Logistics
Automate logistics decisions to optimize cost, service levels, efficiency and sustainability
Overcome the complexities of global shipping and transportation with real-time data and AI automation. Optimize transportation modes and routes for cost, service levels, efficiency and sustainability. Anticipate and manage disruptions—whether common issues like empty miles or unexpected events — ensuring seamless and cost-effective logistics operations.
Benefits
10%
CO2 Reduction
7%
Time Savings
2%
Transportation Cost Savings
Featured Skills
Balance logistics costs, service levels, and sustainability by optimizing transport modes and consolidating shipments to reduce stockout risks and emissions.
- UnderstandsEvaluates each customer order to find potential direct shipping routes that bypass intermediate stops.
- RecommendsAnalyzes customer orders and the pre-defined network to identify opportunities where a direct shipment can be more efficient than the existing route.
- Acts Suggests direct shipping routes from the factory to the customer warehouse, eliminating unnecessary stops for optimal cost and time efficiency.
- LearnsOptimizes outcomes from by learning from every decision to:
- - Reduce logistics costs.
- - Accelerate deliveries.
- - Reduce environmental impact.
Enhance logistics efficiency with dynamic route selection, enabling direct shipments that minimize costs and accelerate delivery.
- Understands Evaluates each customer order to find potential direct shipping routes that bypass intermediate stops.
- Recommends Analyzes customer orders and the pre-defined network to identify opportunities where a direct shipment can be more efficient than the existing route
- Acts Suggests direct shipping routes from the factory to the customer warehouse, eliminating unnecessary stops for optimal cost and time efficiency.
- LearnsOptimizes outcomes from by learning from every decision to:
- - Reduce logistics costs.
- - Accelerate deliveries.
- - Reduce environmental impact.
Proactively manage transportation disruptions by predicting delays and updating logistics plans, ensuring service continuity and reducing costs.
- UnderstandsManages potential service-level disruptions caused by ongoing transportation disruptions.
- Recommends Integrates data from TMS and planning systems to predict delays using data science and machine learning, based on the current disruption status and historical data.
- Acts Automatically adjusts shipment ETAs, notifies customers proactively about delays, and updates route-level lead times to reflect real-time conditions, ensuring seamless operations and customer satisfaction.
- LearnsOptimizes outcomes by learning from every decision to:
- - Increase revenue by preventing stock-outs.
- - Reduce costs by minimizing expediting actions.
- - Decrease effort across connected teams.
Key Decisions Needed
- How can we prioritize a high volume of exceptions to ensure the most critical issues are addressed first?
- What strategies can we implement to maintain service levels during unpredictable delays?
- How do we evaluate trade-offs between expedited shipments, revenue, and cost impacts to make the best decisions?
- What actions can we take to contain costs and eliminate waste through more effective stock movements?
How Aera Helps
- Aera prioritizes critical exceptions and automates urgent actions
- Predicts delays with machine learning, proactively managing disruptions
- Analyzes alternatives to guide optimal trade-off decisions instantly
- Real-time visibility of stock, recommendations and automation of stock movements
Key Decisions Needed
How Aera Helps
Aera prioritizes critical exceptions and automates urgent actions
How Aera Helps
Predicts delays with machine learning, proactively managing disruptions
How Aera Helps
Analyzes alternatives to guide optimal trade-off decisions instantly
How Aera Helps
Real-time visibility of stock, recommendations and automation of stock movements
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Related Resources
The Key to Unlocking Logistics Management Challenges: Decision Intelligence
As companies continue to invest in people and technology to transform logistics management, challenges still remain. Why is that the case?
2024 IL Market Research: Logistics IT Steps Up
IL’s annual report illuminates how companies are increasing supply chain technology investments to become more efficient and light up return-on-investment.
Sustainability Goals Uncover the Value of AI for Logistics Decisions
Circular economic designs are essential to reclaim plastics for reuse in our supply chains.