Thought leadership
Top Trends in Data Sharing for 2023
Privacy governance, verifiable credentials, decentralized sharing, and semantic interoperability — the trends reshaping how supply chains exchange data.
Every partner, every product, one verifiable source of truth.
Your supply chain runs on data from dozens of parties who don’t share a database. Fluree unifies supplier, product, and logistics data into a governed knowledge graph — so your teams trace, respond, and prove instead of reconcile.
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Your supply chain runs on data you don’t control.
Product truth lives in your suppliers’ spreadsheets, your ERP, and your logistics partners’ portals — and none of them agree. Three problems every supply-chain data team knows by heart.
Product truth is fragmented.
Every supplier, plant, and distributor keeps its own version of the item. Attributes conflict across ERP, PIM, and partner feeds — and nobody can say which record is right, or why.
Disruption response is blocked.
When a port closes or a supplier fails, answering “what’s affected?” means stitching together disconnected systems by hand. Impact analysis takes days while the disruption compounds by the hour.
Compliance evidence is hand-assembled.
Trade documentation and ESG reporting demand provenance you can prove. Today the evidence lives in emails, spreadsheets, and supplier portals — reassembled from scratch every audit cycle.
From fragmented feeds to a governed supply-chain graph.
The same governed graph underneath four supply-chain outcomes — start with the one that hurts most, and every later use case inherits the work.
Supplier & product golden records
Resolve duplicates and conflicting attributes from every source system into one governed record per supplier and per SKU — with lineage back to each contributing system, so “which record is right?” has an answer.
An AI-ready product catalog
Clean, deduplicated, semantically consistent product data that AI agents, search, and syndication can actually trust — instead of a catalog your team quietly works around.
Disruption response on a connected graph
Model suppliers, sites, lanes, and SKUs as one network graph. When something breaks, “what’s exposed downstream?” becomes a query you run in seconds — not a project you staff for a week.
Trade & ESG compliance with verifiable lineage
Every attribute carries provenance you can trace and policies enforced at the data layer. When the auditor asks where a number came from, the answer is already attached to it.
How a Global 500 CPG Company Built an AI-Ready Product Catalog with 97.5% Accuracy — in 3 Weeks
Working with Fluree Sense, 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 data-centric supply chains.
Writing from the Fluree team on interoperability, provenance, and FAIR data — the principles this page is built on.
Thought leadership
Making Data FAIR
Findable, Accessible, Interoperable, Reusable — the standards-based framework for machine-readable, AI-ready enterprise data.
Data management
Data-Centric Time
Why an immutable record of how data changes over time is the foundation for audit, compliance, and traceability.
Give your supply chain one source of truth.
A 30-minute demo tailored to your product and supplier data — see how a governed graph traces, resolves, and proves across every partner and system.