Industry
One Intelligence Layer, From Supplier Contract to Shelf
The full CPG guide: why copilots per silo harden fragmentation, and how one governed graph connects trade promotion, product, supply, and the plant floor.
One intelligence layer, from supplier contract to shelf.
CPG might be the most decision-dense industry there is — and the context each decision needs is scattered across trade, ERP, PLM, and CRM systems. Fluree connects it into one governed knowledge graph, so revenue growth management, product data, sourcing, and the plant floor finally share the same picture.
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The value chain can’t see itself.
Trade spend, contracts, product economics, commodity movements, and supplier terms each live with their own team, in their own system — and one decision needs all of them. Three problems every CPG data leader knows by heart.
Trade spend is optimized blind.
Trade runs 15–25% of gross sales — the second-largest line on the P&L — yet the context a negotiation needs lives outside the trade system: contracts in legal repositories, product economics in ERP, commodity exposure in procurement. Revenue growth management works from a partial picture.
Product truth is fragmented.
Product data arrives from retailers, distributors, and data providers in inconsistent, duplicated form. One Global 500 CPG found 48% of product records with unique IDs were duplicates — and every downstream pricing, promotion, and inventory decision quietly inherited the distortion.
Agents raise the stakes.
A copilot bolted onto each silo gives you five confident, conflicting answers about the same SKU. AI agents can’t walk down the hall to ask whether the number looks right — whatever fragmentation exists in your data, they operate on it at machine speed.
From five fragments to one governed commercial graph.
The same governed graph underneath four CPG outcomes — start with the decision domain that hurts most, and every later use case inherits the work.
Agentic revenue growth management
Promotion performance, trade spend, account profitability, and commodity and supplier exposure enter every negotiation together. Agents honor JBP and contract terms because policy is enforced at the data layer — the whole margin equation, customer side and supplier side, evaluated as one loop.
An AI-ready product catalog
Resolve duplicates across retailer, distributor, and internal feeds into governed golden records — package sizes, flavors, and standards like GTIN-14 filled and verified. Clean product truth that promotions, syndication, and agents can actually stand on.
Supply, sourcing & BOM intelligence
Standardize component and material descriptions across plants and supplier catalogs so equivalent parts are findable in minutes. Supplier concentration risk becomes visible before it becomes a crisis — and document-borne early warnings connect to the same graph.
An AI Agent Factory
A repeatable operating model for creating and running governed agents — conversational marketing-mix, product knowledge, customer 360 in weeks instead of quarters. Because the semantic foundation is reusable, the second agent costs a fraction of the first.
How a Global 500 CPG Company Built an AI-Ready Product Catalog with 97.5% Accuracy — in 3 Weeks
Working with Fluree, the company unified five disparate product-data sources, surfaced a 48% duplicate rate, and reached 97.5% product-data accuracy — with golden records in production in three weeks.
97.5%
Product-data accuracy across the unified catalog
48%
Duplicate rate discovered and resolved
3 weeks
From five raw sources to production golden records
Field notes on decision-grade CPG data.
Writing from the Fluree team on trade promotion, grounding, and agent memory — the thinking this page is built on.
Enterprise AI
Grounding LLMs on Solid Knowledge
Why retrieval over fragmented data plateaus below decision-grade accuracy — and what grounding in a governed graph changes.
Enterprise AI
Building Intelligent Memory for AI Agents
Agents need persistent, governed context that outlives a session — the enterprise memory every new agent inherits instead of rebuilding.
Start with one decision.
Pick one high-value domain — a category’s trade promotions, a region’s product catalog, a plant’s maintenance triage. Most teams ship a working, governed foundation in four to eight weeks.