Cloud Theory, a new company whose primary objective is to provide better and more useful data insights for the automotive industry, announces its launch. For years, the automotive industry has used incomplete, outdated data to inform important business decisions like marketing spend, inventory allocations, and investments. For the first time, agencies serving major automotive manufacturers and the manufacturers themselves, can apply strategies based on relevant data at rooftop, market, and competitive levels in real time.
Cloud Theory data platforms house billions of data points, including VIN-level automotive data for any market within the US, plus supply and demand of every make and model in real time. Their data is proprietary and not available from any other resource. Additionally, the use of artificial intelligence for predictive modeling is unique to Cloud Theory.
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Cloud Theory was developed by the founders of ZeroSum who recognized a need for better data in the automotive market. “There are billion-dollar decisions being made in automotive today, using data that’s old, incomplete, and lacks competitive context nationwide. We aim to solve that problem by providing those decision makers with real-time insights that will offer them a significant competitive edge,” says Matt Sharp, Co-Founder and General Manager of Cloud Theory.
Cloud Theory is launching with two solutions, Horizon, and Skyline. Horizon is a regional and national insights platform that allows clients to quickly identify opportunities for growth while Skyline provides clients a rooftop view that helps them evaluate their portfolio of dealers relative to their markets.
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