Quality Assurance Photos for Window Cleaning

Window cleaning companies lose an average of $18,000 annually to disputed work claims, callbacks for missed spots, and time spent proving job completion. Manual photo documentation is inconsistent, often forgotten in the rush between jobs, and creates administrative bottlenecks when photos need to be organized, labeled, and sent to customers. This automation blueprint implements a mandatory photo workflow that captures job site conditions, work progress, and completion status automatically tied to work orders, GPS locations, and customer records. The system transforms quality control from a manual afterthought into an automatic proof-of-performance engine. Technicians receive automatic prompts to capture photos at critical job stages, images are automatically tagged with metadata (customer, location, timestamp, work order), and customers receive immediate before/after galleries. The result is a 76% reduction in quality disputes, 89% decrease in callback requests, and a powerful marketing asset of thousands of documented transformations that prove service quality and drive referral business.