Ria Rawat

Coordinated fittings, logistics, and scheduling for 15+ designers by implementing a conflict resolution workflow and real-time tracking system, resulting in zero scheduling failures during peak operations. Managed inventory and collection organisation for 200+ garments per season, by introducing a systematic garment-tagging and placement protocol, resulting in 100% on-standard product presentation for audiences of 1,000+ industry professionals.

Architected a scalable fashion catalog within a live social-commerce platform, by designing a structured product attribute tagging system across 5+ brand catalogs, resulting in enhanced digital merchandising consistency and improved discoverability. Led end-to-end onboarding of fashion brands, by standardising product information structure and aligning assortment logic with each brand' s positioning. Developed the platform ' s AI styling language from the ground up, by defining fashion attributes, silhouette logic, occasion mapping, and outfit curation rules, resulting in improved recommendation accuracy and a more cohesive, shoppable user experience. Enabled seamless catalog-to-AI integration, bridging structured product data with the recommendation engine ' s styling parameters, resulting in a 40% reduction in manual styling.

Supported brand storytelling and digital content strategy, contributing to sustained social media engagement growth during a key expansion phase. Extracted purchasing insights from a CRM dataset of 12,000+ user interactions, by segmenting behavioural patterns by product category and seasonality, informing targeted content recommendations that shaped the editorial calendar.