Launches AI Demand Modeling Studio for Consumer Products and Retail Companies

Providing the first AI modeling tool with production-ready models that gives users the ability to leverage their own expertise 

DALLAS, TX, July 7, 2021 — Leading AI forecasting technology company,, released its AI Demand Modeling Studio to the Consumer Products and Retail market today. The solution enables companies with production-ready AI models, pipelines and workflows for demand forecasting, shaping and fulfillment use cases.

“Innovation is a core value of and a key reason why our customers do business with us. I am proud of our industry-first, use case centric Demand Modeling Studio for Retail and CPG. Now customers don’t need to make a choice between the stability and reliability of a SaaS solution versus the flexibility and experimentation capability of an in-house built solution. They can have both. Our customers are investing in their own data science teams to continuously innovate, and we are enabling them.”

—Sivakumar Lakshmanan, Co-CEO,

With the primary goal to better understand consumer demand and more accurately forecast future demand, the AI Demand Modeling Studio makes it possible for companies to adopt AI-driven forecasting and other demand modeling practices without the heavy lifting required from generic AI platforms, nor the restrictions of black-box solutions to customize pre-built models.’s AI Demand Modeling Studio is completely customizable by design, allowing companies the ability to augment, extend, tune, and drive continuous improvement of the models, putting the power in their hands to create and use AI to make accurate demand forecasts. The Center of Excellence (COE) or data science teams can now configure’s AI models, or bring their own, in the same low-code modeling studio.


Serving Fortune 1000 companies globally, is rethinking the way consumer products and retail companies use AI to solve real business problems and deliver significant results. We offer solutions that inform the most important business decisions, from supply chain to merchandising to marketing. For more information, visit


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