Table 1

Applications of AI for SCM

AI approachApplication in SCMDescription
Machine learning (ML)Demand ForecastingPredicts future demand based on historical data, improving inventory management and reducing waste
Natural language processing (NLP)Supplier Relationship Management and Employee trainingAnalyses communication data to enhance supplier interactions and negotiations
Robotic process automation (RPA)Order Processing and FulfillmentAutomates repetitive tasks such as order entry and tracking, increasing efficiency and accuracy
Computer visionQuality ControlInspects products for defects using image recognition, ensuring high quality standards
Predictive analyticsRisk ManagementIdentifies potential risks in the supply chain and suggests mitigation strategies
Optimization algorithmsRoute Planning and LogisticsOptimises delivery routes to reduce transportation costs and improve delivery times
ChatbotsCustomer ServiceProvides instant responses to customer inquiries, improving service levels and satisfaction

Source(s): Based on Durach and Gutierrez (2024), Hendriksen (2023) 

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