02 / APPLIED AI

GenAI product videofication

Catalog analysis, product-attribute inputs and vendor sample reviews for a cross-functional GenAI video rollout.

Status: product videos live in the wider rollout

MY CONTRIBUTION

Business-track coordination, catalog analysis and quality feedback

TIMELINE

2025–2026

TEAM & SCOPE

Category · Catalog · Product · Vendor teams

01 / Context

Product video was part of a broader initiative to improve shopping information at Flipkart. My role connected category priorities and catalog inputs with the teams preparing and deploying videos.

02 / Problem

Video coverage alone does not ensure useful product information. Product selection, relevant attributes and the quality of generated output all needed attention as coverage expanded.

03 / Approach

I quantified catalog coverage, compiled product and attribute inputs, and worked with category stakeholders on where video could add value. I also reviewed sample outputs and consolidated feedback for the teams involved.

04 / My contribution

My contribution covered product-list quantification, attribute compilation and vendor-sample feedback. I brought category and business context to a rollout delivered with catalog, product and vendor teams.

05 / Execution

The work required coordination across category, catalog, product and vendor teams. Sample reviews covered product accuracy, branding and readability, giving the producing teams specific issues to address.

06 / Outcomes & status

Product videos went live as part of a wider cross-functional rollout. My contribution supported catalog inputs, category coordination and sample quality review.

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