
Mystore-E
The first digital fashion discovery platform that brings the online display-model offline.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
N/A | $8.0m | Seed | |
Total Funding | 000k |
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STOREE, also known as Mystore-E, was founded in 2016 by Asaf Shapira (CEO), Idan Sergi (COO), and Chen Cohen (CTO). The founders combined their diverse expertise to address inefficiencies in retail management. Shapira brought a background in business development, entrepreneurship, and social media marketing. Sergi contributed his leadership experience in building new businesses, strategy, and scaling operations, while Cohen provided years of experience in research, algorithms, and technology.
The Tel Aviv-based company operates in the B2B market, providing an AI-powered retail operations platform designed to enhance in-store performance for multi-location retail chains. Its business model is centered on a subscription-based service for its all-in-one platform. The company targets retail clients in sectors such as apparel, cosmetics, accessories, and eyewear, and by August 2021, it was operational in over 2,500 stores across Israel and Europe. A significant milestone was the completion of an $8 million seed funding round in August 2021, with investors including Signet Jewelers, which enabled the company to expand its operations.
STOREE's core product is an AI-driven platform that functions as a digital assistant for retail managers and an operational tool for store associates. The platform analyzes data from various channels, including sales history and product inventory, to identify revenue-impacting issues, forecast trends, and automate tasks. For store managers, it provides automated coaching, assigns tasks, and offers real-time insights into performance gaps. For store staff, it delivers daily action prompts directly to their handheld devices, detailing tasks like which window displays to set up or which slow-moving items require attention. A key feature is the ability to create an "AI Twin" of a manager, which scales their management style and decision-making across the entire chain, ensuring consistent brand execution. The system delivers personalized daily briefs, sets data-driven goals for each location, and tracks task completion to close performance gaps and boost sales. This approach aims to bridge the gap between the data analytics capabilities of e-commerce and the realities of physical retail.
Keywords: retail operations, workforce management, AI retail platform, task management tool, data-driven retail, store performance, employee productivity, retail technology, in-store execution, sales amplification, automated retail management, visual merchandising, AI assistant, B2B software, retail analytics, store communication, retail chain management, operational efficiency, inventory optimization, customer experience