- Identifying risks and inefficiencies in end-to-end order fulfillment due to fragmented tools, manual hand-offs, and complex product/service configurations
- Demonstrating how LLM-based diagnostic analytics can identify root causes and recommend resolutions using enterprise data from ERP, CRM, WMS, and other systems
- Enhancing order accuracy, site readiness, and inventory availability through prescriptive AI, including automated bill of materials generation
- Emphasizing the role of Agentic AI and human-in-the-loop feedback to ensure continuous process improvement, data security, and compliance
