Machine Learning Models in the Wild: Estimating time for logistics purposes.

We have all heard there is a place and time for everything. What is the exact time though? Especially when you have been waiting an entire day for a shipment that never arrives! In comes Posten and Oda to present how they are estimating time for their logistics tasks and solving delivery pains.

Schedule:
17:30 - Mingling with pizza and refreshments
18:00 - Welcome intro
18:10 - Posten presentation + questions
18:50 - Oda presentation + questions
19:30 (until 20) - End of event with some more mingling and leftover pizza

A bit more about the presenters and presentations:

Posten AS
Speaker: Simon Simonsson - Data Scientist in the Data Science & Emerging Technologies Department.
Presentation : When will your package arrive? Estimating package delivery times
When delivering daily thousands of packages over many different types of services all over Norway, estimating delivery times for packages are one of the major data science projects at Posten. In this talk we will present how data science projects are done at Posten, with the specific use case of estimating delivery times. How we go from raw data to clean data sets, data set to model, and how these models are later used within a production environment. We will start by describing how we solved our problem and what our models are based on, and later move on to describing how this runs in practice by describing our tech stack.

Oda
Speakers: Asgeir Berland - Data Scientist and Tech Lead in the Route Planning team, and Tarjei Bondevik - Data Scientist in Delivery Experience team.
Presentation: Predicting service- and driving times for last mile delivery
Every day Oda plans for up to 10000 stops to deliver groceries on people's doorsteps. In order for the route planner to create manageable and efficient routes, while still being on-time, it depends on predicted timings between the customers. We define driving time as the time it takes to drive between customers, while service time is time spent on everything else, such as re-stacking the car, ringing the door bell, and carrying the groceries into the customer’s doorstep.”

Looking forward to seeing you there!