Dripi
A.I
Raana Chatterjee
Summary
Dripi leverages users’ Wardrobe Intelligence, Fashion Persona, and Life-event signals to predict needs and trigger contextual, inspiration-led omnichannel commerce even before a user decides to visit any shopping platform, thereby increasing the conversion probability and reducing returns.
Notable Achievements
- Onboarded 29,000 Users in around 1 month of beta launch. Zero Ad Spend. 13000 wardrobe 68000 wardrobe items
Pitch Video
The Business
Fashion commerce today is broken at the point of decision-making. Consumers don’t buy individual products—they buy outfits, context, and identity—yet platforms still operate on static catalogs, not on understanding what users already own or actually need. At the same time, choice has exploded, consumer behavior has become fluid, brand loyalty is weakening, and CAC is rising. The missing layer is wardrobe intelligence—a real-time understanding of a user’s wardrobe, gaps, and likely next purchases—which can shift commerce from reactive discovery to proactive prediction.
Dripi is building this Wardrobe Intelligence Layer for Fashion Commerce, enabling brands to move from selling products to selling complete outfits, increasing AOV, conversion, and retention while reducing dependence on paid acquisition. By owning the user’s evolving wardrobe graph, Dripi creates a compounding data moat and becomes the decision engine that influences what users buy, when they buy, and from whom they buy. In a $1.5T+ fashion market, even marginal improvements in conversion and retention translate into massive value—positioning Dripi as a foundational layer in the next generation of fashion commerce.
Dripi is building this Wardrobe Intelligence Layer for Fashion Commerce, enabling brands to move from selling products to selling complete outfits, increasing AOV, conversion, and retention while reducing dependence on paid acquisition. By owning the user’s evolving wardrobe graph, Dripi creates a compounding data moat and becomes the decision engine that influences what users buy, when they buy, and from whom they buy. In a $1.5T+ fashion market, even marginal improvements in conversion and retention translate into massive value—positioning Dripi as a foundational layer in the next generation of fashion commerce.
The Market
The market opportunity for Dripi sits within the $1.5T+ global fashion industry, but more importantly within its fastest-evolving layer—digitally driven commerce, where discovery is fragmented and decision-making is inefficient. As D2C brands, marketplaces, and social commerce continue to expand, the industry is facing diminishing returns from traditional levers like performance marketing and broad-based personalization. This creates a large, under-monetized opportunity for an intelligence layer that can directly influence conversion, basket size, and repeat behavior. By positioning itself at the pre-purchase decision stage, Dripi taps into a high-frequency, high-impact moment in the consumer journey, enabling it to capture disproportionate value across transactions rather than competing within them.
Objective/Future (Use of funds)
Upgrade the Dripi Tech Platform
Start generating revenue
Acquire Users as per the projection
Onboard 200+ Fashion brands after Pilot
Scale and achieve the Business KPIs
Gear Up for Series A
Start generating revenue
Acquire Users as per the projection
Onboard 200+ Fashion brands after Pilot
Scale and achieve the Business KPIs
Gear Up for Series A
The Team
Bhaskar Dangda -
CEO
18 Years of experience in Marketing, Strategy, GTM. Last served as Strategy head at Amazon Prime India. Studied from IIM Calcutta
Growth Roadmap
Uploaded Documents
No documents uploaded
© 2026 by AngelLinx. All rights reserved.