Testing an AI-Assisted Shopping Journey
Type
Pre-MVP, Readiness Assessment, Shopping Demonstrator
Industry
Retail
Anonymous retailer. The company worked with 10Clouds to test how its product data could support AI-assisted shopping. The completed pre-MVP combined a catalogue-readiness assessment with a standalone shopping demonstrator in a controlled test environment. It was not a production deployment.
Services
Technologies
The question
Could the retailer's existing product data support useful search, discovery, and recommendations in an AI-assisted shopping journey?
The pre-MVP assessed the catalogue, tested customer-facing interactions, and identified the technical and data gaps to address before a possible later production phase.
A controlled pre-MVP
The team assessed the available product feed and mapped catalogue-readiness gaps. A small illustrative enhanced-feed sample showed a possible future direction. Full catalogue optimization remained outside the completed scope.
A standalone shopping demonstrator then tested product search and discovery, recommendations, comparison, and cart building. The controlled scope included a Magento sandbox to demonstrate a cart handoff from the shopping demonstrator into a sandbox commerce environment.
What the work produced
Friends & Family testing yielded qualitative findings about search, recommendations, and the shopping journey. The team also prepared technical documentation, a readiness assessment, and an optimization backlog.
Together, these outputs documented what the retailer could improve before a possible later production phase: catalogue quality, integration boundaries, and the next tests to run.
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