Introduction to Genie^©

Having a composable architecture allows greater and easier extension of functions and features. This architecture enables a wider community of developers as well as users to tailor solutions specific to their needs and gain competitive advantage. At Adexa, there are several ways that this can be accomplished: using APIs, deploying a universal scripting language or through the use of Adexa Genies©. Using the latter technique, there are virtually no limits as to what business capability can be added to our solutions and more importantly having the ability to keep improving, the more the system is used.

Adexa deploys intelligent distributed agents, Adexa Genies^©, that can sense events, understand the impact, 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.