Predicting e-Mail Response Time in Corporate Customer Support. - Anton Borg; Jim Ahlstrand; Martin Boldt (ICEIS (1), 2020)

Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case. - Anton Borg; Jim Ahlstrand; Martin Boldt (ICEIS (Revised Selected Papers), 2020)

Detecting Non-routine Customer Support E-Mails. - Anton Borg; Jim Ahlstrand (ICEIS (1), 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)

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. - Jim Ahlstrand; Martin Boldt; Anton Borg; Håkan Grahn (SAIS, 2023)

Predicting B2B Customer Churn using a Time Series Approach. - Jim Ahlstrand; Martin Boldt; Anton Borg; Håkan Grahn (IDSTA, 2024)

Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data. - Jim Ahlstrand; Anton Borg; Håkan Grahn; Martin Boldt (ICEIS (1), 2025)