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Sena shows what each delivery zone wants

Sena Decision AI shows q-commerce teams where to place dark stores, what to stock, and why shoppers order. Every figure traces to a shopper answer, a store photo, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample quick commerce
Top items ordered for fast delivery
Drinks
Ordered fast by 46% in zone
Shelf price at the nearby store
+6%
Above nearby store on 14 items
Delivery points to fix
41
Gate, lift or parking delays
Monthly order value at those points
76,260
Order value at 41 points
every figure opens a dated door photo or shopper answer
WHAT DRIVES THE ORDER

Every delivery zone orders differently

Quick commerce, also called q-commerce, delivers groceries and everyday items fast from a nearby dark store. Order data shows what each zone bought, and the stores, prices, and doors around each address shape what it orders next.

Dark store ranges follow a citywide list

Order data shows what sold from each site. Shoppers in each zone know which items they order fast and which they still buy in store.

Sena:Sena captures which items shoppers order for fast delivery and which they buy in a nearby store, by segment and market.

Nearby stores set the price bar

The price file sets the app price for each item. Shoppers compare it with the grocery and convenience stores near them.

Sena:Sena reads the price tag in photos from the stores near each site and sets it beside the team's price file.

The delivery promise breaks at the door

Order data shows which deliveries ran past the promised time. In a short delivery window, a locked gate, a slow lift, or a hidden entrance can use up the minutes.

Sena:Sena photographs the gate, entrance, and rider parking at the delivery points in each zone the team names.

The decisions

Four dark store decisions

Q-commerce runs on these four decisions, and Sena adds the shopper and the street to each.

Decision 01

Place the next dark store where demand runs deepest

Sena captures geo-verified photos of the grocery and convenience stores around each candidate zone, and shoppers state what they order fast and what they buy in store.

Decides:Which zone gets the next site.

See strategy decisions →
Decision 02

Stock each site for its own zone

Shoppers state which items they order fast, which they buy in store, and what they swap when an item runs out, by segment and market.

Decides:Which items each site carries and which it drops.

See category decisions →
Decision 03

Price the basket against the store nearby

Sena reads shelf prices in the stores around each site and sets them beside the app's price files.

Decides:Where to match the nearby store and where to hold price.

See revenue and pricing decisions →
Decision 04

Keep the delivery promise in every zone

Dated photos show the gate, entrance, and parking at the delivery points a team names in each zone, so the team sees which buildings eat into the promised time on the last mile delivery.

Decides:Which zones keep the short promise, and which get a wider window or new rider instructions.

See supply chain decisions →
HOW A TEAM CHECKS EACH ZONE

Each zone figure traces to its capture

Sena ties every figure to the photo or answer behind it, so a team checks each zone against its own order data.

A geo-verified photo per store and door

Each price and access reading carries its photo, location, and date.

Zone shoppers, checked first

Each ordering reason comes from a shopper in that zone who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.

DELIVERY PROMISE GAP

Count the points that slow riders down

Quick commerce delivery inside the promised time starts with two counts: the delivery points in a zone and the points where a dated photo shows a clear way in for the rider. The gap splits by building type and by what slows the handover.

  • Gated estates, apartment towers, and offices counted separately
  • Each delay named: gate rules, lift access, rider parking, or a hidden entrance
  • Late-order value at stake, priced from the team's own order value per point
Delivery promise gap calculatorExample figures
ClearBlocked
Points with access issues
41
Monthly order value at those points
76,260

The delivery promise calculator shows the points that slow riders and the monthly order value that runs through them.

A walkthrough on one delivery zone

A walkthrough runs Sena on one delivery zone in one market, from shopper answer to the site decision.

By team

Which team owns the zone question?

Pick the closest fit, and the walkthrough starts from that team's question.

How it works

How Sena answers a market question

Step 01 · Capture

Capture

Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.

Step 02 · Read

Read

Sena reads those captures beside the files and systems already in use, across 250+ integrations.

Step 03 · Compare

Compare

Sena compares the market against the plan and shows each gap, with every figure traced to its source.

TWO WAYS TO READ A ZONE

What photos add to order data

AreaCommon methodSena
Zone demandOrder history by zoneShoppers state what they order fast and what they buy in store
Dark store rangeOne list across the cityEach site's range matched to its zone
PriceThe app's price fileShelf prices in the stores nearby
Failed ordersRider failure codes on last mile deliveryA dated photo of the access at each named point
AuditingOrder, delivery, and price files matched by handEach zone figure carries its photo or shopper answer

One delivery zone, one market, one decision

Talk to the Rwazi team about one delivery zone, one market, and the decision on the table this quarter.

FAQ

Questions q-commerce teams ask

01 What is quick commerce?
Quick commerce is fast delivery of groceries and everyday items from small, nearby dark stores, ordered through an app. Sena, a Decision AI with access to real-world data, brings decision intelligence to q-commerce teams by adding consented shopper input and geo-verified photos of nearby stores and doors to the order data a team holds, so each figure traces to the answer or photo behind it.
02 What is q commerce?
Q commerce is the short name for the same model: groceries and daily items delivered fast from a dark store near the shopper. Q-commerce teams decide where each site sits, what it stocks, and what it charges, and Sena adds the shopper's reasons and nearby store photos to each decision.
03 What is a dark store?
A dark store is a small warehouse that serves app orders only, stocked for the zone around it. Each site wins or loses on its range, its price, and the doors it delivers to, and Sena captures the shopper and street signals behind all three.
04 How does Sena help place a dark store?
Sena captures geo-verified photos of the grocery and convenience stores around each candidate zone, and shoppers there state what they order fast and what they buy in store. A team reads both beside its own order data to pick the zone with the deepest demand.
05 What shapes the quick commerce market in a city?
The quick commerce market in each city rests on store density, shopper price sensitivity, and how easy each door is to reach. Sena captures those three by market: photos of nearby stores, shopper answers on price, and access conditions at delivery points.
06 What slows delivery at the door?
Entry rules, parking distance, and hard-to-find addresses slow delivery at the door. Sena captures access conditions in geo-verified photos at the delivery points a team names, so delivery teams separate door issues from address issues and fix the zones with the most door issues.
07 Which systems does Sena connect to for quick commerce teams?
Sena connects to the systems q-commerce teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Shopper answers and photos join that data, so one answer covers the team's own orders and the street around them.