Jim Ahlstrand

According to our database, Jim Ahlstrand authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Predicting B2B Customer Churn using a Time Series Approach.

Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn

Proceedings of the Fifth International Conference on Intelligent Data Science Technologies and Applications, 2024

2023

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles.

Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn

Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society, 2023

2021

E-mail classification with machine learning and word embeddings for improved customer support.

Anton Borg, Martin Boldt, Oliver Rosander, Jim Ahlstrand

Neural Comput. Appl., 2021

Detecting Non-routine Customer Support E-Mails.

Anton Borg, Jim Ahlstrand

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

2020

Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case.

Anton Borg, Jim Ahlstrand, Martin Boldt

Proceedings of the Enterprise Information Systems - 22nd International Conference, 2020

Predicting e-Mail Response Time in Corporate Customer Support.

Anton Borg, Jim Ahlstrand, Martin Boldt

Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020