Inventory Management

Traditional systems often look at inventory in "silos" (e.g., Warehouse A vs. Warehouse B). An agentic engine views the entire network:

• Autonomous Transfers: If Smorgas detects a spike in demand at a specific regional hub, it can calculate the cost-benefit of an inter-node transfer versus a new production order and initiate the transfer paperwork automatically.
• Lead-Time Adaptability: If a specific shipping lane is experiencing delays, the Smorgas AI agent can "reason" that safety stock levels need to temporarily increase for that specific location and adjust the parameters in your WMS.

Managing "dead stock" is a major drain on capital. Smorgas AI proactively clears shelf space:

• Early Warning: Smorgas Agents identify products with slowing velocity long before they become obsolete.
• Execution: Instead of just flagging the item, the agent can trigger a multi-step workflow: notify the marketing team to start a promotion, suggest a discount percentage based on historical elasticity, or check if the stock can be returned to the vendor under existing contract terms.

Discrepancies between "system inventory" and "physical inventory" lead to failed orders and wasted labor.

• Root Cause Investigation: When a discrepancy is found during a count, Smorgas can autonomously "audit" recent transactions, looking for unposted receipts or shipping errors to suggest exactly where the inventory went missing. 
• Smart Cycle Counting: Instead of a random schedule, Smorgas directs staff to count high-value or high-discrepancy items based on real-time risk patterns. 

Smorgas Agentic AI can act as the bridge between your inventory needs and your suppliers' production schedules:

• Collaborative Replenishment: Smorgas can share specific inventory goals with a supplier's agent. If the supplier is short on raw materials, the two agents can negotiate a partial shipment or a substitution of materials that keeps your line running.
• PO Lifecycle Management: The agent doesn't just send a Purchase Order; Smorgas follows up on confirmations, tracks the shipment, and if a delay is detected, it automatically searches for the most cost-effective alternative to fill the gap.