LIPPERT Success Story

Industry Vertical

Recreational Vehicles

Location

Indiana, USA

Revenue

$4.5 billion (2022)

Lippert is a prominent manufacturer in the recreational vehicle industry, providing innovative solutions for RV components and systems.

Business Impact

By implementing ClearOps, Lippert resolved their spare parts management challenges and achieved significant results. The implementation of the spare parts matching engine and synchronization with Master Data Management improved spare parts availability and streamlined the identification of fitting parts. The generation of the Service Bill-of-Material and aggregated spare parts replenishment planning optimized inventory profiles and improved efficiency. As a result, Lippert experienced reduced wait times for repairs, increased customer satisfaction, and achieved substantial efficiency gains in their service operations.

Increase

Reduction

Customer Fill Rate

Increase

Reduction

Machine and parts sale

Increase

Reduction

Non-moving inventory

Challenges

Low spare parts availability at service points.

Long wait times for RV repairs or maintenance.

High manual efforts in identifying required parts for service and sourcing from a network of multiple suppliers.

Lack of visibility on part numbers at different suppliers for the same physical part, making spare parts inventory optimization efforts impossible.

Highly customized machines further increasing efforts to identify fitting spare parts.‍

Deliverables

Implementation of a sophisticated spare parts matching engine to identify identical physical parts at different suppliers, despite varying part numbers.

Synchronization of the parts matching engine with Master Data Management, enabling the leading dealer system to relate identified matches to each other.

Generation of a Service Bill-of-Material based on work order history and confirmed parts matches, providing guidance on which parts fit on which RV configuration.

Aggregated spare parts replenishment planning based on identified parts matches, driving inventory profile optimization.

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