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Quick commerce & FMCG data — built for FMCG brand teams
FMCG isn't generic e-commerce. Pincode-level pricing, hourly q-comm reprice, distributor leakage, member-tier MAP violations, festive-spike OOS. The data needs that shape from day one — not after months of dashboard tuning.
The same data that works for electronics fails for FMCG.
FMCG runs at granularity and speed most "e-commerce analytics" tools weren't built for. Three reasons:
Pincode is the unit, not city
The same SKU is priced differently in two pincodes 4 km apart. City averages hide the entire problem.
Q-commerce reprices hourly
Zepto reprices intra-day. Daily snapshots miss the actual competitive dynamics. You need hourly or you need nothing.
Member tiers hide MAP violations
Super Saver, Insider, member-only prices break MAP quietly. Base-price-only MAP audits miss the entire category.
FMCG-shaped data, not generic e-commerce data.
The fields and granularity FMCG brand teams actually need to do their job.
Pincode-level pricing
Per-pincode current price, MRP, discount %, member-tier price across every monitored platform.
Stock & OOS by pincode
Real-time stockout detection, restock cycles, OOS duration tracking per SKU per pincode.
MAP & member-tier audit
MAP violations on base + Super Saver / Insider / Plus tier prices, with full evidence trail.
Promos & deals
Flash deals, combo offers, app-only prices captured with start/end timestamps.
Dark store mapping
Pincode-to-dark-store mapping — coverage shifts when zones get re-cut.
Category share
Position on category browse, sponsored slot share, BSR trends over time.
Cross-channel parity
Same SKU pricing across q-comm, Amazon Fresh, BigBasket, Flipkart Grocery in one feed.
New launches
New SKUs added to platform catalogue, with first-seen timestamps.
Reviews & ratings
Ratings velocity, review counts, sentiment shifts on hero SKUs.
Different FMCG roles, different shapes of the same data.
Category managers
You need pincode-level visibility on your category, competitor moves and category trends.
- Competitor pricing — daily/hourly per pincode
- Category share — your slice of category vs competitors
- New launches — what's hitting shelf and when
Trade marketing leads
You need to see whether your trade-marketing plan is actually reaching shelf prices.
- Distributor leakage — promos appearing unplanned
- Pricing harmonisation — outlier pincodes flagged
- Promo cycle audits — what ran where, when
Brand & compliance teams
You need MAP violations caught fast, with evidence, and member-tier audits done right.
- MAP enforcement — including member-tier prices
- Unauthorised seller detection — cross-platform
- Counterfeit / look-alike scans — image-based
Supply & operations
You need real-time OOS signals so lost-sale recovery can actually happen.
- Pincode-level OOS alerts — 30–60 min detection
- Restock cycle tracking — identify slow distributors
- Demand signal — OOS frequency by SKU/region
What FMCG teams do with this data.
Pincode pricing audit
How does your SKU price vary across pincodes? Intentional or accidental?
MAP enforcement on q-comm
Catch MAP violations on base + member-tier prices with full evidence.
Distributor accountability
Trace local promos back to distributors operating off-plan.
Festive sale planning
Historical festive pricing & promo cycles to plan upcoming events.
OOS & lost-sale recovery
Real-time stockout signals to supply ops — before competitor captures share.
Channel parity
Q-comm vs Amazon Fresh vs BigBasket vs Flipkart parity audits.
New launch tracking
Catch competitor launches the moment they hit catalogue.
Trade marketing audit
Are local promos and price drops aligned with the trade plan?
Demand signal modelling
OOS + restock cycle data as a leading demand indicator.
Whatever format your team consumes.
No forced dashboard, no proprietary lock-in. You own the data.
CSV / Excel
Scheduled file drops to email, SFTP, S3 or Azure.
JSON / API
REST API with auth tokens, paginated by SKU or pincode.
Database / warehouse
Direct push to Snowflake, BigQuery, Redshift or your data lake.
Hosted dashboard
Optional dashboard if you want a no-tech-needed view.
From brief to first FMCG dataset in 24 hours.
Send scope
SKU list, pincodes (or whole cities), platforms, refresh frequency, MAP thresholds.
Free sample
Within 24 hours, sample with pincode-level depth and member-tier pricing for validation.
Production pipeline
QA'd pipeline, MAP alerts wired to Slack/email, first full run shipped.
Run & iterate
Hourly refreshes with monitoring, festive-window cadence ramp, named delivery lead.
Q-comm & FMCG FAQs
FMCG brand teams (category, e-commerce, trade marketing, pricing), regional distributors and FMCG retail analysts — anyone whose category lives on Blinkit, Zepto, Instamart or traditional e-commerce grocery.
FMCG runs at pincode level, not city level. Prices change hourly on quick commerce. Distributor-led promos quietly fragment your brand pricing. Stockouts cost real revenue in 10-minute apps. We model these dynamics rather than treating FMCG as generic e-commerce.
Quick commerce: Blinkit, Zepto, Swiggy Instamart (India), Gopuff (US), Getir & Whoosh (UK), Flink (EU). Traditional e-commerce grocery: Amazon Fresh, BigBasket, Tesco, ASDA, Walmart Grocery, Kroger, Woolworths, Coles.
MAP violations on q-commerce are tagged with platform, pincode, timestamp and offending price — ready for distributor accountability or platform escalation. Member-tier prices (Super Saver, etc.) are tracked separately so silent violations are caught.
Quick commerce captured hourly (sub-hourly available for hero SKUs). Traditional e-commerce daily. During festive sale events, capture cadence ramps up automatically.