A solution accelerator is a set of artifacts and templates for a pre-built, customizable solutions to common problems. Start training an agent immediately or use the accelerator as a learning tool before building a custom logistics solution from scratch.

Solution accelerators are designed to solve specific logistics optimization problems and provide all the components necessary for a custom reinforced learning solution:

• A new workspace created in the cloud subscription of your choice.
• A pre-designed, customizable simulation model that provides a virtual environment for the AI Agent to learn in.
• A virtual machine (VM) created under your cloud subscription that you can use to run a simulation model.
• A Jupyter Notebook designed to build AI Agent to solve the associated optimization problem.
• Assess trained AI Agent
• Export AI Agent & explore predictions

Solution accelerators are also fully customizable so you can tailor the simulator and Jupyter Notebook to your unique business needs and systems.

Solution accelerators are categorized according to the associated industry segment. Accelerators with the potential for cross-industry application are included under all relevant industries.

Reinforcement learning algorithms are able to understand and respond to dynamic environments, and their decisions can be game-changing for businesses operating complex distribution networks.