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DISTRIBUTION
CPFR
 

Collaborative planning, forecasting and replenishment (CPFR) addresses the key business problem of uncertainty--uncertainty about the precise outcomes of particular economic events—increasing the advertising, changing a retail price, opening a nearby store, and most importantly, the reaction of the fickle consumer to any of these events at a particular time and place. Uncertainty leads to a variety of hedging strategies, most often excess inventory. CPFR between distributors and trading partners promises increased turns, reduced inventory, higher sales, fewer stock outs and better sell through of products.

At Wipro, we understand that despite the clear competitive advantages of CPFR, many customers remain apprehensive due to unique challenges faced in collaborating with trading partners such as
CPFR puts customers at risks as it gives away the secrets to the partners
Need to commit to a new technological solution and not sure if it is worth the investment

Wipro’s distribution experts help you to build IT solutions for collaborative projects as small pilots and roll out on a broader basis once the concept is proven.

Collaborative demand planning between trading partners greatly reduces the gap between supply and demand. We have expertise and experience in the various process and software tools to synchronize diverse data and facilitate the exchange of data between trading partners.

Wipro’s center of excellence specializes in assisting distributors through the various steps of planning and execution of CPFR steps such as
Create Front end agreement with Suppliers
Joint business plan with suppliers
Sales forecast collaboration
Order forecast collaboration
Order generation/delivery execution
 
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  CASE STUDIES
Wipro helps Exel Logistics improving customer service, optimize costs and build a sustainable competitive advantage
Enterprise data warehousing applications for a contract logistics company
Developing a bottling hub that increased efficiency by 75%
  More case studies
  IDEAS
Intelligence for the Reverse Supply Chain
Supply chain intelligence
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