AU2017100904A4

AU2017100904A4 - An innovative method, system and software application (web & mobile) for retail merchants to discover potential consumers and present shopping offers on their mobile devices

Info

Publication number: AU2017100904A4
Application number: AU2017100904A
Authority: AU
Inventors: Abdul Jaleel Kavungal Kunnumpurath
Original assignee: Individual
Current assignee: Individual
Priority date: 2017-07-03
Filing date: 2017-07-03
Publication date: 2017-08-03
Anticipated expiration: 2025-07-03

Abstract

Abstract A system and innovative method for identifying consumers and sending shopping offers and discount notifications is disclosed. In one embodiment, the method includes identifying most suitable consumers and pushing offer and discount notifications for more predictable sales conversions. The method includes algorithmically selecting the most suitable consumers based on their shopping list, location and preferred retail stores. Further, the method also includes improving the accuracy of selection of right consumers based on their social network activities and buying history collected by the system. A mobile application is used to deliver offers directly to customers. Horre-'er: art- 3 ~ - Comprs--:Create-:DepoY Lc; DA Yo' Cart Yo..r A:xort Search l - elected Consurers Previex' Coupor and Select consumers for de'very Coupon #1 Go Related Coupons -.- ( Price 5 Coupor Add to Cart Cor'petitor Analytics Corpet r - Consur'er Analytics Map Corpet tor 2 0 Coupons Left Scal 2-:- 1 Scale 200m :1 -

Description

2017100904 03 Μ 2017

Editorial Note 2017100904

There is one page of description only 2017100904 03 Μ 2017

Today merchants send offers to consumers via various sources like newspapers, ads, coupons, ecommerce website sales etc. However, in today's offer delivery mechanism, retail merchants don't have a way to send personalized offers to more targeted audience. Currently, it is a mass delivery to large consumer base and the targeting get diluted due to non-availability of a system that helps merchants to view their consumer's shopping list, preferred stores, buying habits and social media activities.

Proposed patent is a method, system and software applications (web & mobile) for consumer discovery and offer delivery to the most accurate consumers. The sales conversion rate is always higher than any other solution prevailing in the market today.

Patent Description

The invention relates to software application for retail merchants and how data is processed by application to accurately target consumers, and in particular, an algorithm to process data components to make better decisions for sending offers and discounts.

Today there are several methods opted by merchants for sending out offers , discounts and coupons to consumers. All the methods belong to mass delivery of benefits to large audience without any accuracy in the targeting the end users. Existing systems factor in user's location and check-in history for targeting offers to consumers. In order to make the retail business more profitable, and competitive, any benefit(s) from merchants and retail stores has to be targeted to the most potential consumers. To accomplish this, software driven merchant systems has to consider factors like end consumer's shopping list, location, preferred shops, social network activities and buying history and then identify the highly potential consumers for targeting offers and discounts.

To introduce high level of accuracy in identifying the end users, merchant software systems has to be redesigned (or a new system to be built) to consider disclosed parameters. System should be aware of consumer's shopping needs, where they are located at any point and which stores they prefer to visit. These data points when combined with end user's social networking activities (likes, +ls, comments etc) and past buying habits will help to resolve the long standing problem of lack of accuracy in consumer targeting for offers and discounts.

Claims

Claims Claim 01 - Web application for retail merchants to view their potential customers and their relevant data A software application that can be used to view consumers along with their shopping list, location, preferred stores, social media activity and buying habits. Details Claim 01 Software application that uses technology to show customer's intent to buy an item, their location, and preference of visiting a store. Merchant can view list of consumers, what they want to buy, where they are located, their past buying habits (like brand, store preferences) and brands/product preferences derived from their social medial activities. Claim 02 - Web application for retail merchants to select consumers, design offers and send it to the selected consumers Details Claim 02 Application for filtering and selecting consumers from the list, an offer designer component with templates and a mechanism to send offers to consumer mobile devices. Fig. 1 shows the proposed merchant application interface. Claim 03 - Mobile application for consumers to set their shopping list and preferred stores, view offers and make payments to accept the offers Details Claim 03 Consumers can add products to their shopping list and set their favourite stores anytime, anywhere. Based on this and other system collected data (social media activity, buying habits, shopping history, location), merchant can trigger offers notifications to mobile application using the proposed merchant system. Fig 2. depicts proposed system components