To draw a comparison, automotive GPS units let you choose a destination and subsequently guide you with real-time directions or warn you if you deviate off course. Similarly, Adexa eGPS provides you a global, unified, synchronized view of supply, demand, capacity, and performance metrics. Just like an autonomous vehicle, if issues arise in the supply chain operation, then the events are interpreted by Intelligent Agents and corrective actions are taken to modify or re-plan to ensure on-time delivery at the lowest cost of operation.
Effectively, Adexa eGPS helps you define your destination and ensures that all operational and supply chain planning decisions are aligned with your corporate goals. To ensure you will arrive at your corporate destination, eGPS provides and monitors hundreds of out-of-the-box key performance indicators (KPIs) to measure your progress. These KPIs can warn you if you deviate off course by notifying stakeholders of any significant event. More importantly, they system recognizes trends and patterns of behavior (past or future) of various KPIs and takes corrective actions or informs the relevant users.
With Adexa eGPS, you always know where you stand and what you need to do to move forward with speed, confidence, and success. That means you can expand market share, increase return on capital, strengthen supplier and customer relationships, and create a truly agile enterprise.
Using Adexa’s Digital Blueprint© methodology, our clients have the roadmap and ability to get to Gartner’s stage 5 maturity, the highest, in their supply chain operations.
The first diagram on the right illustrates how Adexa High Level Planning and low-level execution plans are embedded within one environment. Each layer adds more detail and narrows the search for the optimal plan based on the guideposts from the layer above. The underlying model is always the same, only the detail changes. The Digital Blueprint is the roadmap to go from higher levels of abstraction to lower level planning and vice versa
The illustration on the left depicts how the architecture fits into an environment of distributed intelligent agents, called Genie, that sense, act and learn based on incoming events. They interact with users and the rest of the system to continuously plan and optimize. The illustration also depicts the intelligent layers for user interaction and explanation of issues observed or expected.