Perfecting the customer’s last mile delivery experience can be achieved by reducing logistics complexity and increasing efficiency, while controlling costs.
Anything related to artificial intelligence or machines learning.
Supply Chain Networks Revealed — Part 2C: Autonomous Supply Chain Networks
Supply Chain Networks are evolving to become increasingly autonomous, letting intelligent software agents make simple decisions.
The Case for Autonomous Long-Haul Trucking
Predictions for rollout of driverless cars have shifted from “before 2020” to “after 2030”. Here we explore the many reasons we will likely see driverless long-haul trucking in a hub-to-hub model well before driverless cars are plying our city streets.
AI/Machine Learning Use Cases for Supply Chain – Part Three: Getting Results
AI/ML has created radically new and different capabilities in supply chain solutions. This requires a rethink of the process of achieving results and value from those solutions.
AI/Machine Learning Use Cases for Supply Chain – Part Two: Demand Planning, Forecasting, Inventory Management
AI/ML has had a big impact on demand planning, improving forecast granularity and accuracy. It also has revolutionized inventory optimization, which has become ever more critical as companies increasingly push more inventory out to the edges of their distribution network and implemented hyper-local distribution strategies to meet ever more rapid delivery-time expectations.
AI/Machine Learning Use Cases for Supply Chain – Part One: Pricing and Promotion
We explore the use of AI and machine learning in optimizing pricing and promotions to reduce markdowns, increase sales and profit margins, and maximize various other objectives.
AI/Machine Learning for Supply Chain: Into the Future – Part Three
AI/ML requires a reimagining of the system development and adoption lifecycle. We discuss the move to a more agile approach, potential use of AI/ML for data cleansing, and the new skillsets and changing roles and responsibilities required.
AI/Machine Learning for Supply Chain: Into the Future – Part Two
We examine the potential for AI/ML in enabling an ‘always on’ business model via continuous planning and execution. As well, we look at how AI/ML is a foundation for autonomous supply chains.
AI/Machine Learning for Supply Chain: Into the Future – Part One
A discussion of how AI/ML can help companies become more resilient and deal with change and uncertainty.
AI for Supply Chain: Use Cases – Part Three
This article describes a ‘rethinking of AI’, looking at data first, establishing a hierarchy of data stores, ‘best fit’ capabilities, and reducing nervousness in supply chain decision making.
AI for Supply Chain: Use Cases – Part Two
We look at the use of AI for demand planning and forecasting, as well as inventory management and making MEIO (multi-echelon inventory optimization) work better.