A client needing proof when its products sell below MOP on quick commerce apps.

Use Case

MOP / Price Compliance Monitoring

Region

India – city and pincode level

Sources

Blinkit • Zepto • Swiggy Instamart

Number of sources

Below-MOP Flags

SKU by SKU

Screenshot Evidence

Timestamped

Per-Portal Thresholds

Matched

Contact Sales

Key Takeaways

Actowiz Solutions built MOP monitoring for quick commerce for an Indian D2C consumer-care brand. We track the brand's own SKUs on Blinkit, Zepto and Swiggy Instamart, compare each live selling price with that SKU's MOP for that portal, and deliver an Excel report that lists every below-MOP listing with a timestamped screenshot as evidence.

What did the client need?

The brand sells on India's leading quick commerce apps and sets a minimum operating price (MOP) for every product, which can differ by portal. It needed to know, with proof, when a listing dropped below that floor.

The client shared one MOP sheet per portal. The ask: check its SKUs on a schedule, flag every price below MOP, and attach a screenshot the commercial team can use as evidence.

What made this hard?

Prices change by pincode. Apps price from the nearest dark store, so one SKU can cost differently across a city.
Three apps, three layouts. Each app structures pages, pack sizes and offer labels differently.
SKU matching. Listings must match the brand's master list across variants and pack sizes; a wrong match means a false alert.
A threshold for every SKU on every portal. Each product's MOP can differ between apps.
Proof, not just numbers. Each flag needs a timestamped screenshot of the live listing.
Who funded the discount. A low price may come from a platform offer or a seller, which changes who to contact.

How did Actowiz solve it?

We built one compliance pipeline that collects, matches, compares and documents each listing.

Approach

Location-set collection. Prices are captured from chosen delivery locations, as shoppers there see them.
Portal-specific parsers. Separate extractors read selling price, MRP, discount label and pack size on each app.
SKU mapping to the master list. Listings are mapped to the brand's SKU codes by name, variant and pack size; unclear matches get manual review.
Per-portal MOP check. The live price is compared with that portal's MOP and the gap calculated.
Screenshot evidence. Every below-MOP listing is captured with date and time and linked to its report row.
Excel delivery. An Excel workbook filterable by portal, location and SKU.

Data Attributes / Fields

Field	Description
portal	Blinkit, Zepto or Swiggy Instamart
city / pincode	Delivery location used for the check
brand_sku_code	SKU code from the client's master list
product_name	Product title as shown on the app
pack_size	Variant and quantity, used for matching
mrp	Maximum retail price shown on the listing
selling_price	Price the shopper pays at the time of the check
mop_threshold	Client-supplied MOP for that SKU on that portal
gap_to_mop	Difference between selling price and MOP, in rupees and %
screenshot_url / captured_at	Link to the evidence image and its timestamp

What were the results?

One view of compliance. All below-MOP listings across three apps in one report, not manual app checks.
Evidence ready to share. Each flag carries a timestamped screenshot.
Faster follow-up. Filters show where breaches cluster.
Cleaner SKU data. Mapping surfaces listings that do not match the master list.

Project at a Glance

Metric	Value
Use Case	MOP / price compliance monitoring for own SKUs
Region	India – selected cities and pincodes
Sources	Blinkit, Zepto, Swiggy Instamart
Metrics	Selling price, MRP, discount, gap to MOP, evidence screenshot
Reconciliation / Method	Listings mapped to the brand master list by name, variant and pack size; checked against per-portal MOP sheets
Cadence	Scheduled checks (agreed per project)
Output	Excel report with screenshot links for each below-MOP listing

Client Feedback

“We needed proof, not just numbers — when our products sell below MOP, we need to show the listing as a shopper saw it. Actowiz gives us one report with every below-MOP flag and a timestamped screenshot attached.”

— E-commerce Lead, D2C Consumer-Care Brand

Frequently Asked Questions

Q: What is the difference between MOP, MRP and MAP?

A: MRP is the legal ceiling: India's Legal Metrology (Packaged Commodities) Rules, 2011, Rule 2(m), define retail sale price as the maximum price at which a packaged commodity may be sold to the consumer. MOP is a floor the brand sets for selling price. MAP is a floor on the advertised price, a term common in the US.

Q: Why do brands track MOP on quick commerce apps?

A: Deep discounts on one channel upset others. In 2025, India's distributor federation AICPDF asked FMCG companies for uniform MOP across channels.

Q: Why are screenshots needed as well as prices?

A: A timestamped screenshot shows the listing as a shopper saw it, which makes a flag easy to verify and discuss.

Q: Is this kind of price monitoring legal?

A: We collect only public product and price data, respect site terms, never bypass logins and collect no personal data. This is not legal advice.

Need MOP monitoring on quick commerce?

Share your SKU list and MOP sheets for a free sample report. Visit actowizsolutions.com to discuss your data requirement.

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