Advanced Common Integrative, Intelligent, Customizable and Scalable Automated Logistics Environment (ALE) Framework

Our goal through this project is to demonstrate the feasibility and enterprise-wide benefits of Synesis7"s proposed approach for getting to an advanced common integrative, intelligent Automated Logistics Environment (ALE) planning, development, technology, integration, and deployment framework ("ALE Framework") solution. Establishing technical, operational, cost and commercial feasibility will be dependent on successfully providing an initial proof of concept model focused on Synesis7"s proposed Scalable Collaborative ALE (SCALE)/i3-based ALE Framework with its intelligent integration Manifold/i3 and Orchestrator/i3 technical approach representing the transparent ALE integration and navigation engine ("engine"). This engine is the critical technology enabler of a system of systems services-based enterprise-centric ALE Framework strategy. Key to the intent and success of this engine is our proposed phased research, design/prototyping, development, test and integration of intelligent adaptive-evolutionary genetic agent, distributed neural network, metadata environment, and dynamic algorithm technologies. Holistically, this technology approach in alignment with the other"integrative factors"will evolve into what Synesis7 defines as the genetic code of the ALE Framework Orchestrator integration and navigation engine. Synesis7"s proposed SCALE/3-based ALE Framework technical approach represents an enterprise-wide technology, system/application product, and politically neutral and agnostic solution.