Groceryshop is the leading event for grocery and CPG innovation, looking at disruptive trends, technologies and business models, and the 20 companies presenting on the afternoon of Sunday, September 15 represent innovators offering some of the most exciting solutions to some of the biggest challenges retailers face keeping up with fast-changing consumer preferences – and expectations. In this series, we will present profiles of the companies presenting at Groceryshop, counting down from now until the event. In this report we look at ShopperMotion and Simporter.   ShopperMotion at a Glance Founded in 2013, ShopperMotion provides proprietary indoor mapping technology that tracks shopper location and in-store path. The company attaches small sensors on shopping carts and baskets, invisible to shoppers, that transmit signals to Bluetooth sensors in the ceiling. The company’s solution converts the census-level tracking into advanced analytics tools for store management, identifying opportunities to improve customer flow through stores, as well as optimal locations for in-store ads and activations. [caption id="attachment_95639" align="aligncenter" width="700"] Source: ShopperMotion [/caption]   What Problem Does ShopperMotion Solve? Instore flow information can dramatically improve decisions on product placement as managers can see correlations between different areas, blind spots and popular areas. This also helps deploy staff to the best location. ShopperMotion helps retailers track consumers’ complete shopping journey anonymously and transforms the data into actionable insights. Headquarters San Francisco. Funding Stage Venture. Management Team Jorge Bueno, Cofounder and CEO. Alejandro Martín Clemente, Cofounder and CSO. Marco Doncel Gabaldón, Cofounder and CTO. Company Outlook According to ShopperMotion’s CEO, its solution is “changing the way in-store offline marketing is done the way online marketing did when Google Analytics for websites appeared back in 2005.”     Simporter at a Glance Founded in 2018, Simporter uses artificial intelligence and machine learning to predict demand for products before and after launch. It analyses historical sales, social media sentiment, customer reviews, and micro-variables (such as pricing) and transforms this information into simple analytic solutions. The company claims its technology makes accurate predictions up to 93% of the time.   [caption id="attachment_95641" align="aligncenter" width="700"] Source: Simporter [/caption]   What Problem Does Simporter Solve? Simporter provides an easy-to-understand tool to help retailers more accurately predict product demand. Headquarters Atlanta. Funding Stage Seed. Management Team Tim Hall, Cofounder and CEO. Dillon Hall, Cofounder and COO. Company Outlook The company raised a seed round founding in January 2019. It won in the sales and marketing vertical at the ABSL Startup Challenge in June this year.