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Marketplace Optimisation
Khadims
Marketplace infrastructure rebuilt for one of India's most recognised footwear brands — restructured listings, improved discoverability, and inventory aligned with actual demand patterns.
Marketplace infrastructure rebuilt for one of India's most recognised footwear brands — restructured listings, improved discoverability, and inventory aligned with actual demand patterns.
Khadims is one of India's most established footwear retail brands, with a significant offline network and a growing eCommerce presence. Despite strong brand recognition, their marketplace operations were underperforming — fragmented listing structures, poor search visibility, and inventory misaligned with what customers were actually looking for.
StradonAI was engaged to restructure how Khadims operates across eCommerce platforms — bringing systematic discipline to listing architecture, search optimisation, and inventory management to create a marketplace operation that could scale and compound.
In the offline world, brand recognition drives footfall. Online, it's algorithm visibility, listing quality, and inventory availability that determine sales. Khadims had brand equity — but their marketplace infrastructure wasn't converting it into online revenue efficiently.
Fragmented listing data, unoptimised search terms, and inventory patterns disconnected from actual demand meant that significant online revenue was being left on the table.
Listings across platforms were inconsistent, poorly structured, and missing the product attribute data that marketplace algorithms use to rank and recommend products.
Without structured keyword optimisation in listings, Khadims products were invisible in the search results that captured most category demand — despite the brand's recognition.
Stock availability and inventory levels didn't reflect actual demand patterns — resulting in stockouts on high-demand SKUs and overstocking on low-velocity products.
Conducted a full audit of Khadims' presence across platforms — listing quality scores, keyword coverage, content completeness, image standards, and inventory patterns — to identify the highest-impact improvement areas.
Rebuilt the listing framework from the ground up — product attributes, keyword mapping, title structures, description templates, and category placement — to align with how marketplace algorithms surface products.
Identified and integrated the search terms that drove category demand, structured into listings systematically — improving organic ranking across the high-intent keywords Khadims should be winning.
Analysed demand patterns, sell-through rates, and seasonal signals to create an inventory management framework that matched stock levels to actual market demand — reducing stockouts and waste.