Advances in Consumer Research
Issue:6 : 2090-2096
Original Article
Ai Based Smart Cart Optimizer
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1Asst prof / Department of CSE V.S.B Engineering College, Karur
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Asst prof / Department of CSE V.S.B Engineering College, Karur
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Department of CSE V.S.B Engineering College, Karur
Abstract

With rapid expansion of e-commerce, consumers often have difficulty selecting e-commerce products that provide a balance between product quality, price, and convenience. An AI-Based Smart Cart Optimizer Online would resolve this concern by using artificial intelligence in its decision-making process. The smart cart optimizer searches the selected products, and analyses price differences from different vendors, and makes suggestions to buy alternative product options that provide quality, but are affordable. The machine learning recommendation models also provide consumer preference predictions, optimize personalized bundle shopping choices, and most importantly let the consumer know in real time when a product goes on sale. The smart cart optimizer also notes delivery windows, inventory and availability, and product sustainability for practical and eco-friendly shopping choices. For supermarkets and grocery purchases, the shopping cart will even provide nutritional information so users can decide to purchase healthier options. The smart cart optimizer eliminates the need for manual price comparisons of several consumers and products, and therefore savings in time, cost, and improves the overall online shopping experience. Overall, this type of decision support intends to provide smart, fast and efficient online grocery and product shopping experiences

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