Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Home furnishing consumable purchase order pushing system based on big data

A technology for purchasing orders and consumables, which is applied in the field of big data, can solve problems such as long waiting time and slow delivery, and achieve the effect of protecting the safety of use, improving the home experience, and improving the safety of users at home

Inactive Publication Date: 2017-09-15
合肥步瑞吉智能家居有限公司
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the accelerated pace of life and work, online shopping has penetrated into people's lives and has become an indispensable part of people. However, the disadvantage of online shopping is that the arrival of goods is slow, and it often takes 3-5 days or even longer from placing an order to signing for the goods. For a long time, some household consumables are inadvertently consumed but not known in time, and the waiting time for online shopping is too long

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Home furnishing consumable purchase order pushing system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] refer to figure 1 , a big data-based purchase order push system for household consumables proposed by the present invention, including:

[0021] The initial parameter information collection module is used to collect and monitor the brand information of consumables and the initial parameter information of consumables;

[0022] In a specific solution, the brand information and the initial parameter information of the monitoring consumables are collected and monitored by scanning the barcodes or QR codes of the consumables, wherein the initial parameter information of the monitoring consumables includes: initial specification parameters, shelf life date, and further Yes, when there is no barcode or QR code for consumables, the initial specification parameters and shelf life date can be entered manually by the user.

[0023] The early warning setting module is used to set the early warning value of the consumable according to the initial parameter information of the monito...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a home furnishing consumable purchase order pushing system based on big data. The system comprises an initial parameter information collection module used for collecting brand information and initial parameter information of monitored consumables, a warning setting module used for setting a consumable warning value according to the initial parameter information of the monitored consumables, a current parameter information collection module used for collecting current parameter information of the monitored consumables, an information pushing module used for comparing the current parameter information of each monitored consumable with the consumable warning value and pushing consumable order information to a user terminal according to the brand information of the consumables when the current parameter information of any monitored consumable reaches the consumable warning value, and an order generation module used for receiving consumable purchase order confirmation fed back by the user terminal according to the consumable order information.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a big data-based purchase order push system for household consumables. Background technique [0002] With the improvement of people's living standards, people have higher requirements for the home environment, and hope that the home environment will be more intelligent and humanized. With the accelerated pace of life and work, online shopping has penetrated into people's lives and has become an indispensable part of people. However, the disadvantage of online shopping is that the arrival of goods is slow, and it often takes 3-5 days or even longer from placing an order to signing for the goods. For a long time, some household consumables are inadvertently used up but they are not known in time, and the waiting time for online shopping is too long. [0003] With the development of my country's modernization, the rapid development of Internet technology, Internet of Things, and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q30/06
Inventor 朱鸿昌
Owner 合肥步瑞吉智能家居有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products