Our new API for Pickup and Delivery Routing is out!

It optimizes in-route pickup and delivery of people or packages.

Such as
- Non-emergency medical transport to bring patients to the hospital
- School bus optimization
- Food delivery
- Parcel delivery

https://app.timefold.ai/models/pickup-delivery-routing

"Why can't you just have ChatGPT generate a schedule for you?"

In this podcast, Mackenzie Jackson and I didn't just drink sake, we also covered complex scheduling and routing with AI and founding a company.

Watch it here:
https://www.youtube.com/watch?v=58CM0Zr4O_E&t=2020s

An Open Source project needs a real-time chat for the community to come together.

So we created a Discord chat for Timefold Solerv.

To ask questions.
To discuss ideas.
Or to figure out how to hack the solver to run your crazy experiment.

Join us:
https://discord.gg/976RcEVVHW

In the Optimization4All podcast, Cristina Radu and I talked about Operations Research, starting a company and Timefold.

Watch the podcast:
https://www.youtube.com/watch?v=rrLby4O5mA0

If it takes 10 000 hours to master a craft,
what do you get for 10 000 commits?

Timefold Solver, our Open Source solver for complex scheduling and routing problems, just reached 10 000 commits on GitHub:
https://github.com/TimefoldAI/timefold-solver

Can the optimal solution for a Traveling Salesman Problem (TSP) have crossing paths?

No, it cannot.
Because of the Triangle Inequality principle.

But in reality, it can.
Because there's road infrastructure: highways, one-way streets, etc.

In the real-world, solution optimality is rarely obvious.

A great plan is worthless if you can't explain why.

For the operators to trust your software, they need more than a button to "Schedule with AI" that generates the optimized schedule for their employees.

They need explainability. Learn how:
https://timefold.ai/blog/explainable-ai-how-to-build-trust-in-optimization

Vehicle Routing Problems in production:
When research meets reality.

Our webinar yesterday covered:
- Maps integration
- Time calculation
- Hard constraints in reality
- Multi-objective optimization
- Real-time planning

See the recording:
https://www.youtube.com/watch?v=l12GsNZp_Ng

Where does your enterprise stand on the scheduling maturity ladder?

Are your resources scheduled manually?
With or without constraint verification?

Or automatically?
With or without optimization?

Discover the 4 Levels of Scheduling:
https://timefold.ai/blog/the-4-levels-of-scheduling