AI-Driven ATP / CTP

Classical ATP/CTP treats order promising as a static inventory and capacity check. Eyelit replaces that model entirely with Attribute Based Planning combined with AI — turning every order promise into a dynamic, constraint-aware decision that gets smarter over time. 

Attributes are defined at the individual demand level — encoding each customer’s specific preferences and constraints directly onto the order. ABP propagates those attributes through the entire supply chain, ensuring that every fulfillment decision respects what that customer actually requires: approved suppliers, quality grades, country-of-origin rules, acceptable shipping modes, and more. 

Key Features:

• Supports both batch ATP (within the planning run) and live ATP (for new order intake), integrated with your order management system via message bus 
• Preserves upstream capacity for near-term demands, ensuring fair allocation without manual intervention 
• Considers residual capacity — not just forecasted capacity — for the most accurate commitments possible 
• AI analyzes fulfillment outcomes across orders and continuously updates allowed attribute alternatives — for example, learning that a customer will accept premium air freight when ocean freight would miss their deadline, and automatically widening that customer’s fulfillment options accordingly 
• Attribute-controlled shipping mode decisions eliminate manual exception handling — air freight, ocean freight, expedited routing, and other cost-versus-speed trade-offs are governed by customer attributes and optimized by AI