and a half times your schedule gap is marked stale.
MOP violations
Every breach, how deep, and for how long
A violation starts the first time we read a price below your floor and ends the first time it comes back to or above it. One violation can last hours or days, and this page keeps the clock.
Filter by product, platform or pincode. Sort by newest, deepest or longest running. Export the period’s violations as a spreadsheet, with the proof page for each one.
- Open, resolved and repeat offenders at a glance
- Latest price beside your MOP, gap in percent
- Proof link opens the saved page you send to the platform
Alerts and the digest
One email per read. Breaches first, deepest first.
After each read that found something, one digest arrives: new MOP violations, then price changes largest first, then removed pages and stock changes, with a spreadsheet of every alert attached so nothing is capped.
| Alert | When it happens | Optional? |
|---|---|---|
| MOP violation | A listing dropped below your floor | Always on |
| MOP resolved | That listing came back to or above the floor | Always on |
| Price change | A move of at least the minimum you set, for example 2% | Yes |
| Stock change | A listing went out of stock or came back | Yes |
| URL removed | A tracked page disappeared from the platform | Yes |
Who cut price first
Price leaders, followers and rebounds
Price moves on the same SKU within a few days form a wave. The first move is the leader; the rest are followers, each with its lag. The digest and the dashboard name them.
Leader
The platform that moved first. If the same cut appears on two platforms in one read, they are marked tied.
Follower
Platforms that matched the move later, with the lag in hours. Useful when the conversation is about who is driving the price down.
Rebound
A raise that only gives back part of a recent cut is labelled a rebound, so a partial recovery is not mistaken for a new price increase.
Platforms
The six shelves a brand in India has to watch
Quick-commerce platforms are read per pincode. Amazon.in and Flipkart show one nationwide price. You choose which platforms and pincodes to track per SKU.
Zepto
Selling price, MRP, discount, stock and serviceability per pincode, with MOP breaches and proof.
Zepto price monitoringBlinkit
Dark-store prices read city by city, with the same floor, clock and proof on every listing.
Blinkit price monitoringSwiggy Instamart
Reads pinned to the store serving each pincode, so the price is the one that shopper sees.
Instamart price monitoringBigBasket
Per-pincode prices and stock, including “not serviceable” when a store does not deliver that item.
BigBasket price monitoringAmazon.in
Nationwide price, MRP and stock, alongside the quick-commerce shelves in the same matrix.
Amazon.in price monitoringFlipkart
Nationwide price and availability, with MOP breaches and price moves tracked the same way.
Flipkart price monitoringWho it’s for
Built for brand, sales and category teams selling on quick commerce
FMCG and packaged foods
Hundreds of SKUs, every metro, promotions every week. Find the breach before the trade does.
Personal care and beauty
Keep the floor consistent across platforms that run their own discount calendars.
Electronics accessories
Compare Amazon.in and Flipkart against quick-commerce shelves for the same SKU, in one grid.
D2C brands
See what each platform does to your price positioning without a team of people refreshing apps.
Selling in the US or Europe as well? See competitor price monitoring, MAP & MSRP monitoring and eBay price intelligence.
Pricing
Priced per SKU, per pincode, per platform
You pay for what you choose to monitor: each SKU, on each platform, in each pincode, per month. The rate depends on how many reads a day you want, from once a day to six times a day. Prices are in INR.
Tell us your catalogue size, the pincodes that matter and the platforms you sell on, and we send a quote, usually within one business day.
Dashboard, price matrix, MOP violations Included
Pincodes per SKU per platform Up to 10
Reads per day 1 to 6
Digest email with spreadsheet Included
Proof page for every read Included
Exports, read-only API, webhooks Included
Admin and viewer seats Per plan
FAQ
MOP monitoring questions, answered
What a violation is, how pincodes work and how the data reaches your team.
MOP is the market operating price: the floor you set per SKU. MOP violation monitoring reads every listing of that SKU on each platform and pincode you sell in, opens a violation the first time a price is read below the floor, keeps the clock running, and closes it the first time the price comes back to or above the floor. Each violation carries a saved copy of the page it was read from.
Zepto, Blinkit, Swiggy Instamart, BigBasket, Amazon.in and Flipkart. Quick-commerce platforms are read per pincode, up to 10 pincodes per product per platform. Amazon.in and Flipkart show one nationwide price.
Quick-commerce prices are set per dark store, so the same SKU can sell at a different price in Delhi 110001, Mumbai 400001 and Bengaluru 560001. A single nationwide read misses breaches that only happen in one city. Platform Intelligence reads each pincode you choose and shows them side by side.
On your plan’s schedule. Most brands start with one to three reads a day; up to six reads a day are available. Admins can also refresh any product on demand.
In the app, on the dashboard and the bell; by email, as one digest per read with breaches first and a spreadsheet of every alert attached; and, if you want, as a signed webhook to your own systems. MOP violation and MOP resolved alerts are always on.
Every successful read saves a copy of the exact page the price was taken from. The Proof link on a violation opens that copy, so you can send the platform or the seller the evidence instead of a screenshot taken by hand.
Yes. Every page has an Export button, and Integrations gives your BI tool a read-only API key. Webhooks deliver alerts to your own endpoint as soon as a read finishes.
Per SKU, per pincode, per platform, per month, with the rate depending on how many reads a day you want. Tell us your catalogue size, the pincodes that matter and the platforms you sell on, and we send a quote, usually within one business day.
See it with your SKUs
Find out who is under your floor right now
Send us ten SKUs and the pincodes you care about. We set them up and walk you through the first read.