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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46883

A Review on Optiflow AI: Optimized Workflow and Predictive Analytics

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46883

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem46883

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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YC

Y.D. Choudhari

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Abstract

OptiFlow AI is a digital transformation initiative aimed at optimizing workflow and predictive analytics for an electronic manufacturing company. The project integrates AI-driven analytics with real-time monitoring and automated inventory management to streamline operations, enhance inventory tracking, and maximize profitability. By addressing inefficiencies in micro-management, inventory control, and delivery delays, OptiFlow AI creates a unified digital ecosystem that enables predictive forecasting of sales and profits. Leveraging advanced technologies such as AI/ML, SQL, Power BI, and web scraping, this solution ensures data-driven decision-making and smart resource allocation for improved operational efficiency and financial performance.

KEYWORDS

AI-Powered Analytics Workflow Optimization Predictive Analytics Digital Transformation Inventory Management Profit Maximization Process Automation Real-time Monitoring Machine Learning (ML) Supply Chain Optimization Data-Driven Decision Making Predictive Maintenance Operational Efficiency Smart Resource Allocation Quality Control Automation

Cite This Article

Y.D. Choudhari, "A Review on Optiflow AI: Optimized Workflow and Predictive Analytics," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem46883

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Publication Date

5/4/2025

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Double-Blind Peer Review

Review Rounds: 2

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

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