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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM22434
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
To glean insights and practical advice, the study combines data analysis methods like statistical analysis, data visualisation, and machine learning. The grocery store chain can implement these suggestions to optimise their inventory, enhance customer satisfaction, and boost profitability. According to the analysis’s findings, sales performance varies significantly between various departments and product categories. The study also shows that some products are continuously well-liked by consumers and that specific seasons of the year tend to see increased sales. The report also emphasises how crucial it is for supermarkets to comprehend consumer behaviour and preferences in order to better cater their products and marketing initiatives to the needs of their clientele.
KEYWORDS
Publication Date
6/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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