物流客戶關(guān)系管理外文翻譯-資料下載頁
2024-09-01 09:22本頁面
【正文】 icantly improve enterprise marketing ability, reduce marketing costs, control the marketing process could lead to all kinds of customers plain that behavior. The application of data mining in CRM Data mining can be applied to take the customer as the center of the enterprise decision analysis and management of different areas and stage. 1) to identify potential customers, acquire new customers. Mining the customer data, make full use of data technology can search for a potential value for the customer. Recognition of the potential of existing customers are mainly analyzed, the customer data to existing customers into different types, different types of customers to provide different customer service and sales plan, and for these provide targeted products and services to meet the demands of customers. Based on the classification of existing customer more easily make enterprise identify potential customers, and eventually to potential customers turned into enterprise real customers, finally turned into a loyal customers. 2) keep old customers. Enterprise business growth not only to get new customers by, more importantly retaining existing customers. Now the cost of acquired new customers in the constant rise, so keep old customer can yet be regarded as an important direction of enterprise development. Data mining can identify potential customers and improve market response rates, acplish are offered. In addition, data mining can help enterprises to identify have left intend to customer, make enterprise take appropriate measures to keep this batch of customers. 3) found that key customers.According to the 2080 principle, the enterprise CRM a important task is discovery and maintaining important customers. Using groups or neural network or decision tree, can identify what features with images of the most important customer is the enterprise clients. 4) to cross selling or valueadded sales. Crossover sales or valueadded sales is the important link of the customer relationship between firm and customer, is an important means to realize a winwin situation. Crossover sales is to let customers buy product or service to the rest of the enterprise value added sales is that customer purchase additional product or service, so that customers buy the product in the direction toward the high value, two sales have extended the effect of customer relationships. To the client, to get more products and services and will benefit to corporations, this will promote sales growth, thus benefit from it. Data mining can help enterprises to find out the most reasonable sales collocation program. 5) improve supply chain efficiency. Supply chain is the main reason of the low efficiency of the supply chain link is overmuch, in data mining, the relevance principle analysis can be analyzed by buyers and sellers, to reduce the correlation of the intermediate link and improve supply chain efficiency. 6) optimizing customer service. Can use the data mining technology for different types of customers on the service requirements, dig out the customer buy trend in order to master the needs of customers, timely adjustment of product structure, thus targeted provide customer service. To improve customer satisfaction and achieve the purpose of retain customers. 7) provide decision support. Over a very large number of customer information database, the use of data mining technology, make customer data visualization, visualization reaction customer information, timely prehensive and dynamic response sales for management personnel quality, provide decision support to provide effective means and data support. 15
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