Value proposition

AI for Fashion ! Know, Engage & Acquire Customers In-Stores and Online

Dressire (Innowave E Ventures Pvt. Ltd.), is a tech startup incubated with NASSCOM 10000 Startups and being Accelerated by ORACLE in Bangalore. Our Vision is to enable slow and responsible fashion through personalisation.

We believe that technology and analytics can be leveraged to bring about profound simplicity that empowers retailers and consumers while leading the way for socially conscious businesses.

We envisage a world where store sales associates immediately know which items in their inventory best fit the style, size and price sensitivities of any shopper who walks into their store; or having new outfit suggestions that pair new arrivals with items already in their closet. We envisage a world where shoppers know where they can find what they love; a world where they don’t look for clothes, but the clothes find them.

We believe in creating a culture that spurs innovation and creativity, a culture that learns from mistakes, promotes calculated risk taking, and facilitates employee happiness. We believe in being the best version of ourselves collectively and individually each day. We aim to be the best in what we have set out to do.

Dressire is an AI and advanced analytics based solution that helps retailers understand what products can be shown to “walk-in” or “online” shoppers by personalising the entire inventory for “each” shopper in real time even if they have no historical purchase data. It provides personalisation solution that covers every step of a shopper's discovery and decision making journey. Our BI suite provides deep insights about a customer’s persona and preferences. The brands can leverage this information to do targeted marketing, drive their Online to Offline (O2O) strategy and use our data insights to fine tune & align their inventories to the actual demand. If a retailer has a million customers, we create a million unique stores


Predictive Analytics, Machine Learning, Artificial Intelligence, Product Recommendations, Retail Technology, Fit Solutions, In-Store Personalisation, Conversions and Sales, Targeted Marketing, Demand Planning, Prescriptive Analytics, Customer Insights, Clienteling Solutions, Online to Offline sales, Automated Personal Shopper, Style Algorithms, and Business Intelligence