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Artificial Intelligence in - Operations / Supply Chain Management

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Objectives

Global operations and supply chains are under constant pressure to stay efficient, resilient, and cost-effective. This course is designed around how AI strengthens these areas through demand forecasting, predictive maintenance, and inventory optimization. The objective is to give professionals practical exposure to tools and models that reduce uncertainty, prevent disruptions, and keep supply chains running smarter and faster.



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Course Outcome

Master AI to enhance forecasting precision and inventory management efficiency. Implement predictive maintenance to significantly reduce downtime and costs. Operate real-time AI dashboards to drive smarter operational decisions. Integrate AI into ERP, WMS, and IoT ecosystems for full supply chain synchronization. Build resilient, responsive, and cost-effective supply chain operations. Champion AI transformation that accelerates operational excellence.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Contact Us
Ready to get started?
Let's chat.
info@mazenetsolution.com +91 9500929297
          +91 7397723052
Get In Touch With Us


Get Started Today

Course Preview

  • Trace AI’s evolution and its game-changing role in supply chain and logistics.
  • Understand core AI techniques like machine learning, deep learning, and optimization.
  • Discover how AI drives lean, responsive, and resilient operations.
  • Get an overview of major AI tools and platforms like AWS, Azure, GCP, SAP IBP, and Oracle SCM Cloud.

  • Compare traditional forecasting to AI-driven prediction methods.
  • Build time series forecasting models using machine learning.
  • Incorporate external data like weather and market trends.
  • Use tools like Prophet, XGBoost, and Azure ML’s AutoML platforms.
  • Hands-on: Create an AI-driven forecasting model with real sales data.

  • Decode machine failure patterns with AI.
  • Analyze sensor data for anomalies and get timely alerts.
  • Predict equipment health and risk of downtime.
  • Explore use cases in manufacturing, logistics, and utilities.
  • Use platforms like IBM Maximo and AWS Lookout for Equipment.
  • Hands-on: Build a predictive maintenance classifier.

  • Optimize safety stock levels and reorder points dynamically.
  • Plan multi-echelon inventory with AI algorithms.
  • Model demand sensing and lead time variability.
  • Integrate AI with ERP/SCM systems like SAP and Zoho Inventory.
  • Study AI-driven warehouse replenishment case.

  • Build data pipelines to power AI in operations.
  • Create real-time dashboards with AI recommendations.
  • Integrate AI into existing workflows and IoT setups.
  • Address governance and scalability in supply chain AI.

  • Develop predictive maintenance solutions for factory floors.
  • Develop predictive maintenance solutions for factory floors.
  • Build inventory optimization dashboards with Power BI or Tableau.
  • Present capstone projects showcasing AI impact.