Quick Commerce · Dark Store

Dark-store inventory tracking at pincode and dark-store level

Quick commerce inventory lives in dark stores — and each one carries a different range. We track stock pincode by pincode, across Blinkit, Zepto and Instamart, so you see the real picture.

Pincode-level stock  ·  Multi-platform  ·  Hourly refresh
stock heatmap — Mumbai pincodes
Top 4 SKUs × pincodesBlinkit · live snapshot
400001400050400064400076400099 Amul Butter InInLowInOOS Maggi 70g InInInLowOOS Coke 750ml InOOSInInIn Britannia Bread LowInInOOSN/L
In stock Low stock Out of stock Not listed
🇩🇱Delhi NCR
Platforms: All three
Refresh: Hourly
Depth: Pincode
🇲🇭Mumbai
Platforms: All three
Refresh: Hourly
Depth: Pincode
🇰🇦Bengaluru
Platforms: All three
Refresh: Hourly
Depth: Pincode
🇮🇳Other metros
Platforms: All three
Refresh: Hourly
Depth: Pincode
The problem

City-level stock data lies to you.

Supply and channel teams trust city-level stock numbers — but the truth lives in dark stores:

01

City-level hides reality

A SKU shown "available in Mumbai" can be out of stock across half the city's pincodes.

02

Dark stores differ

Each dark store stocks its own range. One pincode may not even list a SKU another carries.

03

Lost sales by pincode

A stockout in a single high-volume pincode can lose more revenue than a small-city issue.

What you get

Stock visibility at the level it actually exists.

Pincode and dark-store-level inventory data across the major q-commerce platforms.

Pincode-level stock

In stock, low stock, out of stock or not listed — per product, per pincode.

Multi-platform coverage

Blinkit, Zepto and Instamart tracked together — one comparable feed.

Stock heatmaps

SKU × pincode views that make availability gaps visible at a glance.

Stockout alerts

Alerts when key SKUs go OOS in priority pincodes, so action can be fast.

How it works

From a city map to a dark-store-level feed.

STEP 01

Pick SKUs & pincodes

Share your priority SKUs and the pincodes and cities to monitor.

STEP 02

We track per pincode

We capture stock at pincode level across Blinkit, Zepto and Instamart.

STEP 03

Heatmap & alert

Data is structured as heatmaps and alerts for fast reading.

STEP 04

Deliver continuously

CSV, Excel, JSON or dashboard, refreshed hourly.

Use cases

What teams do with dark-store inventory data.

Stockout recovery

Catch and recover OOS in priority pincodes.

Replenishment triggers

Trigger faster restocks from pincode signals.

Coverage planning

Find pincodes that under-stock your range.

Launch tracking

Verify new launches reach the right dark stores.

Cross-platform parity

Spot pincodes where one platform stocks but another doesn't.

Sales attribution

Tie lost sales to specific pincode stockouts.

Why Product Data Scrape

Stock data captured the way q-commerce works.

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Pincode-first

The level where stock actually varies.

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Multi-platform

Blinkit, Zepto, Instamart in one comparable feed.

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Fast refresh

Hourly capture so stockouts don't go unnoticed.

Questions, answered

Dark store inventory FAQs

Dark store inventory tracking measures whether each of your products is in stock at the dark-store and pincode level on quick commerce platforms, rather than at a single city level.

Quick commerce inventory varies by dark store, so two pincodes in the same city can show very different stock states for the same SKU. City-level data hides this.

Blinkit, Zepto, Swiggy Instamart and other quick commerce platforms where the inventory is exposed by pincode.

Stock data is captured hourly by default, with near real-time options for the most fast-moving categories and platforms.

As CSV, Excel, JSON or a dashboard, broken down by product, pincode, platform and city, with stockout alerts.

Get a free sample dataset

See the exact fields, accuracy and format — for your products, on your target sites — before you spend a rupee or a dollar.

  • Sample delivered within 24 hours
  • Scoped to your real use case, not a generic demo
  • No obligation, no long contract

Tell us what you need

A specialist replies within one business day.