Mapp acquires Dressipi to boost fashion AI capabilities

Global Marketing Cloud provider Mapp has announced the acquisition of Dressipi, an industry leader in fashion-specific AI and machine learning technologies, facilitating advancements in AI-powered solutions for the fashion and retail sectors.

Dressipi's proprietary tools excel in enriching product attribution, delivering personalised fashion recommendations, and improving demand forecasting to reduce waste. The integration of these capabilities into Mapp's existing platform aims to enhance customer experiences and maximise profitable growth.

Mapp has already established itself as a trusted partner for leading D2C brands and omnichannel retailers. Adding Dressipi's capabilities will support Mapp's commitment to the sector and deliver tools that are purpose-built for the unique demands of fashion retail. Mapp helps businesses boost customer engagement by combining AI-powered insights with cross-channel marketing automation. With over 20 years of experience and trusted by 700+ brands, Mapp empowers marketers to create personalised, data-driven campaigns across multiple channels. 

James Brooke, CEO of Mapp, commented on the acquisition, stating, "Mapp's acquisition of Dressipi represents a bold step forward in redefining how fashion and retail brands engage with their customers. The integration of Dressipi's cutting-edge product attribution and advanced Machine Learning models with our proven marketing platforms will enable brands to grow while closing the profitability gap, creating new value through smarter decisions and better customer experiences."

The acquisition is set to address several challenges faced by modern fashion retailers, including improved profitability through precise demand forecasting and personalisation tools designed to reduce returns. Furthermore, the unified solution aims to yield a comprehensive view of customer behaviour across both online and offline channels by integrating with Mapp's AI-driven analytics solution.

Dressipi pioneered fashion-specific AI and machine learning, offering leading-edge solutions for personalisation, product attribution, and demand forecasting. By combining deep expertise in data science with an intuitive user experience, Dressipi empowers brands to deliver smarter, more profitable retail experiences by informing every customer interaction with 'The Why Behind the Buy.'

Sarah McVittie, Co-Founder of Dressipi, expressed enthusiasm about the collaboration: "We are thrilled to join forces with Mapp. Our shared vision of delivering value through AI-powered insights and innovation makes this a natural fit. Together, we can empower fashion and retail brands to achieve new levels of success by combining deep product knowledge with advanced marketing technology."

By incorporating Dressipi's capabilities, Mapp fortifies its position as a strategic partner for leading direct-to-consumer brands and omnichannel retailers, offering tools specifically suited for the distinctive demands of the fashion retail sector. The integration is anticipated to enhance Mapp's commitment to supporting these businesses in optimising strategies and achieving measurable results.

Dressipi's platform is widely recognised for its ability to:

• Enrich product attribution with unparalleled depth and precision, enhancing discoverability and personalisation.
• Deliver fashion-specific machine learning models that provide tailored product recommendations and outfit suggestions.
• Optimise inventory and reduce waste through accurate demand forecasting and fit models.'