The Power of Big Data Analytics and Machine Learning in Supply Chain Management

1. 84% - The percentage of executives working in Supply Chain or Logistics who think that Big Data will have a significant impact on their company's performance. 84% 2/3 - The number of Supply Chain Executives who are currently Implementing or considerring Big Data Projects. Ways Machine Learning is Revolutionizing Supply Chain Management By 2025, Artificial Intelligence(AI) techniques will take over 50% of the all supply chain technology solutions. 70% of companies with well-optimized Supply Chains will achieve higher revenue growth. Effective Demand Forecasting ML creates forecasts for New Product Introduction (NPI). ML reduces time- consuming adjustments and recalibrations. 45% of business use ML automation to augment demand forecasting. ML creates 10% forecast accuracy for product with a short life cycle. ML improves forecast accuracy by 5% to 15% for individual products. Reducing Freight Costs 2 3 1 Reduction in freight maintenance cost and response time by up to 10%. Improved supplier Delivery performance. Minimized supplier risks. Finding New Patterns via IoT Sensors 01 02 03 Analyses Machin- derived data with casual factors influencing machinery performance. Leads to an accurate measure of Overall Equipment Effectiveness (OEE). Ensures a high-performing Supply Chain process. www.tntra.io Engineering | Ventures | Incubation