O2O-based power supply service scheduling method

Abstract

The invention discloses an O2O-based power supply service scheduling method and relates to a scheduling method. By means of a traditional power marketing operation mode, efficiency is low, and management is in chaos. The method comprises the following steps of 1, establishment of a work bearing capacity database; 2, business acceptance; 3, centralized appointment and order delivery; 4, team task assignment; 5, field operation; 6, customer return visit. According to the technical scheme, centralized docking of customer demands is realized through bearing capacity management, meanwhile, field operation control is enhanced, teams and operation modes are optimized, return visits are paid to customers in time, customer complaints are reduced, customer satisfaction is comprehensively improved, and management efficiency is effectively improved.

Description

technical field [0001] The present invention relates to a scheduling method, in particular to an O2O-based power supply service scheduling method. Background technique [0002] The traditional power marketing operation mode has the following disadvantages: First, it lacks a smooth communication mechanism with customers, and customer needs and service perception are not considered and managed as important contents in the system and process, resulting in poor customer service experience. The second is the lack of an adjustment mechanism between service demand and service load. Various indicators and time limit assessments do not consider the actual service load, and there is also a lack of centralized early warning and coordination mechanisms, which easily lead to a high incidence of complaints. The third is that the efficiency of on-site operations is not high, the management and control mechanism is not perfect, and an efficient customer-oriented operation mode has not been ...

AI Technical Summary

Problems solved by technology

[0002] The traditional power marketing operation mode has the following disadvantages: First, it lacks a smooth communication mechanism with customers, and customer needs and service perception are not considered and managed as important contents in the system and process, resulting in poor customer service experience

Second, there is a lack of an adjustment mechanism between service demand and service load. Various indicators and time limit assessments do not consider the actual service load, and there is also a lack of centralized early warning and coordination mechanisms, which easily lead to a high incidence of complaints

The third is that the efficiency of on-site operations is not high, the management and control mechanism is not perfect, and an efficient customer-oriented operation mode has not been established, and the process links are too cumbersome

Fourth, it does not meet the needs of "Internet + business expansion services", and cannot realize the centralized processing of customers' online business

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