Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Implying Association Rule Mining and Market Basket Analysis for Knowing Consumer Behavior and Buying Pattern in Lockdown - A Data Mining Approach

Version 1 : Received: 3 May 2021 / Approved: 6 May 2021 / Online: 6 May 2021 (15:14:25 CEST)

How to cite: Sinha, A. Implying Association Rule Mining and Market Basket Analysis for Knowing Consumer Behavior and Buying Pattern in Lockdown - A Data Mining Approach. Preprints 2021, 2021050102 (doi: 10.20944/preprints202105.0102.v1). Sinha, A. Implying Association Rule Mining and Market Basket Analysis for Knowing Consumer Behavior and Buying Pattern in Lockdown - A Data Mining Approach. Preprints 2021, 2021050102 (doi: 10.20944/preprints202105.0102.v1).

Abstract

Buyer practices have changed as individuals are figuring out how to live with the new truth of COVID-19. Take-out and conveyance orders have expanded, and our customer has added new items to their menu because of new client inclinations. With every one of the continuous changes, the customer had numerous unanswered inquiries, for example, Smartbridge has broad involvement with café innovation development Café TECHNOLOGY CAPABILITIES :Are the most famous items as yet unchanged after COVID? :Which are the most sold item blends now? :What is the acknowledgment of new things? :What are clients purchasing alongside new things? :How have liquor deals changed? The customer previously had reports that followed item deals and operational measurements, notwithstanding, there was a need to get a more profound knowledge into item examination. The customer expected to recognize what items and introductions were being sold all the more frequently, measure the acknowledgment of new items, and figure out what items clients buy together to improve advertising efforts, advancements, and deals. he E-business industry is filling immensely in the Indian market. The modest 4G web bundles in India clearly gives a push to these ventures. Thus, as Covid19 first hit in Quite a while, individuals got terrified to go out from their homes in light of the fact that, in their mind, it's a dread of Covid. They even wonder whether or not to go out to purchase fundamental (FMCG) products. Frenzy purchasing additionally has seen and to stay away from this dread of COVID-19, individuals are offering inclinations to the E-Commerce destinations to purchase fundamental products and a few clients are new which joined to purchase fundamental merchandise during this Pandemic Lockdown period. Numerous clients are moving their purchasing conduct from disconnected retail locations to online stores. This paper examines the customer buying pattern during lockdown.

Subject Areas

Market basket analysis; association rule mining; buying pattern; data mining

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