Pei Rou Ong
In response to the outbreak of covid-19, many countries have enforced lockdown policy to prevent further spread of the virus. The unpredictable nature of pandemic has compelled people to start hoarding groceries out of fear of food shortage. The aim of this study is to detect customer’s purchasing pattern especially on the dried processed grocery products after outbreak of covid-19 to observe the occurrence of different products in customer’s shopping basket. About 590k records of transactional data dated from January to October 2020 was collected from 810 freshmart, a local supermarket chain based in Kuala Lumpur, Malaysia. Overall grocery sales have surged after announcement of lockdown as the people cannot risk going out that often, hence they chose to hoard imperishable necessities. People would randomly buy products of different brands due to stress purchasing as weird purchasing pattern were identified from the transactional data. In addition, the results obtain from association model are proved to be satisfactory based on the rules of confidence and lift which showed significant. Therefore, the retailers are able to take advantage of this recommended rules on their promotions to increase their sales.
Pei Rou Ong
Background
Descriptive Analysis
Association Analysis
Implications of grocery purchasing and eating habit
Purchasing patterns for different types of dried food groceries
Presentation
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