Machine learning that writes the schedule.

An ML-driven auto-scheduling module that learns from historical shifts, renders thousands of shifts on a single screen, and integrates seamlessly with the core workforce platform.

Challenges

Develop a machine learning algorithm that auto-schedules staff by learning from previous shifts
Render a vast number of shifts on a single screen for easy management
Integrate the new scheduling module seamlessly with the existing product suite

Results

An ML algorithm that auto-generates optimal staff schedules from historical data — factoring in skills, preferences, and organizational needs.
A rendering solution handling thousands of shifts on a single screen, giving managers instant scheduling overviews.
Seamless integration with the existing suite — efficient and scalable across public and private sector organizations of all sizes.
Reduced scheduling time and lower risk from human error, compliance issues, and labor costs.

Working with the Apoddo team was a genuinely positive experience. They were motivated and resourceful, demonstrating a capability to navigate challenges with innovative solutions. Communication was straightforward and timely.

Vlad M.

Project Manager, TCP Software