Automatic Retail Invoicing and Recommendations

The goal of this research paper is to make today’s computing systems to sense the presence of users at some place and their current states. This research paper further may exploit present context information of users and help people to get current context services as per the preferences and current needs like giving current discounted product details (they wish to buy) and giving personal recommendations like a movie, trending clothes in the market, significant particulars in a warehouse about product purchases. The realized implementation of suggesting particular services by warehouse server is done by studying user profile, analyzing user behavior and user purchase history. It was found out after taking Zadeh’s fuzzification equation in the process that clothes should be taken extra large for a person, and probability is found out to be 78% true in all cases except some conditions of person having weight less than 76.5 kg (middle clothes preferred) and also age less than 11 years (small clothes preferred in this case).

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