AI and Data Analytics in Supply Chain Management | Trajlon Group

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Artificial Intelligence and Data Analytics in Supply Chain Management

Course Type

Short Course

Category

Procurement

Duration

5 Days

Ratings

Training Objectives

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Course Overview

Elevate learners’ expertise with our in-depth course tailored for professionals ready to embrace next-generation technologies in supply chain operations.

As global supply chains grow increasingly complex, integrating artificial intelligence is no longer optional—it's essential.

This course focuses on leveraging Artificial Intelligence (AI) and Data Analytics to improve supply chain visibility, resilience, efficiency, and decision-making.

Learners will explore tools and techniques such as machine learning, predictive analytics, natural language processing, and optimization, with real-world supply chain applications.

Target Audience

Supply chain managers Logistics professionals Procurement specialists Stores and warehouse managers Operations managers IT professionals involved in supply chain analysis Individuals interested in the intersection of AI and supply chain

Course Outline

Overview of Supply Chain Management functions Evolution and impact of AI and data analytics in SCM Data-driven decision-making in supply chains Types and sources of supply chain data (structured/unstructured)

Descriptive, diagnostic, predictive, and prescriptive analytics Data collection, cleaning, and preprocessing Exploratory Data Analysis (EDA) Key metrics and KPIs in supply chain analytics

Types of AI: ML, NLP, computer vision, RPA Supervised, unsupervised, and reinforcement learning Model evaluation and performance metrics Tools: Python, R, TensorFlow, Scikit-learn (introductory)

Time series forecasting techniques (ARIMA, LSTM) Predictive analytics in demand planning AI for dynamic inventory management Real-world examples and mini projects

Spend analysis and supplier segmentation Fraud detection using anomaly detection models NLP for contract analysis and supplier communication AI in supplier selection and risk assessment

Route and load optimization using AI Real-time tracking and ETA prediction Prescriptive analytics for transportation planning Simulation and digital twin technology

IoT and sensor data in SCM Big data platforms: Hadoop, Spark, cloud-based solutions (AWS, Azure) Real-time analytics and streaming data Scalability and architecture in data-driven SCM systems

NLP for demand sensing, sentiment analysis Chatbots in SCM communication Computer vision for defect detection and visual inspection Robotic Process Automation (RPA) for repetitive tasks

Data privacy and cybersecurity in supply chains Bias and fairness in AI models Regulatory compliance (e.g., GDPR, CCPA) Change management and organizational readiness

Upon completion of this training, participants will be able to:

Understand the Fundamentals of AI in Supply Chains Analyse and Apply AI Across Key Supply Chain Functions Utilize AI for Data-Driven Decision-Making Optimize Operations Using Predictive and Prescriptive Analytics Explore AI-Powered Automation in Warehousing and Logistics Improve Procurement and Supplier Management Through AI

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Download this comprehensive brochure to explore the course overview, discover the key skills and knowledge you will gain, and review the detailed course outline – all conveniently accessible offline. Feel free to share this informative resource with colleagues and others who may benefit from this learning opportunity.

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Duration:5 Days
Modules:9
Traininglive classes
Group discount:Yes
Language:English

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