Now artificial intelligence acts as a personal shopper, fashion stylist and wardrobe consultant for customers. This SaaS (software as a service) solution created by Bengaluru-based Dressire also helps retailers and designers provide individual experiences for online and walk-in shoppers.
“We want to make shopping personal by providing a Mom & Pop store experience, at scale, enabled through one-to-one personalisation and real-time data insights.”
– Ashish Dar, Founder & CEO, Dressire
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Dressire was founded by Ashish Dar, a former IBM staffer with 20 years of process transformation, strategy and analytics experience. Its advanced analytics-based solution helps retailers to better understand the products it could show each customer, even without historical purchase data.
The company, which was earlier incubated by NASSCOM 10000 Startups and by Accenture’s Open Innovation Center, was also part of the ORACLE Global Startup Program. It has since begun collaborating with Oracle to use its chatbot services to create a stylebot. Dressire has bagged four customers to date in women’s apparel, men’s apparel, lingerie and jewellery segments and aspires to scale up globally.
Dressire enables retailers to know the items in their inventory that would best fit the style, size and price sensitivities of a customer who walks into their store. It would enable them to provide style advice and help build the complete outfit or offer new outfit suggestions that would pair with items already in the customer’s closets. By personalising the entire inventory for each shopper in real-time, it ensures that each customer sees only the kind of clothes they would like.
In a store powered by Dressire, the retailer gets to know and engage better with shoppers. The shoppers know where they can find what they love; and what clothes would find them.
“Our Business Intelligence application provides deep insights about a customer’s persona and preferences. The retailers can leverage this information to do targeted marketing, drive their online to offline strategy and use our data insights to align their inventories to the actual demand.”
– Dar to Aditya Mendonca
To this end, Dressire has six modules: Personal Closet, Style Advisor, Outfit Builder and Advisor, Customer Intelligence, Targeted Marketing and Demand Planning Insights. While these modules enable online retailers grab visitors’ attention within seconds of them landing on their site, they also help brick & mortar retailers, who struggle with declining footfalls, provide an engaging and enhanced shopping experience.
Dressire’s focus also extends to an on-demand hyperlocal, hyper-personalisation make-to-order service, Stichnow, that will provide employment to housewives in small towns across India and thus contribute to a circular economy in fashion through its innovative business model.
In a store powered by Dressire, the retailer gets to know and engage better with shoppers. The shoppers know where they can find what they love; and what clothes would find them.
