According to the method, firstly, a Coxi an model is trained according to historical store owner
retention time data, and the trained model is used for reasoning required statistical information, such as store owner retention probability, store owner demission risk coefficient, store owner
retention time expectation and the like; according to the method, the retention probability distribution of the
shopkeeper can be found out according to historical data, the scheme of replenishment personnel and planning preparation personnel can be conveniently monitored by business, meanwhile, the retention probability distribution of the
shopkeeper is differentially evaluated, the retention state of the
shopkeeper is more accurately evaluated, the structure of the used Coxian model is intuitive and easy to understand, business intuition is met, and the working efficiency is improved. The method is easy to accept and has rich statistical properties, the
retention time of a shop owner can be estimated, the foresight of replenishment personnel is higher, the flexibility of the Coxi an model is low in data requirement, the universality is high, the model training method does not depend on a specific
package, various development platforms can be realized, the universality is high, the model training and reasoning processes can be automated, and the maintenance cost is low.