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A method and application of predictable pickup time based on online ordering

A time and duration technology, applied in the field of order data processing, can solve the problems of users' estimated delivery time or long delivery time, limited transaction scenarios, insufficient estimation accuracy, etc., and achieves a simple and fast estimation method, extending application scenarios. Effect

Inactive Publication Date: 2017-12-08
SHANGHAI DIANSHA NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the whole process of picking up the goods of these different self-pickup services, the actual delivery method is similar to that of express delivery, and it is also difficult to inform users in advance of the estimated delivery time or the delivery time is relatively long
[0007] Based on the above, the current online transaction method is mainly only applicable to medium and long-distance physical commodity transactions with low time requirements or reservation transactions with a certain amount of time in advance. Relatively insufficient or rough accuracy, which limits trading scenarios

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Embodiment 1: This embodiment specifically relates to a method of predictable pickup time based on online ordering, which is applicable to the application scenario of online shopping transactions. The method specifically includes the following steps:

[0024] (1) The user places an order for goods in the online store (or online sales channel) of the physical merchant through the client. A single order includes several goods. The user order information is submitted to the data processing system, and the data processing system obtains the user's order information and the order time t, and retrieve, count, and analyze the order information data of the merchant according to the order information, and then start to calculate the order processing time;

[0025] (2) The data processing system calculates the average order processing time of the merchant and the production and processing time of a single product based on the historical order data of the merchant and the total his...

Embodiment 2

[0055]Embodiment 2: This embodiment specifically relates to a method for estimating the pick-up time based on online ordering. The method is specifically a further correction and calculation of the first estimated processing completion time T of the order in Embodiment 1. Specific steps are as follows:

[0056] 1) According to this order information, query the maximum number N of simultaneous orders processed by the merchant under the estimated processing completion time T (that is, the merchant can only process and complete N orders within T time at the same time) and exceed the maximum order processing The extra time t for each order processing after the quantity N;

[0057] 2) According to the order information of this time, query the number n of orders being processed by the merchant at the current time;

[0058] 3) If n+1 (the total number of orders currently being processed) is less than or equal to N, the estimated completion time of the current order is T (that is, th...

Embodiment 3

[0082] Embodiment 3: This embodiment specifically relates to the application of the method of predictable pick-up time based on online ordering in Embodiment 1, that is, the method of predictable pick-up time is applied to the transaction mode of online ordering and independent pick-up, specifically :

[0083] The user places an order for goods in the online store (or online sales channel) of the physical merchant through the mobile phone or computer client. A single order includes several goods; and then pays for the ordered goods through online electronic payment. Of course, on-site payment can also be used. The payment mode of paying when picking up the goods; after the order is placed, the order information of the user's order is submitted to the data processing system, and the data processing system obtains the user's order information and order time t, and retrieves, counts, and analyzes the merchant's order based on the order information Information data and calculation...

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Abstract

The invention discloses a method and its application based on online ordering that can predict the time of picking up goods. The method calculates and obtains the estimated time length T1 of this order processing and the estimated error time length R1 by calling the historical order data of the merchant; at the same time, by calling The historical order data of different time periods is used to calculate the estimated processing time T2 and the estimated time error R2 of the corresponding time period of this order; finally calculate the final estimated processing completion time of this order T=[(T1±R1)+(T2±R2) ] / 2. The advantage of the present invention is that the estimation method is simple and fast, and can be accurate to "minutes", which greatly extends the application scenarios of online shopping transactions, and is especially suitable for near-field environments. The condition of the food.

Description

technical field [0001] The invention belongs to the technical field of order data processing, and in particular relates to a method for predictable pickup time based on online ordering and an application thereof. Background technique [0002] With the continuous popularization of electronic devices and networks, online e-commerce continues to develop. In all Internet or mobile Internet application scenarios that provide online shopping, the methods for estimating collection / pickup time can be roughly divided into two categories: [0003] 1) Online shopping, courier delivery after booking, delivery and delivery method [0004] The service under this type is characterized by manual long-distance or medium-distance delivery, such as: courier delivery after online shopping in different places or takeaway delivery after online ordering is completed), the accuracy of the former delivery time is generally calculated in "days" , the accuracy of the latter delivery time is calculate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06
Inventor 毛洁明张大成郭磊张敏李先桃谭政
Owner SHANGHAI DIANSHA NETWORK TECH
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