Intelligent Algorithm Engine – Get Delivery Dates Fast

Embedded with intelligent ATP/CTP engines. When a customer has clear delivery date requirements, the system can quickly calculate whether capacity is sufficient to fulfill the order. When a customer inquires about delivery dates, it can rapidly simulate the most feasible committed delivery date.

Multi-Constraint Simulation – Get Delivery Dates Accurate

Seamlessly integrate with ERP, MES, and other systems to obtain real-time multi-dimensional constraint data, including resource load, material availability, and work-in-progress (WIP) orders, ensuring a 100% executable committed delivery date is calculated under multiple constraints.

Solution Simulation – Get Delivery Dates Optimized

Provide powerful "What-if" simulation capabilities to quickly evaluate the impact, cost, and resource changes of different scenarios (e.g., expediting, adjusting transportation) on delivery dates, ensuring the optimal delivery date commitment.

Fulfillment Risk Alerts and Real-Time Progress Tracking

Real-time tracking of production progress provides complete visibility into where each plan stands, when it will be completed, and whether it is behind schedule. Orders at risk of delay are flagged with alerts to ensure timely intervention and guarantee delivery.

Easier Order Capture

Whether a customer inquires about the earliest feasible delivery date (ATP) or whether an order can be completed within a requested delivery date (CTP), sales can provide a reliable answer within the golden 3 minutes.

More Stable Production

Establish a scientific order acceptance profile, eliminating blind order acceptance from the source, and minimizing production line frequent changeovers and overtime caused by unbalanced orders or over-commitment.

Greater Customer Satisfaction

Effectively avoid fulfillment deviations caused by inaccurate delivery dates, gradually build a market reputation of "commitment fulfilled," and significantly improve customer satisfaction and repurchase rates.