Many companies use supply chain systems for planning, tracking, and fulfillment. As long as demand, inventory, and logistics follow expected patterns, execution runs automatically.

But as soon as exceptions occur – delays, shortages, rerouting decisions, penalties, or service-level breaches – automation stops and manual intervention is required.

AI can predict disruptions and recommend actions, but it cannot decide or execute.

With a BOB, companies define binding rules for when supply chain actions are allowed.

For example:

• Reroute shipments within defined cost and time thresholds
  
• Release inventory only if demand and priority rules are met
  
• Trigger penalties or service credits only if SLA conditions are fulfilled
  
• Approve expedited transport only within predefined limits
  
• Execute actions only if no contractual or compliance constraints are violated
  

AI evaluates real-time supply, demand, logistics, and contractual data. The BOB decides whether the supply chain action is allowed.

If the rules are fulfilled, execution proceeds automatically. If not, it is blocked.

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Automation no longer stops at supply chain disruptions.

Flow decisions are executed autonomously within defined limits.

• Higher automation across real-world supply chain scenarios
  
• Faster response to disruptions and demand changes
  
• Fewer manual escalations and coordination loops
  
• Improved reliability, cost control, and service levels
  

This is the difference between automating supply chain processes and automating flow decisions.

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