Capability in production

Know What You Have, Automatically

Turn your chaotic catalog into a strategic asset

3M+

Rows processed

508

Tables normalized

327

Brands categorized

NLPFuzzy matchingPythonSQL

The problem

Your catalog is a mess. Years of acquisitions, brand changes and manual entries have created a maze: the same product has multiple references across manufacturers. Brand name variations (“MANN”, “MANN-FILTER”, “MANN+HUMMEL”) make automatic linking impossible.

Result: lost cross-selling, missing alternative suggestions, disconnected inventory.

Our solution

An AI-powered categorization and cross-referencing pipeline that normalizes brands, identifies equivalences and enriches your catalog.

In production: 508 tables, 3,032,848 rows updated, 75,044 categories created, 327 brands normalized. In 27 minutes.

Every catalog operation includes data validation, change tracking, and rollback capability. Production systems demand production-grade controls.

Real case delivered

This capability is already in production. See a delivered case.

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Your case will be different.

These metrics come from a real client, not a brochure. Your operation has its own friction, its own constraints, its own team. Activation starts by understanding them — not by copying someone else's setup.

Start by understanding your operation

2-week diagnostic. We map your processes, identify the real friction, and propose with ROI per line. The deliverable is yours, no commitment to continue.

Start diagnostic