Brand managers
The dashboard answers “is anyone under my floor right now?” before you scroll: how many listings, on which platforms, how deep, since when.
For FMCG & D2C brands in India
Price intelligence for brands selling on quick commerce in India
Your SKUs are on Zepto, Blinkit, Swiggy Instamart, BigBasket, Amazon.in and Flipkart, priced by each platform, in each city, whenever they like. PriceIntel AI reads every listing by pincode, flags each MOP breach with proof, and sends one digest a day your key account team can act on.
- Six platforms, one grid
- MOP breaches with a clock and proof
- INR, quoted per catalogue
Brand managersDashboard and digest
Key account managersExports and proof for reviews
Category & trade marketingMatrix and gap analysis
BI & ITRead-only API and webhooks
The problem
The breach is found by a distributor, days late, with a screenshot
Quick-commerce platforms price from dark stores, so a SKU can respect your floor in Mumbai and sit ₹40 under it in Delhi the same morning. Nobody on the brand side is refreshing six apps in ten cities before 9am.
When a distributor finally forwards a screenshot, the breach has run for days, the trade has already asked for a matching price, and the platform’s category manager wants evidence, not a photo of a phone.
Your floor is only a floor if someone is checking every shelf against it.
A morning with PriceIntel
What a normal day looks like for a brand manager
09:00
The scheduled read runs
Every listing of every product is checked: for a 100-SKU catalogue on six platforms in four cities, that is over a thousand listings. Each read keeps its price, MRP, stock and a saved copy of the page.
09:12
The digest lands
One email: new MOP violations first, deepest first, then price changes, then stock changes and removed pages. A spreadsheet of every alert is attached, so nothing is capped.
09:40
Take it to the platform
Export the week’s violations with their proof links and send them to the category manager. When the evening read finds the price corrected, the breach is marked resolved in the next digest.
Team by team
One account, four ways to use it
Key account managers
Open and resolved violations per platform, repeat offenders, and a Proof link on each row. Export the period and attach it to the review.
Category & trade marketing
The price matrix shows the cheapest platform per SKU and the cross-platform gaps, so a promotion on one shelf is visible the morning it starts.
Finance and BI
Every page exports. A read-only API key feeds Power BI or Tableau; webhooks deliver alerts to your own systems as each read finishes.
Price matrix
Your catalogue against every platform, on one screen
Red cells are below your floor, with the gap. Green cells are the cheapest platform for that SKU. Click a row to see the SKU by pincode, with its history and every listing.
Screens from a demo account with a fictional brand. These are real product screens, not mock-ups.
Platforms
Every shelf your SKUs are on
Zepto
Per pincode, dark-store prices.
ZeptoBlinkit
Per pincode, dark-store prices.
BlinkitSwiggy Instamart
Reads pinned to the serving store.
InstamartBigBasket
Per pincode, with serviceability.
BigBasketAmazon.in
One nationwide price in the same grid.
Amazon.inFlipkart
One nationwide price in the same grid.
FlipkartPricing
Priced per SKU, per pincode, per platform, in INR
You pay for what you monitor. The rate depends on how many reads a day you want, from once a day to six times a day. Add, edit or remove SKUs and pincodes from your own account at any time.
Send us your catalogue size, the pincodes that matter and the platforms you sell on, and we reply with a quote within one business day.
Dashboard, price matrix, MOP violations Included
Digest email with spreadsheet Included
Proof page for every read Included
Self-service SKU and pincode changes Included
Exports, read-only API, webhooks Included
Email support Within 1 business day
FAQ
Questions brands ask before they start
Brands that sell their own SKUs on Indian quick-commerce and marketplace platforms and want to know when a shelf prices below the floor they set: packaged foods and FMCG, personal care and beauty, electronics accessories, and D2C brands that have moved onto Zepto, Blinkit and Instamart.
No. Admins add products from a form or upload a CSV with one row per SKU: name, SKU, MOP, the pincodes to watch and the product link on each platform. The first read fills in the rest. Integrations exist for your BI team, but nothing depends on them.
As many SKUs as your plan covers, with up to 10 pincodes per SKU per platform. Most brands start with their top 50 to 100 SKUs in the metros that matter and extend from there.
Brand managers watch the dashboard and the digest. Key account managers take the violation export and the proof pages into platform reviews. Category and trade marketing use the price matrix and the cross-platform gap view. Viewers see everything and export; only admins change floors and settings.
It tracks your own SKUs against your own MOP across the platforms you sell on, which is what platform reviews and distributor disputes need. Tracking rivals’ products on marketplaces is a separate product: see competitor price monitoring.
Per SKU, per pincode, per platform, per month, in INR, with the rate depending on how many reads a day you want. Tell us your catalogue, pincodes and platforms and we send a quote, usually within one business day.
See it with your SKUs
Find out who is under your floor this week
Send us ten SKUs and the pincodes you care about. We set them up and walk you through the first read.