Case Study: Konica Minolta Japan achieves improved customer satisfaction and proactive maintenance with SAS AI Platform

SAS® Artificial Intelligence leads to improved customer satisfaction

Konica Minolta Japan, the service and distribution arm of Konica Minolta Inc., needed to modernize operations for its multifunctional peripherals business by using AI and IoT to keep customers’ operations running smoothly. The company faced challenges around predicting malfunctions, optimising parts and inventory, reducing unnecessary deliveries, and speeding up its PDCA cycle while processing large volumes of sensor and business data.

By deploying the SAS Platform with AI, machine learning and visual analytics, Konica Minolta Japan built and rolled out multiple models for sales, inventory, malfunction and customer‑defection forecasts and management optimisation. Within a year it accelerated its PDCA cycle, began sending consumables based on actual usage, introduced proactive maintenance that predicts part life, reduced costs, improved customer satisfaction and strengthened internal collaboration—delivering benefits that outweighed the investment.

Konica Minolta

Shouichi Yabe

Director of Data Science Implementation