Case Study: Kubota achieves predictive maintenance and 7% service revenue growth with IFS Service Management

IFS Service Management solution enables Kubota to offer targeted predictive service maintenance packages

Kubota Corporation, a global manufacturer of tractors and other farm machinery, needed to replace a 30‑year‑old service system that could not track maintenance records across changes in ownership or manage seasonal workload peaks. The company sought a way to centralize lifecycle data by serial number, move from corrective to preventive maintenance, and better plan field resources during busy planting and harvest periods.

Kubota implemented IFS Service Management (field service, parts, mobile app and scheduling) across 18 sales affiliates and partners, allowing visualization of machine histories, mobile on‑site service, coordinated staffing and targeted predictive maintenance packages. The rollout increased annual field‑service revenue by 7% in 2021, lifted deal closure rates by 45% for high‑risk customers, improved technician efficiency and created a foundation for AI‑driven predictive maintenance.

Kubota

Hideo Sueda

General Manager of the Agricultural Machinery Service Department