The decision intelligence layer for retail

See expiry risk before it becomes loss.

CORTEXA connects demand, product age and store operations so retailers can order smarter, intervene earlier and protect value before time runs out.

See how it works Explore the product
Retail intelligence · Munich
Fresh strawberries arranged in market trays

Illustrative signalFresh strawberries · Store 014

01 / The retail brain

Three intelligence layers. One closed learning loop.

Store data+Context
Supply · Expiry · ActivationCORTEXA
Outcome → learningNext best action

Forecasting is an input. The useful product is an explainable action.

02 / The retail reality

Every category runs on a different clock.

Demand, shelf life and the right intervention change from one aisle to the next.

A real supermarket with mixed departments and working shelf conditions
01Different selling windowsThousands of products move at different speeds.
Bakery products displayed on working retail shelves
02Different demandTiming changes by category and store.
Dairy products in a refrigerated supermarket display
03Different actionsOrder, prioritize, mark down or activate demand.
131M

tonnes of food waste were attributed to retail globally in 2022.

UNEP Food Waste Index 2024Behind the total are ordinary decisions made too late.
03 / Store context

The same product behaves differently in every store.

Location, customer behavior, seasonality, stock and product age change the right decision.

Illustrative Munich retail networkStore positions are examples, not customer locations.
Store 014SchwabingStore 021MaxvorstadtStore 008AltstadtStore 026HaidhausenStore 019SendlingStore 031Bogenhausen
CORTEXAdrag to inspect
Next orderReduce tomorrow’s order by 12 unitsIllustrative recommendation, not a customer result
04 / Digital twin

See the store state and the next action.

Select a category to see how CORTEXA turns store conditions into an explainable action.

Fresh strawberries arranged in market trays

Current categoryFresh strawberries

Store 014Illustrative scenario
Demand tomorrow
−8%
Remaining shelf life
16h
Units exposed
34
Commercial exposure
€420
CORTEXA recommends

Reduce tomorrow’s order by 12 units.

Explainable action surfaced while ordering and demand can still change the outcome.

See how the product works
Works with existing systemsPOSERPInventoryPricingPromotions
05 / Pilot

One store. One category. Prove what changes.

Begin in recommendation mode with 30–50 SKUs and available sales and inventory exports.

  1. 01
    Connect

    Use focused CSV data for dairy, produce or bakery.

  2. 02
    Run

    Review daily demand, risk and action recommendations beside the current workflow.

  3. 03
    Measure

    Compare waste, sell through, availability and commercial outcomes.

Design a pilot
Fresh vegetables displayed in market crates
Every product has a value window.Hamburg produce market
06 / Talk to us

Expiring inventory becomes lost value. CORTEXA helps retailers act earlier.

Bring us one category where expiry, overstock or late action is creating avoidable loss.

Or email contact@cortexalabs.de