Process and Model Optimization Course
This course equips participants with essential skills to optimize operational processes and models, focusing on efficiency, capacity planning, and data-driven decision-making for order fulfilment and beyond.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Process and Model Optimization Course provides practical tools to streamline order fulfilment, reduce delays, and minimize errors. Learn to map end-to-end flows, build transparent capacity models, run peak-demand scenarios, and apply data-driven benchmarks. Use clear templates, staffing calculators, and ROI-focused tactics to prioritize improvements and roll out measurable, low-risk changes quickly.
Elevify advantages
Develop skills
- Process mapping mastery: quickly expose waste in order fulfilment flows.
- Capacity modelling in Excel: build clear FTE, backlog, and overtime forecasts quickly.
- Scenario planning for peaks: stress-test ops and size labour for surge demand.
- Data-driven labour planning: set shifts, benchmarks, and staffing using hard numbers.
- Optimization playbooks: prioritize Kaizen, layout, and automation with clear ROI.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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