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At present, DHL is using "data" to solve customer program development. The areas covered include risk analysis and management, business forecast and sales forecast. DHL recently announced large data trends in the field of logistics. The report highlights the enormous potential of commercial data mining in logistics field. Data related to the amount of data is huge, acquisition, analysis from the different channels, and applied in the field of commerce. DHL application of large data launch customer solutions have three: one is the tool of risk management in supply chain -- "DHL restoration 360"; two is the business forecast model -- "DHL parcel traffic forecasting"; three is the sales forecast -- "prospect of DHL geographic information tools". At present, after the two tools are pilot. Previously, DHL has to carry on the management to the business activities using large data, such as the intelligent route mileage, fuel consumption and reduce carbon dioxide emissions. "DHL reduction 360" risk management tools, through real-time supply chain risk comprehensive, end to end to provide customer analysis, can effectively reverse supply chain paralysis, the global environment and other adverse factors, effective competition. DHL chief commercial officer Bill Meahl said, the supply chain is the lifeline of a company, also can help client company to meet the current challenges, and predict the future development trend. Although we can not avoid risk, but the company can effectively manage the risk, and minimize risk. "DHL parcel traffic prediction" model helps the company to fully consider the related factors, to predict the package volume. "Data" model can effectively optimize the process, and improve the quality of customer service. "Outlook" DHL geographic information provides geographical marketing tool for small and medium enterprises. Through this model, the client can the geographical data of complex analysis, and forecast the sales data. MYEX Minya Express International 2014-03-06