Air Jet Loom After-sales Service Optimization Of Xianyang Jing Wei Textile Machinery Co.,Ltd

With the development of technology, competition is becoming increasingly fierce, requirements of customer service are becoming more and more strict. Due to the diversity of enterprise products, enterprise has different customer service, which reflects distinction among enterprises. The concept and measure standard of after-sale service of Industrial products has been proposed. Taking the after-sale service of an air jet loom made of Xian Yang Jing Wei Textile Machinery CO.,LTD as an example,listing the problems and Illustrating the situation, characteristics of service of Xian Yang Jing Wei Textile Machinery CO.,LTD, abroad has been analyzed. According to the analysis, optimization of after sale service system of air-jet loom has been presented firstly: The optimization process is to satisfy the user requirement. Changing the development pattern of a company is the key to enhance its core competitiveness, including focusing on pre-sale service, perfecting sale service and extending after sale service;Using SAP in optimization of customer service system,in order to make the management of after sale service more scientific,adapt to the modern enterprise management, and to satisfy the user. In addition,optimization of the operation of customer service has been proposed:Facilitating the customer as the principle,design to the process of after sale service has been carried on. And including use the SAP information system management, Three packs of operation optimization of process and basic, putting forward the optimization operation depends on strict management system and regulatory system to implement. Must having the quality of after-sales service standards, establishing standards for air-jet loom technical service work and after-sales service quality measure method, Statistical analysis was carried out on the quality of service, and have remedial design service quality measures. The last, having to be after-sales service strategy optimization, including management awareness, changing service standards gap, we can improve the recognition of the agent.