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Retail and consumer

Quick commerce, measured neighbourhood by neighbourhood.

In quick commerce the shelf is a dark store serving a few square kilometres, and prices, stock and delivery fees change by the hour. We capture app data by delivery zone so you can see what shoppers in each neighbourhood are offered, not a national average.

Business challenges

What makes this industry hard to track.

01

App-only catalogues

Many quick-commerce players have little or no website. Data has to come from the mobile app, which needs a different capture approach from web pages.

02

Zone-level variation

Each dark store holds its own range and stock. Prices and availability for the same item can differ between two districts of the same city.

03

Time-of-day effects

Delivery fees, surge charges and stock-outs shift across the day. A single daily snapshot misses the evening peak where most of the competition happens.

04

Fast-moving promotions

Flash deals and app-only bundles can last a few hours. They need to be captured with start and end times to be useful.

What you can track

Eight data points our clients rely on.

Item price by zone

Selling price per product for each delivery zone or pin location.

Availability by dark store

Whether each item can be ordered from the store serving that zone.

Delivery fee and minimum order

Fees, small-basket charges and free-delivery thresholds by zone and time.

Quoted delivery time

The ETA shown to the shopper at the moment of capture.

Surge and peak charges

Temporary fees applied during busy periods or bad weather.

Flash deals and bundles

App-only offers with their mechanic and observed start and end times.

Range size per zone

Number of live products per category in each dark-store catchment.

Service coverage

Which neighbourhoods are served, and when the service is paused.

Sample dataset

An illustrative extract.

Illustrative evening capture from regional quick-commerce apps, by delivery zone
Captured atSourceCity / zoneProductPriceCurrencyAvailableETA (min)
2026-04-02 19:30Q-comm App ADoha / West BayFull-fat milk 2L13.50QARYes15
2026-04-02 19:30Q-comm App BJakarta / KemangInstant noodles 5-pack15900IDRYes20
2026-04-02 19:35Q-comm App CMexico City / Roma NorteBottled water 6 x 1.5L89.00MXNNo-
2026-04-02 19:40Q-comm App DChicago / Lincoln ParkGreek yoghurt 500g5.49USDYes18
2026-04-02 19:45Q-comm App EAmsterdam / De PijpFree-range eggs 104.29EURYes12

Illustrative rows. Sources, markets and fields are agreed with you during scoping.

Use cases

How teams put it to work.

Zone price map

A view of basket prices by district for your city set, showing where competitors price more aggressively and where they hold margin.

Peak-hour availability

Evening and weekend captures that show stock-outs on high-velocity lines by dark store, useful for supply and range planning.

Fee and threshold tracking

A running record of delivery fees, minimum orders and surge charges, so you can position your own fee structure with evidence.

FAQ

Questions about quick commerce data

Can’t find your answer? Ask an engineer

Can you collect data from apps that have no website?

Yes. Mobile app extraction is a core service for us, and quick commerce is one of the main reasons for it. We capture the same fields a shopper sees in the app, for the locations you specify.

How granular can the location be?

We usually work at delivery zone or neighbourhood level by setting a pin or address for each point. You choose the set of locations, and we can add more as your coverage grows.

How often can you capture during the day?

Captures can run at set times, for example morning, lunch and evening peak, or on a rolling interval such as every 15–60 minutes for priority items. We agree the schedule with you based on the decisions the data supports.

Which markets do you cover?

We cover quick-commerce apps in the Middle East and GCC, Asia-Pacific, North America, Latin America and Europe and the UK. The free sample in 24–48 hours is the easiest way to confirm coverage for your cities.

Start with proof

See your own data before you commit.

Name the sources and fields you need. Within 24–48 hours you receive a real sample from your target sites, in your format, free of charge.

Request a free sample Talk to a data engineer Sample in 24–48 hours · NDA on request · Any format, any schedule