How to Create a Connected Data Flow: A Step-by-Step Guide
Building a connected workflow happens in stages. The following four steps show you how to link your front office to the shop floor and create the automated data flow that cuts out manual work and improves efficiency.

1. Integrate With Your ERP and PLM Systems
Integration establishes a single data source for job orders. When an order is entered in the ERP, it appears automatically in the production queue with specifications, due dates and priorities. Programming teams access new jobs without manual data entry or re-keying information from work orders.
This approach eliminates manual order entry. The hours previously spent transferring data are redirected to programming work and process optimization. ERP integration forms the foundation for the connected workflow.
2. Automate CAD to Optimized Nest
The software automatically processes CAD files once a job enters the queue. When a file arrives, the system fixes common drawing problems like gaps, overlaps and formatting errors that would normally require manual cleanup.
The software pulls the information it needs directly from the file. Then, it creates the nest, arranging parts to reduce waste while accounting for your specific machine and material requirements.
The system works with many processors, enabling it to connect to virtually any cutting equipment brand. You can use your existing machines and bring in older job files without compatibility issues.
3. Sync Inventory and Scheduling
Nesting engines communicate instantly with the inventory and scheduling modules to make intelligent decisions about every job. Software knows exactly what material exists on hand, including full sheets and tracked remnants, and which machines are available and when.
Jobs are scheduled with specific sheets or remnants automatically reserved for each nest. This process prevents double-booking material and ensures the right stock is available when the job reaches the machine. Once the nest is complete, it moves onto a dynamic machine schedule that provides an accurate, forward-looking view of machine utilization.
Integration between nesting, advanced inventory management and automated job scheduling creates the single source of truth for your operation.

4. Close the Job to Execution Cycle
The final step closes the loop and completes the connected data flow. After the machine cuts a job, data flows back into the system to update all connected modules. This feedback loop maintains data accuracy while enabling continuous improvement.
When operators mark a nest as complete, inventory updates automatically by consuming the sheet or partial sheet used and creating a new remnant record if material remains. Job status in the ERP updates to complete, triggering invoicing and other business processes.
Actual cut times feed back to refine future quoting data. Over time, this feedback improves quoting accuracy as estimates align more closely with production performance. This closed loop ensures data stays current and systems remain synchronized across the entire operation.