Shulou(Shulou.com)06/03 Report--

Agent policy is generally adopted in the construction of sales channels of large-scale production enterprises. According to the situation of regions and products, we should set up different levels of agents, different regions and different levels of agents have different promotion rebate policies, and we also need to adjust the promotion policies according to the current situation of enterprises and markets. on the other hand, it is also necessary to carry out risk control and management of promotion policies in order to prevent lawbreakers from taking advantage of policy gaps.

Production enterprises need to be quarterly, according to the latest promotion policy, need to calculate the rebate amount of each agent. At present, this work is basically calculated by hand using Excel, and the efficiency is relatively low. When the data reaches a certain order of magnitude, manual calculation can not be calculated in time for rebate, which has a certain impact on the enterprise.

If we want to intelligentize the rebate calculation, we need to be able to adjust the promotion strategy in time. When adjusting the promotion strategy, it is not only the adjustment of the algorithm, but also the adjustment of calculation factors. Therefore, the simple use of database and programming can not quickly achieve the adjustment of the promotion strategy every quarter.

In the implementation of this field, the rule engine can make the promotion strategy intelligent and can choose the optimization strategy.

Taking the business rule engine-Visual Rules (Flag positive Rule engine) as an example, we can take a look at the application of the rule engine in promotion rebates:

Accounting: the rule engine can calculate quickly. For the change of marketing strategy, the accounting strategy can be adjusted quickly through the rule engine to get the desired results quickly, and the calculation method can also be changed with the adjustment of policy, and this process does not need to be completed by IT. Taking the Qizheng rule engine as an example, the calculation time for the salary settlement data of more than 200,000 employees in a domestic listed logistics company has been increased from 4 days to 0.5 days, and the number of coding staff for settlement rules has been reduced from 6 to 1.

Risk control: for the grasp of risk, the rule engine can build an expert system to deal with it, form an anti-fraud system for all kinds of fraud risks in the market, and can be upgraded and updated quickly at any time in order to identify more fraud.

Policy adjustment: in the policy adjustment, the role of the rule engine is not through the program code to modify, because once the program and code changes, the system is bound to restart downtime, and then upgrade, which takes some time. After the integration of the rule engine, we can do hot operations without restarting, and immediately realize the adjustment and upgrade of the marketing strategy.

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