Revolutionizing Supply Chain Management with AI Agents on DataBricks

The integration of artificial intelligence in supply chain management has revolutionized traditional operations through advanced automation and intelligent decision-making capabilities. The DataBricks platform enables the deployment of specialized AI agents - Procurement Policy Advisor, Quality Inspection Advisor, Sustainability Policy Advisor, and Goods Delivery Advisor - each addressing specific operational challenges while delivering measurable benefits. These agents leverage machine learning algorithms and predictive analytics to enhance procurement processes, quality control, sustainability reporting, and logistics operations. The implementation has significantly improved operational efficiency, cost reduction, and process optimization across diverse supply chain functions. The framework's modular architecture facilitates emerging technologies' continuous evolution and integration, positioning organizations for enhanced competitiveness in dynamic market environments.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-04-08
DOI
https://doi.org/10.32628/cseit25112710
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Revolutionizing Supply Chain Management with AI Agents on DataBricks

Pritam Roy
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Big Data and Business Intelligence
2.28
article

Revolutionizing Supply Chain Management with AI Agents on DataBricks

Pritam Roy
article en
1 citations

Abstract

The integration of artificial intelligence in supply chain management has revolutionized traditional operations through advanced automation and intelligent decision-making capabilities. The DataBricks platform enables the deployment of specialized AI agents - Procurement Policy Advisor, Quality Inspection Advisor, Sustainability Policy Advisor, and Goods Delivery Advisor - each addressing specific operational challenges while delivering measurable benefits. These agents leverage machine learning algorithms and predictive analytics to enhance procurement processes, quality control, sustainability reporting, and logistics operations. The implementation has significantly improved operational efficiency, cost reduction, and process optimization across diverse supply chain functions. The framework's modular architecture facilitates emerging technologies' continuous evolution and integration, positioning organizations for enhanced competitiveness in dynamic market environments.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
Capgemini (United States) (US)
Openalex Percentile: Top 13%
Big Data and Business Intelligence
2.28
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Revolutionizing Supply Chain Management with AI Agents on DataBricks — Pritam Roy · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS