OUR TECHNOLOGY

Data is collected and obtained from different warehouse operations. Complex operations can be captured and used to recognize patterns, regularities, and interdependencies from unstructured and structured data.  Data collected are analyzed to arrive at better and improved business strategies through the use of Data Science.

Machine learning algorithms are  implemented in Production systems and operations and supply chain so that they are able to anticipate situations, and solve problems efficiently. Thus, decisions are made in a short time.

Machine learning is use for real-time insights gathered at each touch point in the workflow, to improve inventory accuracy and improve outputs.  Activities can therefore be actively monitored, while anticipating the workflow and proactively recommending optimizations.

• Develop ethical guidelines  for AI development and use
• Develop Regulation and Policy that govern AI applications in industeries like healthcare and  transportation
• Allow for explanations of decisions, and provide transparency on developed models 
• Safeguard  privacy rights and use of data by AI systems.
• Addressing biases in AI algorithms and ensuring fairness in their outcomes
• Share best practices and address global challenges associated with AI

To determine lanes to be run at what volume to maximize equipment utilization and optimize warehouse storage. -

• Determine Transport routes and estimate margin impact for each route
• Estimate minimum volume of goods per week for each route to meet certain demands
• Estimate miles covered for finite amount of trucks
• measure performance and metrics