A demand signal repository (DSR) is a centralized database that stores, harmonizes and normalizes data attributes and organizes large volumes of demand data. At the enterprise level, these repositories can become the foundation for a comprehensive information architecture strategy, driving an array of demand and supply-related predictive analytic applications and processes. (source: Gartner)
Until very recently, companies have based their inventory decisions on static data on vehicles in operation, on sales history, or on subjective perceptions they receive from customers or the sales department.
In sectors such as automotive parts where there is great complexity due to the high number of existing products and the great unpredictability of demand levels in certain product families, we must assess the possibility of incorporating technologies that help us in making decision making.
Using real-time data, automation and processing algorithms, Factory Data technology generates monthly insights that reflects current market realities.
What are the main uses of Factory Data’s demand signal repositories?
Analyze, report and take action based on monthly demand data.
Score all product gaps to better assess new product launches based in current and future demand.
Detect future obsolete products in advance to avoid overstocks or dead stock.
Field-proven, Factory Data technology has been used for more than 5 years now by key auto parts manufacturers, distributors and wholesalers. Some of them are:
Factory Data provides you with market insights that will enable better decision-making and execution across the enterprise, improving customer service and increasing profits.
