Customer demand planning
This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)
|
Customer demand planning (CDP) is a business-planning process that enables sales teams to develop demand forecasts as input to service-planning processes, production, inventory planning and revenue planning.[1]
Definition
CDP is an aspect of managing value chains. Generally, the first step of CDP is to forecast product demand. A manager can plan resource deployment in accordance with the resulting forecasts. It's a bottom-up approach vs. top down planning. Associated risks with this method are: Low forecast accuracy and numbers of planners required. There are various software systems that are designed to forecast demand and plan operations. To test the added value of implementing bottom-up approach, applications are providing simulations functionalities to estimate the resulting demand forecast accuracy (e.g. POS sales ; sales invoices ; shipments, etc.)
In the manufacturer to retailer model, customer collaborative partnerships have become more common since the 1990s. Although there was industry support behind CPFR (Collaborative Planning, Forecasting and Replenishment), manufacturers and retailers are adopting different versions of collaborative forecasting and replenishment strategies. These include collaborative-VMI, CPFR, account based forecasting, CMI, shared single forecast and replenishment etc.
Discovering markets
The challenges and complexities faced by the retailer are somewhat different from the challenges faced by suppliers (manufacturers and distributors). The demand management technology for the merchant is somewhat different from that of the brand or manufacturer on the supply-side. Customer demand planning aims at matching customer supply planning logic and imply CPFR type collaboration. Areas components of demand management include customer experience, demand creation, inventory and pricing optimization, channel management, sourcing, transportation optimization and advanced practices in technology. [2]
See also
References
- ^ Lee J. Krajewski, Larry P Ritzman, Manoj K. Malhotra: "Operations Management: Process Chain and Value Chains, 8th Edition", page 521. Pearson Education, Inc. 2007, ISBN 0-13-169739-0
- ^ "ChainLink Research : Research :Demand Management:Technology for Retailers". Archived from the original on 2011-07-08. Retrieved 2010-05-11.