A customer manager lean management method based on big data modeling
By using big data modeling and adaptive dimensionality reduction technology, the problems of unstructured business mapping and external environmental factor removal in the customer manager management system were solved, achieving lean task allocation and objective performance evaluation, and improving the robustness and stability of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FUJIAN ZHUOFONG INFORMATION TECH CO LTD
- Filing Date
- 2026-06-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing customer manager management systems have shortcomings in unstructured business mapping, external environmental factor isolation, and tolerance for missing heterogeneous underlying data, resulting in blind task allocation and insufficient objectivity in performance evaluation, making it difficult to achieve lean management.
By using big data modeling, we obtain comprehensive basic transaction and status data of account managers, perform data cleaning and format standardization, extract core constraint sets and decompose them into atomic task units, generate high-dimensional capability vectors by combining task complexity nonlinear amplification adjustment coefficients, calculate the weights of micro-capability evaluation indicators using a hybrid subjective and objective progressive algorithm, construct an adaptive constraint integrity verification matrix, monitor the missing rate of underlying data sources, and introduce a penalty function into the multi-objective optimization function to achieve adaptive dimensionality reduction and task dispatch.
It improves the certainty of business matching and the objectivity of performance evaluation, enhances the system's dynamic fault tolerance in environments with incomplete data, and ensures the stability and lean management of account manager scheduling.
Smart Images
Figure CN122414736A_ABST