Data-Driven Decision Making in Supply Chain Management

Kenneth Goga Riany ()
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Kenneth Goga Riany: UNICAF University

A chapter in Pedagogical Case Studies in Purchasing and Supply Management, 2026, pp 365-385 from Springer

Abstract: Abstract In today’s fast-moving world, businesses continue to face constant pressure in maintaining efficient supply chain operations. From sourcing the right suppliers, inventory management, ethical sourcing, emerging and disruptive technologies. The challenges are numerous, but what if data and analytics could help solve these problems? This case study analyzes how organizations can leverage on real-time insights, predictive analytics, and advanced modeling to tackle critical supply chain challenges like fostering stronger supplier relationships, optimizing inventory, and integrating sustainability into procurement. By analyzing trends and risks, organizations can make smarter decisions while balancing environmental, social, and governance (ESG) concerns. Students will appreciate what it takes to set up a resilient, well-integrated supply chain one that not only operates efficiently but also adapts to disruptions. The insights are derived from public reports and industry data through which the fictional company AvantHavilla LLC is used to contextualize Data-Driven Decision Making in Supply Chain Management.

Keywords: Data-driven decision making (DDMM); Predictive analytics; Supply chain resilience; Sustainable purchasing and supply management (SPSM); Strategic sourcing (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-12235-3_20

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DOI: 10.1007/978-3-032-12235-3_20

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