From Clicks to Carts: Developing an Autonomous E-Grocery Shopping System

Srivastava, Gaurisha R; Gera, Pooja; Goyal, Nishtha; Sharma, Arun; Rani, Ritu

doi:10.1109/conit59222.2023.10205810

Cited by 1 publication

(2 citation statements)

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“…They use shopping cart analysis methods to analyze customer purchasing behavior and patterns from various e-commerce platforms [11]. Srivastava et al (2023) have developed an automated e-grocery shopping system by utilizing the Apriori algorithm to suggest items to users based on their purchase history. This is an example of applying data mining techniques to improve the online shopping experience [12].…”

Section: Related Workmentioning

confidence: 99%

“…Srivastava et al (2023) have developed an automated e-grocery shopping system by utilizing the Apriori algorithm to suggest items to users based on their purchase history. This is an example of applying data mining techniques to improve the online shopping experience [12]. Koomsap et al (2023) presented a knowledge-based approach to managing retail stores and associated warehouses.…”

Section: Related Workmentioning

confidence: 99%

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Analysis of the Apriori Algorithm for Enhancing Retail Product Staple Sales Recommendations

Kurniawan,

Suwaryo

2023

ijsecs

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Products are fundamental commodities in the market that cater to various consumer needs and desires. This research employs the Apriori algorithm to generate product recommendations based on the analysis of high-demand patterns arising from product sales and association patterns. Specifically, we focus on identifying elevated sales in categories such as Bulk Products, Biscuits/Snacks, Drinks, Milk/Coffee/Tea, and Sauces & Spices during specific time intervals. The model's evaluation and validation entail measuring the Lift Ratio value, a key metric. In our assessment using the RapidMiner Studio application, we find that the Lift Ratio value equals 1. Consequently, our model asserts that combinations with a Lift Ratio value greater than or equal to 1 are deemed valid and beneficial.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%