Agentic AI-Driven Smart Supply Chain Orchestration for Paint Manufacturing and Retail Ecosystems
DOI:
https://doi.org/10.15662/IJARCST.2026.0903012Keywords:
Intelligent agent, agent-based system, agentic sourcing, quality, compliance, traceability, supply chain orchestration, paint manufacturing, retail ecosystem, agentic artificial intelligence, agentic control, architecture, layer, demand sensing, store-level fulfillment, store-depot collaboration, omnichannel demand shaping, transparency, explainability, trust model, risk assessment, security, privacyAbstract
In modern supply chains, emerging technologies create unprecedented opportunities for organizations to operate smarter by better orchestrating end-to-end processes across their ecosystems Intelligent decision-making that spans across multiple functions such as fulfillment, manufacturing, sourcing, and inventory management can help achieve complex business objectives not possible at a function level. Fulfilling such objectives calls for traditional supply chain technologies to improve operational efficiency while overcoming limitations related to factors such as end-consumer demand, transit times, product demand patterns, and possible production non-compliance.
This scholarly work presents a comprehensive architectural framework to enable agentic orchestration of paint industry supply chain ecosystems. An agentic architecture orchestrates, in an optimized manner, processes that extend beyond the borders of the organization, with intelligent decision-making enabled through smart sourcing, supplier collaboration, quality and compliance management, and inventory optimization capabilities. While providing specific capabilities and technology requirements for paint manufacturing and retail ecosystems, the research contributes to the wider supply chain domain by defining agentic capabilities as smart decision-making that fulfills user-defined objectives based on constantly changing inputs and constraints
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