Overview

Using AIP, Operators can create optimized schedules and continuously reoptimize operations as disruptions occur. Users create optimized production schedules across plant networks by integrating source systems including ERP, MES, PLM, unstructured customer requests and invoices. With AIP, operators can more proactively manage order changes, considering factors like OTIF, COGS, energy, and emissions, all while capturing operator feedback for continuous improvement and enhanced network resilience.

Features

• Enhanced Production Scheduling: Gain a real-time perspective of operational timelines and constraints, coupled with unstructured customer requests. Empower operators to identify and address potential disruptions promptly, preventing significant deviations from the schedule and avoiding delays.
• Harnessing Tribal Knowledge: Augment enterprise source systems by incorporating unstructured data from standard operating procedure documents, operator interactions, equipment guides, and more. Streamline processes and reduce the time operators dedicate to manual problem-solving.
• Agent Feedback Loop: Continuously improve AI recommendations by capturing feedback and knowledge about customer order priority, production constraints, operating procedures, and more, from operators. AIP enables feedback checks and governance to ensure continued process improvement and prevent incorrect information being captured for recommendations.