Supply Chain

Traditional supply chain planning often relies on historical data and monthly cycles. Smorgas AI shifts this to real-time:

• Active Sensing: Smorgas Agents monitor social media trends, local weather patterns, and real-time POS data.
• Autonomous Adjustment: If a product goes viral, the Smorgas agent doesn't just send an alert; it can automatically adjust safety stock levels in the ERP and trigger replenishment orders from the nearest available warehouse.

Logistics is a high-velocity environment where minutes matter.

• Dynamic Re-tendering: If a carrier misses a pickup window, the Smorgas agent can immediately open a targeted re-tender to approved backup carriers to ensure the load moves the same day. 
• Proactive Tracking: Instead of human teams "track-and-tracing" shipments, Smorgas agents investigate early risk indicators (like a truck stalling at a border) and update the arrival of ETAs across all downstream systems. 

When a major disruption occurs (geopolitical shifts, natural disasters), Smorgas AI handles the complex "trade-off" math:

• Scenario Modeling: Smorgas can run hundreds, even thousands of "what-if" simulations in seconds to compare the cost of air-freighting critical components versus the cost of a factory line shutdown.
• Orchestrated Response: Once a strategy is chosen, the Smorgas agent can coordinate across departments — updating the production schedule, notifying the sales team of delay impacts, and renegotiating with logistics partners simultaneously.

During shortages, how inventory is distributed is critical to protecting margins.

• Constraint-Based Logic: Instead of "first-come, first-served," Smorgas agents allocate stock based on customer tier, contractual penalties, and margin impact. 
• Node Optimization: If one distribution center is overcapacity while another is empty, Smorgas can trigger inter-node transfers autonomously to balance the network.