Ikigai Labs revolutionizes complex foreasting with AI-powered solution

Ikigai Labs, the leader in AI for enterprise tabular and time-series data, is debuting its Demand Forecasting and Planning solution, an AI-powered offering that enables enterprises to predict demand for products with high accuracy. Designed to help businesses reduce inventory costs, prevent stockouts, and adapt to market changes, Demand Forecasting and Planning reimagines what traditional forecasting tools can offer.

Underpinning Ikigai’s forecasting solution is its patented Large Graphical Model (LGM) technology, an AI model that uses multidimensional graphs to represent the relationships between sets of random variables. This fundamentally challenges traditional forecasting solutions due to them being ill-equipped to deal with sparse, diversely structured, time-series data with complex hierarchies, according to Ikigai Labs. The company’s LGM tech serves to seamlessly harmonize multi-source data to deliver actionable, accurate predictions surrounding revenue, inventory levels, and supply chain performance.

“Traditional forecasting tools often fail to account for uncertainty or handle novel scenarios,” said?Devavrat Shah, CEO and co-founder of Ikigai Labs. “Our demand forecasting and planning solution changes the game. Our AI is designed specifically for structured and time-series data, enabling businesses to move beyond rigid forecasts and instead simulate and plan for a range of real-world outcomes. Whether launching a new product or navigating demand volatility, Ikigai empowers companies to make smarter, faster decisions.”

The Demand Forecasting and Planning solution allows enterprises to anticipate demand with confidence—even for new products or products without historical data. Forecasts are aligned across complex product hierarchies—including regions, channels, or SKUs—for enhanced, end-to-end accuracy. Enterprises can also simulate a variety of “what-if” scenarios customized based on real-world factors, such as pricing, promotions, and seasonality.

“Companies operating in high-variability sectors like retail and manufacturing finally have a tool that aligns forecasting precision with real-world complexity,” said Shah. “This isn’t just about improving accuracy—it’s about transforming how businesses make decisions under uncertainty.”

By combining a wide array of cutting-edge AI techniques—such as synthetic data correlation, external data integration, and expert-in-the-loop (XITL) strategies—Ikigai Labs’ solution can overcome highly intricate forecasting scenarios, according to the company. This includes forecasting for new product launches with no historical data, dynamic inventory management based on seasonality, inventory optimization, and lifecycle planning for product roadmaps.

“Our customers face complex forecasting challenges, from predicting demand for new products to navigating volatile market trends,” said Vinayak Ramesh, co-founder and chief customer officer of Ikigai. “They rely on Ikigai to stay competitive in a fast-changing world.”

For organizations having already adopted Ikigai’s solution, they have reported:

• 30%-plus improvement in forecast accuracy, ultimately reducing costly forecasting errors
• Significant decreases in inventory costs and stockouts
• Accelerated decision-making and enhanced adaptability in chaotic markets

To learn more about Ikigai Labs, please visit https://www.ikigailabs.io/.