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About us
Market intelligence

Quick commerce, measured zone by zone.

Quick-commerce apps serve each neighbourhood from a nearby dark store, so price, range and delivery time change from one zone to the next. We collect app data from set delivery points across each city, giving you a zone-level view of range, availability, fees and delivery ETA.

How it works

Four steps from sources to signal.

STEP 01

Map dark-store zones

We place a grid of delivery points across each city and identify which dark store serves each point, building a zone map for every app.

STEP 02

Collect from the app at each point

For each zone we capture category listings, prices, discounts, availability, delivery fee, small-order fee and the promised delivery ETA.

STEP 03

Sample across the day

Collection runs at several time slots, including morning, lunchtime and evening peaks, so ETA and availability reflect real demand patterns.

STEP 04

Compare zones and apps

Results are aggregated by zone, city and app, showing coverage gaps, price variation and delivery performance side by side.

Data points

What we capture.

Every field is validated, normalised and documented in a data dictionary you can share with your analysts.

Dark-store zone

The zone and serving store inferred from the delivery point.

Promised delivery ETA

Minutes promised to the shopper at the time of capture.

Delivery and service fees

Delivery fee, small-order fee and free-delivery threshold.

Zone-level price

Item price and discount in that zone.

Zone-level availability

Whether each SKU is available from that dark store.

Home and category placement

Position of products and brands on app home and category screens.

Deliverables

What you receive.

  • Zone-level availability map by city and app
  • Delivery ETA report by zone and time slot
  • Price and fee variation across zones
  • Alert when a priority SKU disappears from a zone
  • Monthly competitor range and placement report per app
Built for
Quick-commerce and new channels
Key account management
Supply chain and field sales
Strategy and investment
Sample output

An illustrative extract.

Quick-commerce captures, evening slot, 22 January 2026
CityZoneAppProductPriceAvailableDelivery ETA
DubaiJLTQ-comm App AGreek yoghurt 500gAED 14.50Yes15 min
RiyadhAl OlayaQ-comm App BGreek yoghurt 500gSAR 15.25No25 min
JakartaKebayoran BaruQ-comm App CUHT milk 1LIDR 21,900Yes20 min
Kuala LumpurBangsarQ-comm App DUHT milk 1LMYR 7.90Yes18 min
Mexico CityRoma NorteQ-comm App ESparkling water 1.5LMXN 24.00Yes12 min

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

FAQ

Questions about quick-commerce intelligence

Can’t find your answer? Ask an engineer

How do you determine dark-store zones?

We set delivery points on a grid across the city and observe which assortment and ETA each point receives. Points that return the same store characteristics are grouped into a zone.

Is data collected from the app or the website?

Mostly from the mobile app, since many quick-commerce services are app-first. We collect only what a standard user sees and never place orders.

Which cities can you cover?

We cover quick-commerce markets across the GCC, Southeast Asia, Australia, Europe and Latin America. Cities and apps are agreed per project.

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