How to determine the salary and salary of the delivery staff of Ma Xiansheng under Alipay?

Job description: take orders at the store site every day, deliver them to customers on time, deliver them within 2.6 kilometers around the site, and take out fresh food, vegetables and fruits, all of which are small pieces. The company provides employees with electric cars (two sets of 60V batteries), helmets, raincoats, jackets and knee pads (no deposit). ?

Salary: guaranteed 4500 yuan, 7 yuan per bill, 30-50 bills per person per day. The monthly comprehensive salary is 6000- 10000 yuan, and the living expenses can be advanced by 300-500 yuan per week.

Working hours: two shifts: 7 am, 7 pm, 9 am and 9 pm, with six days off.

The new retail was put forward by Ma Yun in his speech at the Alibaba Cloud Habitat Conference in June 20 16-"In the next ten or twenty years, there will be no e-commerce, only new retail." But 20 17 can be called the new retail year. Why? Even though the year of 20 17 is over half, new retail is still very popular. For example, Ali became the second largest shareholder of Lianhua Supermarket, and the progress of "Box Horse Fresh Life" was related to new retail. Many industries seem to be marching in the direction of new retail.

The "newness" of the new retail proposed by Ma Yun is based on the premise that the e-commerce platform disappears, and online and offline are combined with logistics. Online and offline should be combined with each other, that is, learn from each other's strengths, plus logistics. Without intelligent marketing methods, it will be far away to truly complete the advanced stage of new retail.

First of all, whether online or offline, it will produce complex and diverse data, and it is necessary to analyze and understand the consumption habits of users. In addition, logistics has been increased. This kind of data is huge and complex, which requires a lot of time and manpower to manually count or analyze. Therefore, advanced new retail needs an intelligent marketing system based on big data.