Supercharged Customer Service with Machine Learning

ChurnNet: A Optimized Modern AI for Churn Prediction

arXiv:2606. 00169v1 Announce Type: cross Abstract: Increased competition and the growing similarity of products and services offered by retailers have lowered the barriers for customers to switch to competitors.

Data-Driven Telecom Marketing Optimization: A Machine Learning-Based Churn Prediction and Customer Segmentation Framework

arXiv:2607. 10260v1 Announce Type: new Abstract: Customer churn is a major challenge for telecommunication companies, directly eroding revenue and long term customer relationships.

Travel Time Prediction in Supply Chain Management Using Machine Learning

The study explores machine learning and deep learning techniques to predict travel time for transportation and logistics within supply chain systems. By leveraging extensive historical data, it aims to build an accurate model that estimates travel times for inventory movement. The research emphasizes the importance of precise travel time predictions for improving logistics consistency, performance, and planning across the supply chain.

Delivering high-performance customer support

Decagon and OpenAI deliver high-performance, fully automated customer support at scale

A Rolling-Window Framework for Churn Prediction and Behavioral Driver Identification

arXiv:2606. 06776v1 Announce Type: new Abstract: Customer churn prediction is a central task in customer analytics, particularly in non-contractual, pay-per-use service environments where disengagement is not explicitly observed and must be inferred from behavioral inactivity.

Director of Machine Learning Insights [Part 2: SaaS Edition]