Review Customer Proof Record
The record is the governed unit. Nothing downstream is generated from raw notes — only from approved proof.
Agentic commerce / product intelligence platform
Public use ready- Enterprise retailer preparing product catalog data for AI-assisted shopping and comparison.
- Show that structured product intelligence improves AI understanding without requiring a full commerce replatform.
- Product information was fragmented, making AI discovery and comparison less reliable.
- During an eight-week pilot in one product category, attribute completeness increased from 58% to 91% after product records were enriched and structured for AI-assisted discovery. Monitored AI-shopping referrals converted 12% above the site average, but referral volume remained limited, so this should be classified as an early commercial signal, not validated enterprise ROI.
- Catalog improvement
- 58% → 91% attribute completeness
- AI/channel signal
- AI-shopping referrals
- Shopper behavior
- 12% higher conversion than site average
- Governance qualifier
- Limited referral volume, early signal only
Sample data — category-referenced synthetic example.
Fixed illustrative example of the human review step. It is not derived from the selected record. Sample data — category-referenced synthetic example.
The platform increased conversion by 12%.
During a six-week pilot, AI-referred sessions converted 12% above the site average. Referral volume remained limited, so this is classified as an early commercial signal, not validated enterprise ROI.
AI can surface evidence. Humans decide the claim scope.
- Product or message changed
- Claim changed from approved record
- Customer context changed
Any trigger moves the record to Needs update and pauses external reuse.