Insite AI

About Insite AI

Insite AI operates as a software provider for consumer packaged goods (CPG) companies, offering an artificial intelligence-driven platform to optimize and automate key business decisions. The company was established in 2018 by co-founders Shaveer Mirpuri and Jonathan Reid, who aimed to address the complexity and cost involved for brands in determining effective sales and revenue strategies. Mirpuri brings experience from two previous nine-figure exits and a venture capital background, while Reid was a co-founder of VMG Group, a company with significant revenue and a large team. Located in Austin, Texas, Insite AI has secured $20.8 million in total funding, including a $19 million Series A round in October 2022 led by NewRoad Capital Partners and M12, Microsoft's Venture Fund.

The firm's primary clients are large consumer brands seeking to improve their performance within major retail channels. Insite AI's business model is centered on providing its AI-powered prediction and optimization engine as a tailored Software-as-a-Service (SaaS) solution. This platform integrates into a client's existing workflow and cloud environment, harmonizing various data sources such as point-of-sale data, financial plans, market data, and loyalty programs. By analyzing billions of data points, the system simulates the potential effects of strategic decisions before implementation.

The core of Insite AI's offering involves four main modules that optimize assortment, space, pricing, and trade promotions. The platform provides explainable, AI-driven recommendations to help CPG leadership teams in sales and category management enhance collaboration with retailers, boost revenue, and reduce operational overhead. For example, its Shopper AI™ solution analyzes vast amounts of shopper data from platforms like Walmart Luminate to identify opportunities and explain the causal factors behind performance trends. The technology allows brands to forecast market trends, understand price elasticities, and visualize space optimization opportunities, ultimately enabling them to make data-driven decisions on product mix, pricing, and promotions with greater speed and confidence.