AI-Driven Predictive Analytics for Supply Chain Resilience, Financial Risk Management, and Digital Marketing Strategy: A Unified Business Intelligence Framework
The arrival of artificial intelligence and big-data analytics at scale has begun to redraw the strategic map of the modern enterprise. Three areas sit close to the center of that change: how firms manage their supply chains, how they assess financial risk, and how they think about digital marketing. Each has its own substantial literature, yet the three are seldom examined together inside a single, properly governed analytical architecture. This paper sets out to close that gap. We develop and empirically valida…
In benchmark experiments reported by May 2026, the unified framework increased supply chain disruption-prediction accuracy to 94.1%, reduced demand-forecast error, and raised marketing campaign ROI from 14.2% to 45.3%.
Framework validation is limited to benchmark experiments and literature synthesis, with 12 research gaps remaining including geographic generalizability and regulatory-grade explainability.
Evidence
- Peer-reviewedJournal of Business and Management Studies2026-05-12
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Truvace Impact Record TRV-2026-0134, v1: “AI-Driven Predictive Analytics for Supply Chain Resilience, Financial Risk Management, and Digital Marketing Strategy: A Unified Business Intelligence Framework.” Truvace, 2026-07-13. /record/TRV-2026-0134 (accessed at citation time). sha256 4bf851cf5b8848cf…
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