Impact Analytics

Impact Analytics

Building 360-degree AI powered retail automation products to empower enterprises to automate their complex workflows and help them turn their data into insights.

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Series D
Total Funding000k
More about Impact Analytics
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Impact Analytics is a cutting-edge technology company that specializes in transforming data into actionable insights for the retail industry. Founded in 2015 by Abhirup Ganguly, who brings over 20 years of experience in data science and consulting, the company aims to help retailers optimize their business strategies and drive bottom-line growth.

Impact Analytics serves a wide range of clients in the retail sector, including large retail chains, specialty stores, and e-commerce platforms. The company operates in the business intelligence and analytics market, which is currently experiencing rapid growth due to the increasing importance of data-driven decision-making.

The business model of Impact Analytics revolves around providing a comprehensive suite of software solutions that automate and optimize various retail operations. These solutions include demand forecasting, pricing strategy automation, space management, financial planning, product tagging, assortment planning, and inventory management. By offering these services, Impact Analytics helps retailers improve efficiency, reduce costs, and increase profitability.

Impact Analytics makes money through a subscription-based model, where clients pay for access to its platform and tools. The company also offers consulting services to help retailers implement and maximize the benefits of its solutions. Additionally, Impact Analytics partners with other technology providers to offer a more integrated and comprehensive service to its clients.

In summary, Impact Analytics is a one-stop-shop for retailers looking to leverage data to improve their operations and drive growth. The company's state-of-the-art platform and expert consulting services make it a valuable partner for any retailer looking to stay competitive in today's data-driven market.

Keywords: retail analytics, demand forecasting, pricing automation, space management, financial planning, product tagging, assortment planning, inventory management, business intelligence, data-driven decisions.

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