PerceptiStore: an AI driven intelligent shopper
Citation
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.
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Description
Cataloged from PDF version of thesis.
Includes bibliographical references (page 46).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2025.
Includes bibliographical references (page 46).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2025.
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Thesis