Now Reading: Manyavar uses AI, 85 crore data points to cut retail guesswork
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Manyavar uses AI, 85 crore data points to cut retail guesswork
Manyavar is using artificial intelligence and data analytics to automate business decisions, from categorising products to allocating inventory by store based on local consumer trends. Vedant Modi, chief revenue officer, said the brand breaks each garment into subcategories such as colour, texture, fabric and design, each assigned a numeric code, allowing algorithms to decide what each store should stock.
At a fireside chat at Inc42's D2C & Retail Summit in Gurugram, Modi said 70-75% of decisions are taken by algorithms, with AI handling edge cases. Automation of store-level inventory allocation has reduced dead stock, as the system automatically moves slow-selling products to stores where demand is higher. The brand aims to sell through 90% of inventory supplied to any store.
Manyavar has uploaded two decades of historical data, about 85 crore data points, to a Model Context Protocol (MCP) server that feeds its AI systems. Modi said the brand's growth is driven by turning data into decisions, from product design to store performance. Manyavar has crossed Rs 1,000 crore in revenue with margins above 65%.
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Manyavar's approach shows how legacy retail can use internal data as a moat. Most Indian apparel brands still rely on buyer intuition, which often leads to mismatched stock and markdowns. By encoding design attributes as numbers, Manyavar creates a structured dataset that algorithms can optimise against sales history, a technique closer to e-commerce recommendation engines than traditional merchandising. The 85-crore-row MCP server suggests the brand treats historical data as a live asset, not an archive. The real test is whether this system can scale as Manyavar opens stores in smaller cities where historical data is thin. Watch how sell-through rates evolve in tier-2 and tier-3 launches in the coming quarters.
Source: inc42.com
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