A definition
Product Intelligence is the layer that unifies a product's identity, data and external signals so a business can understand, decide and act across product operations. It connects catalogue, identity, inventory, sales, margin, supply, consumer, compliance and external signals, and it uses that connected record to answer questions and, with permission, to take action.
It is not product analytics alone. Analytics reports what happened. Product Intelligence adds identity, reasoning and governed action on top of the same data.
How it differs from PIM, PLM and ERP
PLM, PIM and ERP are systems of record and workflow. PLM manages development, PIM manages catalogue attributes, ERP manages transactions and inventory. Each owns a domain and is excellent at it.
Product Intelligence is not another system of record. It is the intelligence and decision layer that reads across those systems, keeps a governed product record and reasons over it. It does not aim to replace the ERP or the PLM; it makes the product legible and operable across them.
How it differs from business intelligence
Business intelligence dashboards summarise historical data for a human to interpret. Product Intelligence is organised around the product and the unit, keeps memory of decisions and outcomes, and can invoke authorized actions. The question moves from what happened to what should happen next for this product, and then to doing it with confirmation.
Why it matters now
Regulation such as the Digital Product Passport forces structured, persistent product identity. AI agents and agentic commerce need that same structured, machine-readable product data to find and act on products. Product Intelligence is the layer that turns compliance-grade identity into an operating advantage rather than a cost.