AI Agent-Driven Supply Chain Resilience and Optimization in Retail and Paint Manufacturing
Keywords:
Agentic Artificial Intelligence, Supply Chain Resilience Management, Hybrid Agentic AI Framework, Resilience Engineering, Adaptive Decision-Making Systems, Autonomous Problem Solving, Collaborative AI Agents, Demand Supply Network Optimization, Disruption Risk Mitigation, Inventory Cost Optimization, Stockout Reduction, Service Level Optimization, Semi-Structured Decision Support, AI Safety and Accountability, Human–Agent Collaboration, Resilience Strength Metrics, Intelligent Supply Chain Systems, Proactive Disruption Management, Multi-Agent Orchestration.Abstract
Disruptions in supply chains cause severe
financial losses, necessitating exploration of Agentic AI solutions
for Supply Chain Resilience Management. Agentic AI differs
from traditional automation, offering innate problem-solving,
adaptive-learning, and collaborative capabilities. Enabling
Agentic capabilities in supply chain systems can enhance
Resilience Strength by supporting accurate decision-making
and expanding the range of explored solutions. Concerns
regarding safety, accountability, and over-trust in Agentic
systems need to be addressed. A Hybrid Agentic AI-Driven
Resilience Engineering Framework comprises a central
technology area for Resilience Strength and several application
areas for demand and supply networks. Scenarios for Retail and
Paint Manufacturing demonstrate expected contributions in
terms of inventory cost, stockout level, and service level
performance indicators.
Supply chain disruptions incur significant financial losses.
Agentic Artificial Intelligence AI with intrinsic problem
solving, adaptive-learning, and collaborative abilities has been
highlighted as a possible contributor to Supply Chain Resilience
Strength. Concerns over Agentic features such as safety,
accountability, and over-trust require exploration. Enabling
Agentic capabilities in supply chain systems can improve
Resilience Strength by facilitating precise decision-making
while broadening the spectrum of potential solutions. Agentic
AI departs from conventional automation by providing
appropriate support for semi-structured decision environments.
Supply Chain Resilience Management based on Agentic AI can
leverage these features to preemptively mitigate novice-level
disruption risk, fortifying the system’s ability to absorb,
respond, and recover from a wider array of causes and types of
disruption.
