Retail is under pressure. Inventory is piling up, capital is stuck, and nearly 15% of stock ends up wasted. Today’s consumers demand more variety, faster fulfillment, and fresher products, yet most retailers are stuck using outdated forecasting models that can’t keep up.

In response, Onebeat pioneered a new approach to inventory management—one rooted in operational science and proven by decades of success in real-world business systems. Inspired by the Theory of Constraints and the principles behind The Goal, a business classic endorsed by leaders like Jeff Bezos, Chip Wilson and David Storm as well as a mandatory reading for students at MIT and Harvard, Onebeat’s platform identifies and unlocks hidden potential in retail operations. It Unlike conventional systems that attempt to predict demand through seasonal forecasting, Onebeat’s approach is dynamic, leveraging real-time data to drive daily decision-making. This innovation began with extensive consulting work for some of the world’s leading brands, including P&G, Coca-Cola, Adidas, Panasonic, Tata, Delta Airlines, Mazda, and Hertz. Through years of hands-on experience, its founders identified a critical flaw in existing systems: they were built to offer advice rather than deliver tangible, data-driven results.

Determined to address this gap, the company shifted from consultancy to a scalable, AI-driven platform designed to empower retailers with the tools they need to make agile, effective decisions every day.

“We wanted to deliver supply chain improvement results, not just advice. That’s why we turned our expertise into a productized solution that empowers retailers to make data-driven decisions every single day,” says Dr. Yishai Ashlag, founder and CEO of Onebeat.

We turned our expertise into a productized solution that delivers results not just advice. Retailers can now make smarter, data-driven decisions every single day

Dynamic Inventory Management: A New Approach

Onebeat’s transformative approach, known as Dynamic Inventory Management, redefines how retailers handle stock. Unlike traditional systems that rely on outdated, static forecasts, this methodology decouples planning and buying from allocation and replenishment, allowing retailers to make decisions based on live data. Instead of aiming for seasonal predictions, it continuously optimizes inventory based on real-time consumer behavior, sales trends, and stock levels. This shift from rigid, rule-based forecasting to dynamic, data-driven optimization enables retailers to stay ahead of fluctuating market demands.