Retail product data wasn’t designed for AI. It’s fragmented across systems and teams, making it inconsistent and incomplete. Without the context LLMs rely on, products are filtered out before AI can compare or recommend them — resulting in lost revenue.
Autonomy solves this by:
- Analyzing how products appear in AI answers
- Identifying attributes hurting discovery and ranking
- Enriching and standardizing product data
- Benchmarking against competitors
