Demand Sensing
Demand Sensing is a feature in demand planning software that uses real-time data, advanced analytics, and machine learning algorithms to improve short-term demand forecasting accuracy. Unlike traditional forecasting methods based solely on historical data, demand sensing incorporates current market signals such as sales orders, point-of-sale data, and external factors like weather or promotions. This enables businesses to quickly detect and respond to sudden changes in demand patterns. By providing more accurate near-term forecasts, demand sensing helps organizations reduce forecast errors, optimize inventory levels, minimize stockouts or excess inventory, and enhance overall supply chain responsiveness and service levels.
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Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
