Reducing cost by optimizing your supply chain [English] (GBL212-EN)
Reducing Cost Through Supply Chain Optimization
Global Current Challenges
Economic
COVID-19 pandemic's long-term effects on supply chain industry
Congestion in ports, shipping, and routes due to uneven demand recovery
Political instability, trade disputes, and Brexit impacting supply chain routes
Changing customer demands for faster delivery and sustainable/ethical products
Environmental
Stricter environmental regulations, such as the EU Green Deal
Carbon pricing policies to reduce greenhouse gas emissions
Sustainability pressures for end-to-end supply chain visibility
Operational
Scattered data across various systems, leading to lack of visibility and inefficient decision-making
Time and resource-intensive efforts to consolidate data for a comprehensive overview
Supply Chain Trends Across Industries
Healthcare
Explosion of remote healthcare and decentralized clinical trials
Complexity in temperature-sensitive and urgent product shipments
Difficulty in tracking expired or recalled products
Retail
Growing return rates, leading to significant losses for fashion industry
Retailers trying to manage returns through charges and data analysis
Manufacturing and Automotive
High complexity due to large number of parts (30,000+ for car makers)
Difficulty in tracking individual parts
Trend towards near-shoring to reduce dependency on distant suppliers
Strategies for Reducing Cost Through Supply Chain Optimization
Visibility
Real-time visibility into logistics, warehouses, and operations to monitor performance and track inventory
Improved Demand Accuracy
Accurate demand forecasting to avoid excess inventory or stockouts
Optimizing Inventory Levels
Managing inventory to meet customer demands, especially during peak seasons
AWS Supply Chain
Key Features
Dashboarding and analytics for real-time visibility
ML-powered insights to identify supply chain issues
Connects to existing ERP systems and ingests data into a supply chain data lake
AWS Supply Chain Insights
Alerts on the risk of overstocking or understocking specific products
Provides resolution recommendations, considering factors like distance, efficiency, sustainability, and shipping cost
Enables collaboration with teammates on rebalancing options
Amazon Q Integration
AI-powered assistant within the AWS Supply Chain console
Helps answer questions and provide guidance on supply chain operations
Case Study: Bauer Hockey
Faced supply chain challenges during the COVID-19 pandemic
Leveraged AWS Supply Chain to improve forecasting models by 10-15%
Benefited from increased supply chain visibility and planning capabilities
Your Digital Journey deserves a great story.
Build one with us.
This website stores cookies on your computer.
These cookies are used to collect information about how you interact with this website and allow us to remember you. We use this information to improve and customize your browsing experience, as well as for analytics.
If you decline, your information won’t be tracked when you visit this website. A single cookie will be used in your browser to remember your preference.