Lisa AI: The Future of Material Planning Starts Today
Welcome to the era of intelligent material planning! Today, we celebrate the official launch of Lisa AI, the AI-powered solution that is redefining material planning.
Why is material planning changing?
We are currently witnessing a fundamental shift towards agentic AI—technology that doesn't just handle isolated tasks but will soon manage entire processes or even entire value streams. This evolution makes material planning increasingly agentic. What exactly does this mean? Let’s take a look at the three-phase model:
- Today: AI coworkers take on individual tasks within existing value streams.
► Example: Lisa classifies emails in material planning and generates response suggestions, allowing material planners to focus on more important tasks. - Tomorrow: AI coworkers manage entire processes and roles.
► Example: Lisa autonomously handles material requirements planning, adjusting order quantities and delivery schedules automatically. - The Day After Tomorrow: AI coworkers autonomously control operational value streams.
► Example: Fully automated supply chain planning with minimal human intervention—seamlessly managing everything from order to delivery.
This development shows that we are no longer just talking about assistance systems but about digital colleagues who make independent decisions and manage processes.
Why Lisa?
In a world where supply chains are becoming increasingly complex and material shortages are forcing companies to rely on stockpiling, there is often too little time for strategic priorities. This is where Lisa comes in: She takes over routine tasks, optimizes processes, and ensures that material planners can focus on what truly matters—strategic decisions instead of endless spreadsheets.
What can Lisa do?
Lisa is more than just another software tool—she is a true AI coworker for the digital age. She integrates seamlessly into existing workflows, connects with ERP systems like SAP, and performs the following tasks:
- Automated material planning: Lisa ensures material availability by autonomously planning individual materials or material groups such as raw materials.
- Supplier management: Early detection of bottlenecks and proactive communication.
- Inventory management: MRP is only as good as its parameters and master data. Lisa continuously optimizes the parameters of the materials she manages.
- Deadline tracking: Automatic follow-ups and reminders for supplier orders and deliveries.
- Process automation: Material planners can achieve more thanks to agentic automation within existing processes—without large-scale transformation projects or new planning software.
30% Less Planning Effort—And This Is Just the Beginning!
In initial pilot projects, Lisa has already proven her capabilities: a 30% reduction in manual planning efforts, improved inventory management, and fewer bottlenecks. Companies report that with Lisa, they can achieve more—with the same resources.
How Lisa Enhances “Doing the Work” Along the Operational Value Stream
The enormous advantage of using Lisa efficiently in processes can be measured by the following criteria:
- Reduced lead times through proactive 24/7 action.
- Reliability through high process conformity.
- Utilization of existing customer tools or introduction of new tools to enhance task execution.
Value stream diagrams are an excellent way to illustrate some of these aspects and highlight Lisa’s impact.
Plug & Play—No Months-Long IT Projects!
Another advantage: Lisa is ready to use immediately. No complicated setup, no endless training sessions. Within minutes, Lisa is active in your company and starts optimizing processes. This means you don’t have to wait months for results—you benefit from efficiency gains right away.Lisa is not just another AI—she represents the future of material planning and exemplifies the new generation of agentic AI. With every new application, we learn more about the potential that these digital colleagues can unlock: from intelligent assistance (today) to managing complex roles (tomorrow) to autonomously controlling entire value streams (the day after tomorrow).Are you ready to take the next step toward autonomous material and supply chain planning? Then get in touch with us today and let’s shape the future together!
Conclusion:
- AI coworkers like Lisa AI represent a paradigm shift in operational value creation.
- They don’t just handle individual tasks but evolve into autonomous decision-makers.
- Thanks to Plug & Play implementation, entering the future of material planning has never been easier.
The future has already begun. Be part of it!
