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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42929

Food Inventory Tracking System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42929

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42929

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

APW

Anjali P Waghmare1

DLR

Dr. Liladhar Rewatkar2

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Abstract

Efficient inventory management is vital in the food industry to minimize waste, ensure food safety, and optimize operational processes. Traditional methods of managing food inventory can be time-consuming and error-prone. Power BI, a powerful data visualization and business intelligence tool by Microsoft, offers advanced capabilities to streamline and automate food inventory tracking. This study explores the relationship between inventory management and control and performance and Food and Beverages companies [4]. By leveraging Power BI, businesses can design interactive dashboards that provide real-time monitoring of inventory levels, track expiration dates, forecast demand, and identify patterns that help reduce waste and optimize procurement processes. The system integrates data from various sources such as sales, procurement, and storage systems, providing a comprehensive view of inventory status. It also enables the generation of automated reports and insights, facilitating better decision-making and forecasting. Additionally, Power BI can be configured to provide timely alerts and notifications for low stock levels and expiring items, ensuring efficient inventory control and compliance with food safety standards. Overall, implementing a Food Inventory Tracking System using Power BI enhances data-driven decision-making, reduces operational costs, and promotes sustainability in the food industry. Nutrient profiles data are available used to collect and anaylze intake data [8]

KEYWORDS

Time Consuming Storage System forecasting Data Driven

Cite This Article

Anjali P Waghmare1, Dr. Liladhar Rewatkar2, "Food Inventory Tracking System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42929

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Publication Date

3/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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