How does modifying service times impact the number of vehicles used? Are there unexpected changes to worker assignment with new shift requirements? Batch experiments (also known as back, historical, or ad hoc tests) are useful for exploring, understanding, and validating the impacts of model changes on business metrics (or KPIs).
Join Carolyn Mooney, CEO of Nextmv, for a demonstration of a repeatable experimentation workflow on decision models while exploring delivery routing, shift scheduling, order fulfillment, and worker assignment use cases.
Highlights
- Overview of batch experiments within the larger optimization model testing universe
- Demo of testing multiple decision models for different operational use cases
Get started on Nextmv for free and learn more in the documentation.
Have questions? Reach out to us to talk with our technical team.
