Introduction to Genie©

Adexa deploys intelligent distributed agents, Adexa Genies©, that can sense events, act and learn from their experiences. They adapt to their environment by

  • self-correcting the representation of the physical supply chain to form a true digital twin,
  • self-improving policies and business rules,
  • self-optimizing the performance of the prescriptive algorithms.

Adexa Genies© are constantly looking for causes of issues such as lateness and cost increases as the seasons change, product mix changes and market demand fluctuates. They recommend actions such as optimal levels of safety stocks, optimal utilization of equipment, as well as how to avoid excessive use of substitute parts, unnecessary rush orders, and other inefficiencies in the operations such as unwarranted use of air freight. An example of a self-correcting action is auto adjustment of equipment capacities or supplier leadtimes that may vary over time or season. As another example, self-improving Genie monitors safety stock levels at different locations and learns the best policies for highest service levels. A self-optimizing algorithm learns how to avoid dead-ends while searching for a solution. Thus minimizing time to respond; hence enables re-planning in real-time continuously.

Secondary_Solutions_Self-correcting

Meet Genie©

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