D-CAT Technologies · Retail Promotion Intelligence

Your Promotion Investments
Are No Longer a Black Box.

Dozens of campaigns, millions in spend. Which promotion actually translated into sales? Which segment responded? Did cannibalization happen? Promotion Intelligence — not a number but a decision.

Inside the Product

A Promotion Scenario · On One Screen

Pick a store and a product, set the discount and duration; the LightGBM-based forecast engine surfaces base vs. promo sales, revenue, remaining stock and the net profit impact.

Promotion Simulation screenshot — after picking store, product, discount and dates, a forecast sales chart with base/promo KPI comparison

MEHMET EFENDI TURKISH COFFEE 100 G · 21-day catalog promotion at 20% discount · +21.5% sales uplift, +140 units of incremental revenue.

Millions Spent on Promotions. Who Measures the Return?

Dozens of campaigns every month. Each campaign a different team, a different target. So which promotion actually converted into sales? Which customer segment responded? Did cannibalization happen?

Excel reports don't answer these questions. Promotion Intelligence closes the gap.

5 Capabilities · Campaign Decision Support

From ROI to simulation — data-driven support at every stage of your promotion decision.

01

Campaign ROI

Net effect and return measurement, real sales uplift.

02

Segment Response

Which customer group reacted how.

03

Cannibalization

Which product ate which; category impact map.

04

ML Forecasting

Forecasting the next campaign's sales, LightGBM-based.

05

Investment Optimization

Which budget, where? Category/segment allocation.

Roadmap · Today & Tomorrow

The Predictive layer is live in the field; the Prescriptive engine is on our roadmap.

✓ Live · Active

Predictive (Active)

Campaign impact measurement, ROI forecasting, segment response, cannibalization. Live in the field — proven at Carrefour on the Mehmet Efendi campaign with +21.5% uplift.

✓ Live · measured outcome
➞ Coming Soon · Prescriptive Engine

Prescriptive (On Roadmap)

"Which product, which campaign, which segment, when?" — the engine produces recommendations a month ahead, before you ask. Automatic campaign design.

➞ Coming soon · prescriptive engine

Not a model — a decision screen.

When fed by Tracta it merges with competitor data and decision power multiplies. It moves beyond your own sales history: competitor moves, marketplace signals and seasonal patterns become part of your campaign decision.

Target Audience

Trade Marketing Teams

Campaign planning and measurement.

Category Managers

Product / category-level promotion strategy.

Supplier Relations

Joint promotion investment management.

Finance & Control

Promotion budget return.

Proven With Real Data

A methodology validated in the field on large-scale retail sales data and campaign return analytics.

Let Your Promotions Speak in Numbers

ROI measurement · cannibalization detection · segment response · ML campaign forecasting · with the Tracta feed, competitor data enters the model too.