Shopping Assistant Insights
Understand what your shoppers want and how your AI shopping assistant is serving them.
Publisher
THG Ingenuity
Industry Type
Retail & Consumer Goods
Product Details
This agent turns conversations between shoppers and an AI shopping assistant into decisions commercial teams can act on. Users ask plain business questions, such as what shoppers are asking about this week or where the assistant creates friction, and get answers grounded in governed analytics and written in trading-meeting language.
It reveals demand, including products, topics, and searches that could not be matched, which point to unmet demand and range opportunities. It reports assistant performance on adoption, engagement, message and product-click rates, and feedback, shows where conversations stall, and suggests what to stock, promote, or fix with the accountable team named. The agent is A2A-compatible, works with Gemini, and reads only the brand’s data for its markets from a governed BigQuery dataset. Shopper verbatims are de-identified with Cloud Sensitive Data Protection, and every query is read-only, date-bounded, and limited to authorized channels. It serves brand owners, traders, merchandisers, marketers, and commercial leaders.
Key Use Cases
Unmet Demand and Assortment Optimization
Merchandisers analyze zero-result searches and conversational inquiries in BigQuery to detect emerging product demand and adjust catalog procurement.
Conversational Funnel Friction Analysis
E-commerce trading managers evaluate AI assistant engagement metrics, click-through rates, and stall points to optimize conversational recommendation flows.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.