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Whitepaper · FMCG / Food

Category reviews with AI: half a day instead of a week.

Expert guide for sales & marketing at FMCG and food manufacturers: how five heterogeneous data sources become a verified data basis for category reviews and annual negotiations in hours instead of weeks — with AI that checks your data instead of hallucinating. Sign up — you'll receive the whitepaper directly by email.

Cover Category reviews with AI: half a day instead of a week.
11 pages · Expert guide · Version 2.1 · June 2026
  • Five data sources, one retailer story

    Consolidate POS/sell-out data, Nielsen/NIQ panel, ERP sell-in, household panel and planogram data without errors.

  • Calculated, not guessed

    AI that verifies data instead of hallucinating: a checked, source-backed basis for the annual negotiation.

  • Data-sovereign instead of cloud AI

    Why generic cloud AI fails on confidential terms — and what the sovereign path looks like.

Executive summary

Category reviews and annual negotiations decide shelf space and margin — facing a retail buying side that, according to the German Monopolies Commission, concentrates around 85 percent of German food retail in four groups. Preparation requires merging five fundamentally different data sources in Excel: POS data structured differently per chain, panel data in proprietary formats, your own ERP figures, household panel and planogram data.

The guide shows why this preparation fails today, why Excel and generic cloud AI hit their limits — and how a data-sovereign approach turns multiple sources into a robust, verified data basis in hours instead of weeks: calculated instead of guessed, with sources, in your own infrastructure.

Numbers from the whitepaper

≈ 85%of German food retail is concentrated in four retail groupsMonopolies Commission, Special Report 84, Nov. 2025
≈ 45%private-label share of revenue in German food retailCPS GfK 2023, HDE Retail Report 2024
½ dayinstead of a week for a prepared category review
Whitepaper: FMCG | MindsMachines