The document explains how a global manufacturing company replaced manual, error-prone maintenance planning with a predictive service definition assistant. Pages 1–2 describe challenges managing millions of machine configurations, leading to downtime, waste, and administrative burden. The solution, outlined on page 3, was a scalable web application built in phases, progressing from an MS Access proof of concept to a full .NET and Azure-based system with advanced UI, integrations, approval flows, and automated plan generation. Page 4 highlights results: faster scheduling, accurate spare part planning, reduced repeat visits, lower scrap and quality costs, and improved efficiency across 94 global organizations.

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