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Sena shows the demand behind each route

Sena Decision AI shows logistics teams which corridors gain new stores, what store owners and shoppers expect, and which contracts to grow. Every figure traces to a site photo, a store owner answer, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample logistics
Store openings by corridor
+34
Openings on corridor 2
Top service problem store owners name
Late
Late drops, 39% of owners
Open stores outside the network
67
281 open, 214 served
Monthly revenue in reach
92,795
At 1,385 per store served
every figure opens a dated site photo or store owner answer
AT THE END OF THE ROUTE

Demand decides where routes pay

Data analytics in logistics usually reads shipments, costs, and capacity. On retail routes, volume comes from stores restocking and shoppers ordering, and that demand moves before shipment history shows it.

Shipment history shows the past

Logistics data shows what moved last quarter. A new store, a lost account, or a change in orders shows up after the fact.

Sena:Sena captures store owners' restock plans and shoppers' buying choices, by segment and market.

New stores change a corridor

Store openings and closures shift volume along a route. Shipment files show the change once orders start.

Sena:Sena captures geo-verified photos of store openings and active sites in the corridors a question names.

Service tiers meet delivery expectations

Delivery expectations differ by market, from daily drops to weekly restocks. A service tier priced for one city can trail in the next.

Sena:Sena captures which delivery windows, frequency, and order sizes store owners value, in each market.

The decisions

Four decisions logistics teams make

Sena adds the demand side to data analytics in logistics and settles these four decisions.

Decision 01

Pick the corridors to add capacity

Sena captures geo-verified photos of store openings and active sites in the corridors a question names, and store owners state how often they restock, by segment and market.

Decides:Which corridors lead the next round of logistics network planning.

See strategy decisions →
Decision 02

Win shippers with consignee proof

Store owners state which suppliers deliver to them, how reliably, and what they would change.

Decides:Which shipper accounts to pitch, and with which service promise.

See sales decisions →
Decision 03

Design service tiers around store demand

Store owners state which delivery windows, frequency, and order sizes they value.

Decides:Which service tiers to offer shippers in each market.

See revenue and pricing decisions →
Decision 04

Spot demand shifts before contracts renew

Store owners and shoppers state what they buy more or less of, and Sena confirms store openings at each named location.

Decides:Which customer contracts to grow, reprice, or exit.

See growth decisions →
HOW A TEAM CHECKS EACH FIGURE

Corridor figures tied to photos and stores

Sena ties every figure to the photo or answer behind it, so a team checks each one against the data analytics logistics teams already run.

A geo-verified photo per site

Each site reading carries its photo, location, and date. A store or site counts as open once a photo confirms it.

Consented input, checked before it counts

Each answer comes from a store owner or shopper 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.

NEW STORES BY CORRIDOR

Count the open stores outside the network

Logistics data lists the stores a corridor serves today. Sena counts the open stores a geo-verified photo confirms on a corridor a question names, and the gap is the new stores to plan capacity for.

  • Open stores confirmed by dated photo, by corridor and store type
  • Each new store tied to its corridor and segment
  • Revenue in reach, from the team's own monthly revenue per store served
New stores by corridor calculatorExample figures
ServedIn reach
Open stores outside the network
67
Monthly revenue in reach
92,795

The new stores calculator shows the open stores outside the network and the monthly revenue in reach.

A walkthrough on one corridor

A walkthrough runs Sena on one corridor in one market, from site photo to the capacity decision.

By team

Which logistics team owns the 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 ROUTE DEMAND

Demand signals for data analytics in logistics

AreaCommon methodSena
Corridor demandShipment history and logistics network planning modelsDated photos of store openings and active sites
Account healthOn-time and claims reportsStore owners name the service problems they see
Service designRate cards and rival quotesThe delivery windows and frequency store owners value
Retail accountsRetail logistics volume by customerWhat each segment of stores plans to restock
AuditingShipment, corridor, and customer reports matched by handEach corridor figure carries its photo or demand answer

One corridor, one market, one decision

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

FAQ

Questions logistics teams ask

01 What is data analytics in logistics?
Data analytics in logistics is the practice of reading shipment, route, warehouse, and demand data to decide where to add capacity, how to price, and which customers to serve. Sena, a Decision AI with access to real-world data, brings decision intelligence to logistics teams by adding geo-verified site photos and consented store owner and shopper input to the data a team holds, so each figure traces to the photo or answer behind it.
02 What is data analysis in logistics used for?
Data analysis in logistics turns shipment and cost figures into route, warehouse, and pricing choices. Sena adds the demand side to data analytics in logistics: who buys at the end of each route, captured from store owners and shoppers, by segment and market.
03 What is predictive analytics in logistics?
Predictive analytics in logistics models future volumes from shipment history and seasonality. Sena feeds a team's own models with current demand signals: store openings confirmed by photo and what store owners and shoppers say they plan to buy. That gives the model a forward signal next to the shipment history.
04 What do logistics analytics solutions measure?
Logistics analytics solutions measure cost, speed, and capacity across routes and warehouses. Sena adds the demand at the end of each route: the stores opening in the corridors the team picks and what store owners plan to order, so capacity follows the stores that are opening.
05 How is big data in logistics used?
Big data in logistics combines tracking, order, and route data at scale. Sena adds a demand layer to it: dated photos of sites and consented answers from store owners and shoppers in each named market, so route plans follow where new demand appears.
06 What are the current logistics industry trends?
Logistics industry trends are shifts in how goods move and how people and stores buy, such as delivery speed, order size, and restock frequency. Sena captures those buying choices from shoppers and store owners in a named market, so a team reads each trend from the demand side.
07 Which systems does Sena connect to for logistics teams?
Sena connects to the systems logistics teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Site photos and store owner answers join that data, adding the demand behind each route to the data analytics logistics teams already run.