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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62767

Application of Business Analytics in Improving Managerial Decisions: Evidence from Supermarket Retail Stores

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62767

Volume:

10 |

5 |

May 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

Pradnya Gotpagar

Pradnya Gotpagar

Business Analytics

zeal institute of management and computer application

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APGD

Asst. Prof. Gayatri Deokate

Business Analytics

zeal institute of management and computer application

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RJ

Rahul Jindam

Business Analytics

zeal institute of management and computer application

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KK

Kartik Kongari

Business Analytics

zeal institute of management and computer application

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Abstract

The development of business analytics can be viewed as an essential tool for improving the quality and effectiveness of managerial decisions across companies operating in the retail sector. In particular, supermarkets can benefit significantly from business analytics because they generate considerable amounts of customer transaction data. Therefore, this study focuses on investigating the role and significance of business analytics in improving the quality of decisions made by managers working in retail supermarkets. The objective is to discuss the contributions of various types of analytics (descriptive, diagnostic, predictive, and prescriptive) to decision-making processes in inventory control, pricing, forecasting, sales, and other aspects of retail companies' operations. To achieve this objective, it was decided to apply a quantitative method and obtain information from both primary and secondary sources. Primary data were gathered through a survey conducted among managers and employees of various supermarkets. The obtained results show that business analytics can improve managerial decision-making processes because of its ability to provide real-time analysis, identify customer behaviour patterns, and improve forecasting.

KEYWORDS

Keywords Business Analytics Managerial Decision-Making Supermarket Retail Data-Driven Decision Making Predictive Analytics Inventory Management Customer Analytics Retail Performance Sales Forecasting Operational Efficiency

Cite This Article

Pradnya Gotpagar, Asst. Prof. Gayatri Deokate, Rahul Jindam, Kartik Kongari, "Application of Business Analytics in Improving Managerial Decisions: Evidence from Supermarket Retail Stores," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-9, May 2026.

Full Article/Conclusion

Business analytics is really important for making decisions in supermarket retail stores. It helps managers make decisions that are based on facts and data rather than just guessing. Business analytics is used for things like managing inventory, predicting sales, setting prices and understanding customers. This makes the store run smoothly and helps the business do better overall. Most people who were asked about business analytics think it is a thing, and it helps them make better decisions. Business analytics helps people make decisions faster. It makes the decisions more effective. It also makes customers happier, helps stores use their resources wisely, and makes money. This gives stores an edge over their competitors. Business analytics is a part of running a successful retail store, and it helps with business analytics and decision-making.

References

1.      Davenport, T. H. (2006). Competing on analytics. Harvard Business Review, 84(1), 98–107. 2.      Brynjolfsson, E., & Hitt, L. M. (2011). Strength in numbers: How does data-driven decision-making affect firm performance? MIT Sloan Management Review, 52(2), 1–10. 3.      Sharda, R., Delen, D., & Turban, E. (2014). Business Intelligence and Analytics: Systems for Decision Support (10th ed.). Pearson Education. 4.      Fisher, M., & Raman, A. (2010). The new science of retailing: How analytics are transforming the supply chain and improving performance. Harvard Business Press. 5.      Gupta, S., & Lehmann, D. R. (2005). Managing Customers as Investments: The Strategic Value of Customers in the Long Run. Wharton School Publishing. 6.      Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188. 7.      Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’ can make a big impact: Findings from a systematic review. International Journal of Production Economics, 165, 234–246. 8.      McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–68. 9.      Kumar, V., & Reinartz, W. (2016). Creating Enduring Customer Value. Springer. 10.   Laudon, K. C., & Laudon, J. P. (2018). Management Information Systems: Managing the Digital Firm (15th ed.). Pearson.  

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Publication Date

5/7/2026

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Double-Blind Peer Review

Review Rounds: 2

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