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Enabling on demand store actions during social networking

IP.com Disclosure Number: IPCOM000243780D
Publication Date: 2015-Oct-16
Document File: 2 page(s) / 48K

Publishing Venue

The IP.com Prior Art Database

Abstract

Today social commerce is limited to user generated advertorial content on e-commerce sites and to include collaborative e-commerce tools that enable shoppers "to get advice from trusted individuals, find goods and services and then purchase them". With the help of natural language analysis and e-commerce framework integrated with social networking sites/applications we can certainly find the conversation or group discussing on products/holiday trips/events coming up etc.... The proposal here is to come up with on demand shopping actions on the fly based on social networking user/group activities rather than just side displaying advertisements . This is to have an in built commerce platform with social apps / sites to generate on demand e-commerce actions based on e-commerce activities on the social platform .

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Enabling on demand store actions during social networking

The proposal is to have an in built commerce platform with social apps / sites to generate on demand e-commerce actions based on e-commerce activities on the social platform .

Example :
When two friends are discussing on a xxx product they already bought . A review button displays with xxx products or a suggestion/recommendation button comes with products for his friends list When two friends are discussing about buying xxxmodel cellphone . A buy /compare action displays. When a event comes up in the profile like birthday an offer button comes up with user interested

product etc etc ...

When a user creates a wish list in his profile an offer display comes up ...

An in built commerce platform in social application with natural language analyzer for e-commerce

patterns and to generate appropriate e-commerce actions in social applications.

Advantages :

Basically rather than over advertising or side advertising with ads this will be an in built capability which turns up during e-commerce related activities .

An e-commerce built in social networking platform with natural language analyzer will help retailers to have a new platform to sell .

Representation Diagram :

Implementation :

Natural Language analyzer will be integrated with social platform to analyses any e-commerce related activities .

Each activities are mapped to patterns which in turn maps with one of the below actions

Buy

Sell

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