global retail business solutions planogram

Decreased inventory in stores and distribution centers.Increased responsiveness to customer demands.

This helps in avoiding costly stock-outs and overstocks while improving inventory turns and product sell-through across the network to drive higher margins. The solution scalability to solve complex problems involving numerous SKU/store combinations makes store-level replenishment possible. You can also leverage the solution to optimally allocate finished goods inventory to ensure that the products are placed at your best locations to maximize sales.įor ultimate replenishment optimization, Fulfillment offers capabilities for modeling and replenishing individual SKUs at individual stores. To accomplish these tasks, the Blue Yonder software includes several different components, including the Blue Yonder Platform, Common Security Administration (CSA) application, Supply Chain Planning and Optimization (SCPO) Web, SCPO Schema, Flexible Editor utility, and Demand functionality.īeginning with the setting of optimal inventory policy decisions through safety stock strategies, Fulfillment then uses store level forecasts to determine the requirements that pull product through distribution centers. Your actual forecast is then based on a combination of both the statistical model and the judgement forecast. For example, if your company manufactures computers, you might gather information from chip suppliers regarding new technology and from retailers regarding customer buying habits to create a forecast that is much more accurate.Īdding such data is called judgement forecasting and is incorporated into your forecast by manually adding overrides, locking the forecast, entering targets, or modifying other values or parameters. In addition, Demand allows you to gather information from suppliers, marketing, and other sources to adjust your forecast for more accuracy. These processes work with the data stored in tables in the Blue Yonder database, called the SCPO Schema.

This calculation, called a statistical model, is created using a variety of software processes that handle data-intensive tasks. To create this forecast, the system uses mathematical calculations to predict future demand based on historical data. You can then use this forecast to drive planning for distribution, manufacturing, materials, and transportation. Demand is a sophisticated tool that uses the customer demand history of your company to create an accurate forecast of future demand.

Global retail business solutions planogram