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Catering distribution analysis processing system and method based on big data

A technology of analysis and processing and big data, applied in the field of big data analysis, can solve the problems affecting the delivery progress and efficiency of delivery staff, and the reduction of delivery efficiency and speed.

Active Publication Date: 2020-08-07
深圳市品道科技研发有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. When the rider leaves the store after picking up the meal at store A, and store A has a delivery destination that is consistent with the delivery destination of the rider, additional riders need to be assigned for delivery, which reduces the efficiency and speed of delivery;
[0004] 2. After the delivery staff delivered the food, the call to the customer has been in a state of no one answering, which will seriously affect the delivery progress and efficiency of the delivery staff;

Method used

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  • Catering distribution analysis processing system and method based on big data
  • Catering distribution analysis processing system and method based on big data
  • Catering distribution analysis processing system and method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0126] The user terminal logs in to the ordering platform through the account login module 1, and the rider terminal logs in to the ordering platform through the account login module 2. location for positioning;

[0127] The user screening module screens the user terminals according to the order number Y of the 10 million user terminals in the previous month, and the order times of the 10 million user terminals in the previous month are 25, 6, 21, 23, 8, 2, ..., 34;

[0128] Among them, there were 2.21 million clients who ordered meals more than 20 times in the previous month, and the information of the 2.21 million clients and historical order information were stored in the storage database through the data storage module.

[0129] The order generation module of client i generates an order X, the order platform receives the order X, the order platform sends the order X to the rider terminal k, the rider terminal k receives the order X through the order receiving module, and ...

Embodiment 2

[0157] The user terminal logs in to the ordering platform through the account login module 1, and the rider terminal logs in to the ordering platform through the account login module 2. location for positioning;

[0158] The user screening module screens the user terminals according to the order number Y of the 10 million user terminals in the previous month, and the order times of the 10 million user terminals in the previous month are 25, 6, 21, 23, 8, 2, ..., 34;

[0159] Among them, there were 2.21 million clients who ordered meals more than 20 times in the previous month, and the information of the 2.21 million clients and historical order information were stored in the storage database through the data storage module.

[0160] The order generation module of client i generates an order X, the order platform receives the order X, the order platform sends the order X to the rider terminal k, the rider terminal k receives the order X through the order receiving module, and ...

Embodiment 3

[0189] The user terminal logs in to the ordering platform through the account login module 1, and the rider terminal logs in to the ordering platform through the account login module 2. location for positioning;

[0190] The user screening module screens the user terminals according to the order number Y of the 10 million user terminals in the previous month, and the order times of the 10 million user terminals in the previous month are 25, 6, 21, 23, 8, 2, ..., 34;

[0191] Among them, there were 2.21 million clients who ordered meals more than 20 times in the previous month, and the information of the 2.21 million clients and historical order information were stored in the storage database through the data storage module.

[0192] The order generation module of client i generates an order X, the order platform receives the order X, the order platform sends the order X to the rider terminal k, the rider terminal k receives the order X through the order receiving module, and ...

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Abstract

The invention discloses a catering distribution analysis processing system and a catering distribution analysis processing method based on big data, which belong to the technical field of big data analysis. The catering distribution analysis processing system comprises an ordering platform used for issuing catering information, a user side used for ordering, a rider side used for distributing takeout, and a dialing reminding module used for reminding a user by dialing. The catering distribution analysis processing system and the catering distribution analysis processing method are scientific and reasonable, safe and convenient use, historical ordering time and shops of customers are analyzed by utilizing big data, when the rider goes to the store to take and deliver the meal, the destination is consistent with the historical ordering time of the customer, messages are pushed to the users to remind users to order meals, on one hand, the rider carrying out catering distribution can carryout distribution together with a plurality of orders; on one hand, the distribution of the riders is more reasonable, the distribution efficiency of the riders is effectively improved; moreover, thetake-out time of the user is greatly shortened, the time of the user from ordering to receiving the takeout is greatly shortened, and the whole catering distribution is more reasonable.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a big data-based catering distribution analysis and processing system and method thereof. Background technique [0002] With the continuous development of society and the continuous advancement of science and technology, the development of the catering industry is also rapid. With the continuous acceleration of people's work rhythm in recent years, the takeaway industry has emerged as the times require. The development of the takeaway industry not only facilitates people's dining At the same time, it provides more jobs for the society, but there are some problems in the actual operation of the existing catering distribution industry: [0003] 1. When the rider leaves the store after picking up the meal at store A, and store A has a delivery destination that is consistent with the delivery destination of the rider, additional riders need to be assigned for delivery, whic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q50/12H04L29/08
CPCG06Q10/083G06Q10/0833G06Q10/0838G06Q50/12H04L67/55H04L67/52
Inventor 刘炎
Owner 深圳市品道科技研发有限公司
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