Demand Sensing allows you to incorporate detailed demand data into your short-term forecasts to reduce forecast error by up to 50%, increase inventory performance by up to 20%, and optimally deploy downstream (e.g., Distribution Centre) inventory.
Downstream data, such as customer and channel data, is employed to identify demand trends, provide advanced warning of problems, and remove the latency between plan and what is really happening in the supply chain. The quicker deviations can be identified, the quicker and more intelligently a company can respond.
Demand Sensing imports fresh daily demand data, immediately senses demand signal changes compared to a detailed statistical demand pattern, and evaluates the statistical significance of the change. It analyses partial period actual demand to perform automatic short-term forecast adjustments using probabilistic pattern recognition and predictive analytics to detect patterns in replenishment orders and to identify and rapidly react to sudden changes in customer demand.
Our Demand Sensing can capture and analyse the demand signal from:
Costa Express is the UK’s largest and fastest growing coffee shop brand, read our demand sensing case study
Are you ready to move your company beyond conventional Demand Planning and start leveraging your downstream data assets...
Amplifon Group is a top player in the global distribution, application and customisation of hearing solutions, read our demand sensing case study