Author: Saurabh Kapoor is a Certified Master Anaplanner and a Technical Lead at HCLTech.
Hello Anaplan Community!
Thank you for checking out my 'How I Built It' tutorial. In this video, I demonstrate how I built an AdHoc Hub, a self-service integration framework that enables planners to execute data load processes on demand while reducing dependency on support teams and manual intervention.
This solution combines Anaplan UX, CloudWorks, AWS S3, Anaplan Connect, and batch automation to create a seamless end-to-end process. Planners can select a planning activity, generate a trigger from Anaplan, and automatically execute the corresponding data load process through a centralized hub.
A great example is Demand Planning and Supply Planning, where planners regularly need to upload forecast, inventory, capacity, or override data as part of their planning cycle. Instead of relying on scheduled integrations or technical resources, planners can trigger these processes directly from the AdHoc HUB and monitor execution status in real time.
This approach is especially useful for organizations that require flexible, user-driven integrations while maintaining governance, auditability, and process standardization.
Key features:
- Planner-driven self-service execution
- CloudWorks integration with AWS S3
- Trigger-based automation framework
- Dynamic action execution using metadata-driven design
- Automated timestamp logging and execution tracking
- Scalable architecture for multiple planning processes
- Centralized monitoring and audit visibility
Key planning use cases demonstrated:
- Upload Sales Forecast
- Upload Demand Override
- Upload Inventory Position
- Upload Production Capacity
The same framework can be extended to support Financial Planning, Workforce Planning, Sales Planning, and other business processes requiring on-demand data integration.
‘How I Built It’ tutorial
Drop a comment if you have any questions!