Appriss Retail enables retailers across the U.S. and around the globe to use their omnichannel transaction data to reduce risk, increase sales and profitability — all while improving consumer experience. Our AI-driven solutions are continually adapting to changing market conditions to facilitate true omnichannel commerce via brick-and-mortar stores and online.
Quorso’s agile management platform is revolutionizing store operations. Working with some of the US and UK’s largest, most forward-thinking retailers, we’re helping them respond faster to changing priorities, customers and markets; simplify their store ops into three daily next-best actions; and make work more human, engaging and fun for everyone.
DataWeave is a leading digital commerce analytics platform providing sales optimization solutions to global omnichannel retailers, consumer brands and marketplaces in a rapidly evolving digital commerce landscape. The company’s comprehensive suite of SaaS solutions is comprised of tools including Pricing Intelligence, Digital Shelf Analytics, Assortment Analytics, Data-as-a-Service Solutions and Brand Protection.
Placer.ai is the world’s most advanced foot traffic analytics platform, providing unprecedented visibility with accurate and actionable insights into location analytics and consumer demand surrounding any location. It empowers professionals in retail, commercial real estate, and CPG to maximize their offline activities, with reporting capabilities that include visit trends, True Trade Areas, cannibalization/void analysis, demographics, cross-shopping, and favorite places.
Pathr.ai uncovers human behavior and interaction in a physical space. Pathr’s cutting edge Spatial Intelligence platform provides real-time movement patterns leading to increased conversion, more efficient operations and an improved customer experience. With no additional hardware required, Pathr.ai utilizes existing in-store infrastructure to create and understand anonymous location data.
Fashion AI experts Dressipi help apparel retailers understand what their customers will buy and, importantly, not return.
This AI is used in 2 ways; firstly to improve product discovery across the customer journey through recommendations & personalized outfits APIs. Secondly, data collected through the fashion-specific algorithms allows Dressipi to optimize product assortments & size ratios on a garment-specific level.