AI Search Merchandiser
AI Search Merchandiser
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AI assisted Search results, Recommendations and Relevance SaaS for online visual merchandising
Jio Platforms, 2025
AI assisted Search results, Recommendations and Relevance SaaS for online visual merchandising
Jio Platforms, 2025
Problem context
Problem context
Reliance Retail's product category managers across various businesses like JioMart, Ajio, Tira, etc were performing time consuming, manual, routine activities, like Price comparisons, report building, working with developers to make updates to product listing, etc. based on constantly changing goals to stay competitive a well as fullfil contracts with brands. 3rd party SaaS products were too expensive, would impact confidentaility, and didn't meet our custom requirements for internal business support.
My role as UX Manager
My role as UX Manager
Identified and acquired Visual Merchandising for my UX Patterns team initiative to build SaaS products
Lead ideation workshops with cross functional teams
Co-defined the strategy, roadmap & scope, outcomes
Drive research activities and interview senior executive customers
Ensure the solution is based on research insights and design best practices
Mentor designers on their design and leadership craft
Solution
Solution
Search & recommendation patterns based on user's KPIs and Goals
Customise search results parameters, results preview, and analytics of the results
Customise & preview merchandising rules at multiple levels of the category
Preview customer experience on different device breakpoints
Campaign Dashboard with Actionable insights
Results
Instant updates to listing makes sure that customers looking for a bargain are more likely to buy from us
Transparent Dashboards ensure accuracy of the data and is open to all category managers when discussing about real estate allotment.
1000s of hours saved for product category managers across Reliance Retail
What's next
Build for other usecases in Entertainment
Google Sites
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