Transforming Production and Delivery Operations

Creating a new Order with Agentic AI

To optimize production planning and increase delivery reliability, the project team developed a multi-agent system that connects to dynamic data sources to enable real-time prioritization and automated, consistent production sequencing of orders. This established a robust foundation for more efficient, transparent, and scalable orchestration of the manufaturer’s delivery process.

Increasing Transparency

By using technologies such as Azure Databricks, OpenAI, and LangGraph, the AI agents established transparency across decision-making processes in the supply chain. This increased transparency provided actionable insights into key drivers of delivery delays, and enabled fast and easy root-cause analysis. On that basis, targeted measures (e.g., restocking, order reprioritization, production plan revision) could be defined to efficiently and sustainably improve on-time delivery performance.

Chat with your Data

To ensure intuitive access to the multi-agent system, the project team developed a flexible chat interface. This chat allowed production planners to retrieve integrated data and insights quickly, consistently, and independently of location, facilitating more effective production sequencing and a simpe “chatting” in human language with the orderbook.