Analysis · Commerce & Consumer Brands

Manyavar CRO discusses AI data use at summit

By Startup Enthusiast · 19 August 2026

What they do

Manyavar sells ethnic wear and describes itself as a technology and data company

CRO Vedant Modi spoke at the Inc42 D2C & Retail Summit in Gurugram about their strategies

The firm uses algorithms for most decisions and has uploaded 85 crore data points to its server

Manyavar Chief Revenue Officer Vedant Modi spoke at the Inc42 D2C & Retail Summit in Gurugram.
He discussed how the brand uses AI and data in its business operations.
The company identifies as both an ethnic wear brand and a tech/data company.
Modi highlighted the firm's approach to managing inventory through advanced technological systems.
The presentation covered specific metrics regarding revenue generation and operational efficiency.
Details were shared on how digital tools support traditional retail practices.
Attendees learned about the integration of historical data into modern decision-making processes.

The story highlights Manyavar's unique positioning as a technology-driven fashion retailer.
It showcases how traditional brands are adopting deep tech for competitive advantage.
The discussion provides insight into high-margin retail strategies using data analytics.
It demonstrates the scale of data assets held by major Indian consumer brands.
The summit setting indicates industry interest in AI applications for retail management.

Manyavar sells ethnic wear products to consumers across various regions.
The company reports annual revenue exceeding ₹1,000 Cr.
It maintains profit margins greater than 65% on its sales.
Product taxonomy avoids traditional color names in favor of detailed subcategories.
Items are categorized by color, texture, fabric, and design type with numeric codes.
Inventory allocation is automated based on local consumer trend data.
Store differentiation is significant with only 35% common design inventory between locations.
70-75% of inventory decisions are made by algorithms with AI handling edge cases.
The firm targets a 90% sell-through rate for supplied inventory per store.
Dead stock is typically donated to maintain premium pricing without discounting.
The company holds 20 years of historical data for analysis.
Approximately 85 Cr data points have been uploaded to a Model Context Protocol server.