A European manufacturer with thousands of materials across multiple plants was spending more time investigating shortage alerts than resolving them. We built a command centre that assembles the full operational picture automatically and surfaces resolution paths at the point of decision.
Europe
Approximately $5B to $10B annually
Multiple production plants, thousands of materials, complex supplier dependencies across regions
Existing Palantir Foundry customer. This engagement delivered an additional operational use case on the existing platform
$1M to $2M in annual operational value
The Situation
Shortages are not unusual in manufacturing environments. What makes them difficult is not detecting them, but understanding their operational consequences before those consequences begin to cascade.
This environment involved multiple production plants, thousands of materials, and complex supplier dependencies across regions. A shortage rarely stays isolated. What begins as a missing component can quickly ripple through production schedules, customer commitments, contractual delivery timelines, and plant-level coordination.
The company had strong operational data across production planning systems, inventory systems, and supplier networks. The problem was that those pieces of context lived in separate environments. When a shortage alert appeared, planners had to manually reconstruct the situation across multiple tools before they could make a decision.
As a result, the majority of time was spent investigating shortages rather than resolving them. Decision speed and quality also depended heavily on who was handling the issue. The people who moved fastest were the ones with years of accumulated operational knowledge. That knowledge was valuable, but it created a bottleneck. Shortage resolution was not a governed system. It was institutional knowledge held by a small group of senior planners.
The Friction
Shortage alerts were triggered based on inventory conditions rather than operational impact. A missing component affecting a minor production order looked the same as one threatening multiple production lines or customer delivery commitments. Planners could not immediately see which shortages actually mattered.
Operational context was fragmented across systems. Production plans, inventory availability, supplier delivery data, and logistics information were all available but required planners to assemble the full picture manually. Because each planner reconstructed shortages independently, similar situations were often prioritised differently depending on who was handling them.
Most importantly, the investigation process consumed the decision window. By the time the full impact of a shortage was understood, the time available to respond effectively had often already narrowed.
The Process
This engagement expanded the company's existing Palantir Foundry environment with a Supply Chain Command Center dedicated to shortage resolution. Rather than building a reporting layer, the system was designed as an operational environment where shortage alerts translate directly into decision workflows.
Impact-based shortage prioritisation
What previously required hours of manual analysis across multiple systems now takes minutes. Planners begin with an impact ranked view and move directly into decision workflows. Leadership estimates $1M to $2M in annual operational value from faster resolution and reduced production disruption.
Unified operational context
When a planner opens a shortage, the system assembles the full operational picture automatically: affected production orders, customer commitments, alternate materials, supplier delivery options, and inter-plant inventory availability. Manual investigation across systems is eliminated.
AI-assisted resolution paths
The platform surfaces potential resolution paths using operational relationships and historical patterns. Recommendations include supplier expediting, material substitution, and inventory transfers between plants. These accelerate evaluation while keeping the planner in control of the final decision.
Governed decision workflows
Once a planner selects a resolution path, the decision moves through a structured approval process within the same system. Some substitutions require engineering validation. Large inventory transfers may require plant-level authorisation. Every decision is traceable and auditable.
Closed-loop execution tracking
The system tracks execution status across teams once a resolution path is chosen. Planners monitor each shortage from detection through resolution. Over time, this creates an operational dataset of shortages, decisions, and outcomes that strengthens AI-assisted recommendations and supports proactive supply chain planning.
The Outcome
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Day-to-day planning workflows became significantly more focused. Planners open a shortage and immediately see affected production orders, customer commitments, and possible resolution paths. The conversation moves from investigation to decision.
The system did not remove the need for strong planners. It made the reasoning process more accessible and repeatable. Planners with solid operational knowledge can now move faster because the system surfaces relevant context, alternatives, and decision paths in one place.