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Shopping Cart Autofill

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dc.contributor.author Naseer, Naseef
dc.date.accessioned 2023-01-03T08:57:39Z
dc.date.available 2023-01-03T08:57:39Z
dc.date.issued 2022
dc.identifier.citation Naseer, Naseef (2022) Shopping Cart Autofill. BEng. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018522
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1241
dc.description.abstract Everyday vast number of transactions take place in Retail Business. Consumers do their purchase based on their own decision making. So, automating this decision making which is next shopping cart/basket prediction would be an interesting and challenging research. The consumer decision making of adding items to the cart is mostly based on their own need, wants and preferences. So, learning consumer transaction using AI would be good research project. There are works done related to recommending items to the consumer which is more generalized which is common to all consumers. But a personalized next shopping cart prediction would be a useful and practical application which can be implemented to ease customer shopping experience. This piece of work focusses on predicting Shopping cart of retail customers with items quantities by learning the customer’s past transactional data. This enables Retailers to know their customers next purchase and autofill their cart with Items and corresponding quantities. en_US
dc.language.iso en en_US
dc.subject Basket Prediction en_US
dc.subject Quantity Prediction en_US
dc.subject Personalized Shopping en_US
dc.title Shopping Cart Autofill en_US
dc.type Thesis en_US


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