• • Learn to identify patterns in supply chain behavior using Big Data tools.
  • Create virtual models to evaluate and select optimal supply chain strategies.
  • Explore Big Data sources and methods for analysis in supply chain and logistics.
  • Use Big Data insights for dynamic simulation and forecasting.
  • Focus on increasing market share, profitability, and cost reduction.
  • Improve real-time decision-making through predictive analytics.

• • Use Big Data tools to identify patterns in supply chain behavior.
  • Create virtual supply chain models to maximize profits.
  • Identify Big Data sources in supply chain and logistics.
  • Apply Big Data analysis methods for accurate forecasting.
  • Use Big Data insights for dynamic simulation and decision-making.
  • Focus on market share growth, profitability, and cost reduction.
  • Enhance real-time decision-making through predictive analytics.

• • Supply chain managers and directors.
  • Logistics and operations professionals.
  • Data analysts and business intelligence specialists.
  • Procurement and inventory management teams.
  • IT professionals supporting supply chain systems.
  • Consultants specializing in supply chain optimization.
  • Business leaders seeking to leverage Big Data for competitive advantage.

The course combines interactive lectures, hands-on workshops, and real-world case studies to ensure practical learning. Participants will engage in group discussions, data analysis exercises, and simulation modeling. Facilitators will use a mix of presentations, Q&A sessions, and collaborative activities to provide both theoretical knowledge and actionable skills.

Day 1: Introduction to Big Data in Supply Chain

• • Overview of Big Data and its relevance to supply chain optimization.
  • Key Big Data sources in supply chain and logistics.
  • Introduction to Big Data analysis tools and techniques.
  • Case study: Identifying patterns in supply chain behavior.

Day 2: Big Data Analysis and Forecasting

• • Methods for analyzing Big Data in supply chains.
  • Using Big Data for demand forecasting and inventory management.
  • Hands-on workshop: Analyzing supply chain data sets.
  • Group activity: Forecasting supply chain trends.

Day 3: Virtual Supply Chain Modeling

• • Creating virtual models of supply chains.
  • Evaluating alternative strategies for profitability.
  • Hands-on session: Building and testing supply chain models.
  • Case study: Selecting the optimal supply chain strategy.

Day 4: Dynamic Simulation and Real-Time Decision-Making

• • Using Big Data insights for dynamic simulation.
  • Improving real-time decision-making with predictive analytics.
  • Workshop: Simulating supply chain scenarios.
  • Group discussion: Addressing real-time supply chain challenges.

Day 5: Driving Business Value and Implementation

• • Focusing on market share growth, profitability, and cost reduction.
  • Developing actionable plans for supply chain optimization.
  • Final presentation: Participants present their optimization strategies.
  • Q&A and feedback session.

BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration