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Sena shows what wins the chiller case

Sena Decision AI shows dairy and seafood teams which products hold the chiller, at what shelf price, and why shoppers switch. Every figure traces to a shelf photo, a shopper answer, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample dairy
Placements confirmed in the chiller
297 / 336
Chiller price against private label
+7%
Above private label, 9 stores
Reason shoppers switch in the chiller
Price
Named in 36% of switches
Monthly sales at stake
48,204
39 placements missing
every figure opens a dated chiller photo or shopper answer
IN THE DAIRY AISLE

Dairy data starts at the chiller

Dairy data usually means production figures, wholesale prices, and syndicated sales. In the chiller, a missing facing, a lower rival price, or a plant-based dairy option beside the milk decides which product leaves with the shopper.

Fresh sales depend on a full chiller

Fresh dairy and seafood carry short shelf lives. A gap in the chiller sends the shopper to the rival product beside it.

Sena:Sena matches every pack in a geo-verified chiller photo to its SKU, in each store the team picks.

Chiller prices move store by store

The price plan sets one price per region. Shelf prices drift as rivals and private label mark down.

Sena:Sena reads the chiller price tags in those same stores, beside the plan price and the rival's.

Plant-based options share the case

Plant-based dairy competes with milk, yogurt, and cheese for the same chiller space. Sales data shows the switch after it happens.

Sena:Sena captures why shoppers chose dairy or a plant-based option, and what would make them switch, by segment and market.

The decisions

Four decisions dairy and seafood teams make

Sena adds shelf photos and shopper answers to the team's own dairy data and settles these four decisions.

Decision 01

Fix chiller gaps by retailer

Sena sets the chiller placements on the retail plan beside the ones a dated photo confirms in the dairy aisle of each named store.

Decides:Which retailer gets the first chiller reset.

See sales decisions →
Decision 02

Hold chiller price against the rival

Sena reads the chiller price tags in the stores on the team's list and shows where milk, cheese, or seafood sits above or below the plan, the rival, or private label.

Decides:Where to correct price, where to match it, and where to promote.

See revenue and pricing decisions →
Decision 03

Keep shoppers choosing dairy

Shoppers state why they chose dairy or a plant-based alternative, what they paid, and what would bring them back, by segment and market.

Decides:Which price, pack, or claim keeps the dairy shopper.

See marketing decisions →
Decision 04

Test a new product before launch

Shoppers in the target market state what they would pay for a new cheese, yogurt, or seafood product, and which product it would replace.

Decides:Which new line gets chiller space first, and at what price.

See innovation decisions →
HOW A TEAM CHECKS THE CHILLER

Each chiller figure traces to a photo

Sena ties every figure to the photo or answer behind it, so a team checks each one against the dairy market data it already holds.

A geo-verified photo per named store

Each SKU and price reading carries its photo, location, and date. A placement counts as present once a photo confirms it.

Chiller shoppers, checked first

Each switching reason comes from a dairy or seafood 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.

CHILLER GAP

Count the chiller gaps by retailer

Dairy market data shows what sold. The chiller gap starts with two counts: the SKU placements on the plan and the placements a photo confirms, split by retailer, store type, and category.

  • Supermarket, convenience, and discount chillers, each counted apart
  • Each gap named by retailer and by dairy or seafood category
  • Each gap priced with the team's own monthly sales per placement
Chiller gap calculatorExample figures
ConfirmedMissing
Missing placements
39
Monthly sales at stake
48,204

The chiller gap calculator turns missing placements into the monthly sales at stake.

A walkthrough on one category

A walkthrough runs Sena on one category in one market, from chiller photo to the pricing decision.

By team

Which team owns the chiller 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 THE CHILLER

How chiller photos extend dairy data

AreaCommon methodSena
Chiller presenceRetailer reports and sell-inGeo-verified photos confirm each SKU and facing in the named stores
Shelf priceThe regional price planThe price tag in each named store, beside the rival
SwitchingDairy industry trends from syndicated salesShoppers state why they switched and to what
New productsConcept scores and team instinctWhat shoppers in the target market would pay
AuditingSyndicated, price, and chiller reports matched by handEach chiller figure links to its photo or shopper answer

One category, one market, one decision

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

FAQ

Questions dairy and seafood teams ask

01 What is dairy data?
Dairy data is the production, price, sales, and shelf information dairy teams read to decide what to make, stock, and price. Sena, a Decision AI with access to real-world data, brings decision intelligence to dairy and seafood teams by adding geo-verified chiller photos and consented shopper input to the data a team holds, so each figure traces to the photo or answer behind it.
02 How do dairy industry trends differ by store?
Dairy industry trends differ by product, retailer, and market, with plant-based alternatives in the same chiller as milk and yogurt. Syndicated dairy data shows the result, and Sena adds the shelf and the reason: chiller photos and what shoppers say made them switch, by segment and market.
03 Why do dairy prices differ from store to store?
Dairy prices move by product, retailer, and market, so one store can cut milk while another holds. Sena reads shelf prices from geo-verified photos in the stores the team picks, beside the plan and the rival, so a team sees which stores sit above or below the plan.
04 What drives the dairy alternatives market?
The dairy alternatives market moves with the choices shoppers make between dairy and plant-based options in each market. Sena captures why shoppers pick plant-based dairy or stay with dairy, what they paid, and what would make them switch, by segment and market.
05 How do seafood market trends vary?
Seafood market trends vary by species, format, and market, from the fresh counter to frozen. Sena captures what shoppers buy, whether they choose fresh or frozen, and what they would pay, by segment and market, beside chiller and freezer photos.
06 How do cheese market trends show up on the shelf?
Cheese market trends show up as new formats, pack sizes, and price tiers in the chiller. Sena confirms the cheese formats and pack sizes in the stores a question names, from geo-verified photos, and captures what shoppers would pay for a new one, by segment and market.
07 Which systems does Sena connect to for dairy and seafood teams?
Sena connects to the systems dairy and seafood teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Shelf photos and shopper answers join that data, so one answer covers the team's own sales and the chiller.