Tech Provider: Predii – a company specializing in AI platforms for repair and maintenance services in the industrial equipment and automotive sector
Client: Snap-on Inc. – an OEM of high-end tools and equipment for various industries
Industry: Transportation
Function: Business Intelligence and Analytics
Tech Provider Contact Person: Sierra Stanton
Snap-on collaborated with Predii to monetize data from their service operations, leading to the creation of Predii Repair Intelligence.
Problem 1: OEM Manuals
Snap-on aimed to create a searchable database for technicians to effectively use lengthy vehicle manuals.
Actions Taken
Predii utilized natural language processing to tag key concepts in manuals, enabling targeted searching.
Problem 2: Telemetry Data
Snap-on needed to analyze telemetry data from vehicles for real-time diagnostics and forecasting.
Actions Taken
Predii’s algorithm processed telemetry data for predictive maintenance insights.
Problem 3: Repair Orders and Warranty Data
Snap-on sought patterns in unstructured repair orders to enhance diagnostics.
Actions Taken
Predii used Unnatural Language Processing to extract insights from repair orders.
Integration
Collaboration between Predii’s data architects and Snap-on’s technicians led to the development of Repair Intelligence using sensor, service order, and OEM manual data.
Results
Zeus, powered by Predii, saved technicians 30 minutes per job in diagnostic time.
Transferable Lessons
AI can extract valuable insights from vast amounts of data, benefiting businesses with significant customer/product data like Snap-on.
