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PerceptiStore: an AI driven intelligent shopper

bracu.type.groupStudent Works
dc.contributor.advisorDofadar, Dibyo Fabian
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-09-02T09:18:27Z
dc.date.available2025-09-02T09:18:27Z
dc.date.copyright2025
dc.date.issued2025-06
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 46).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2025.en_US
dc.description.abstractThe PerceptiStore: An AI driven Intelligent Shopper project uses advanced AIpowered personalization to improve the online shopping experience. AI-driven personalisation has emerged as a key factor influencing the direction of e-commerce in the current digital environment. Personalized shopping experiences make a difference by customizing information, recommendations, and offers to individual interests, allowing customers to navigate a wide sea of products and possibilities. Beyond merely suggesting products, AI personalisation leverages user behavior, previous exchanges, and purchase trends to anticipate customer needs before they ever become aware of them. Additionally, AI is able to generate highly relevant recommendations that increase the probability of repeat purchases by combining behavioral data with purchase history. This degree of customisation makes the buying experience efficient and pleasurable, which not only increases sales but also cultivates consumer loyalty. E-commerce personalisation fosters closer ties between companies and their clients by providing a feeling of individualized care in an otherwise congested online market. Ensuring security and privacy is essential as AI analyzes more and more personal data. Finding a balance between protecting sensitive information and providing individualized experiences is a challenge. In the end, AI personalisation signifies a profound change in the way that companies and customers communicate, making ecommerce a more dynamic, responsive, safe, and customized experience that meets each user’s specific demands.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityNazia Islam
dc.format.extent46 pages
dc.identifier.otherID 24341083
dc.identifier.urihttp://hdl.handle.net/10361/26640
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission
dc.subjectArtificial intelligenceen_US
dc.subjectPersonalized shoppingen_US
dc.subjectE-commerceen_US
dc.subjectUser demanden_US
dc.subjectConsumer loyaltyen_US
dc.subject.lcshArtificial intelligence.
dc.subject.lcshElectronic commerce.
dc.subject.lcshConsumer satisfaction.
dc.subject.lcshCustomer loyalty.
dc.titlePerceptiStore: an AI driven intelligent shopperen_US
dc.typeThesisen_US

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