PerceptiStore: an AI driven intelligent shopper
| bracu.type.group | Student Works | |
| dc.contributor.advisor | Dofadar, Dibyo Fabian | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2025-09-02T09:18:27Z | |
| dc.date.available | 2025-09-02T09:18:27Z | |
| dc.date.copyright | 2025 | |
| dc.date.issued | 2025-06 | |
| dc.description | Cataloged from PDF version of thesis. | |
| dc.description | Includes bibliographical references (page 46). | |
| dc.description | This 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.abstract | The 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.degree | Bachelor of Science in Computer Science and Engineering | |
| dc.description.statementofresponsibility | Nazia Islam | |
| dc.format.extent | 46 pages | |
| dc.identifier.other | ID 24341083 | |
| dc.identifier.uri | http://hdl.handle.net/10361/26640 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC 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.subject | Artificial intelligence | en_US |
| dc.subject | Personalized shopping | en_US |
| dc.subject | E-commerce | en_US |
| dc.subject | User demand | en_US |
| dc.subject | Consumer loyalty | en_US |
| dc.subject.lcsh | Artificial intelligence. | |
| dc.subject.lcsh | Electronic commerce. | |
| dc.subject.lcsh | Consumer satisfaction. | |
| dc.subject.lcsh | Customer loyalty. | |
| dc.title | PerceptiStore: an AI driven intelligent shopper | en_US |
| dc.type | Thesis | en_US |