This estimate reflects a smaller operation or a tracking environment that's already partially controlled. Even so, the dollars here represent job costs your accounting team can't fully reconcile and quotes built on incomplete data. For a shop your size, Shop-Trak typically pays for itself within the first year — and the visibility you gain on day one is something spreadsheets and whiteboards can't replicate. 

At this level, the gap between what you're paying for and what your system actually knows is affecting decisions you make every day — job costing, scheduling, quoting. Your team is working around data they don't fully trust. Competitors with real-time shop floor visibility are quoting more accurately, hitting delivery windows more consistently, and running at margins that are harder to match. This number gets smaller the longer you wait to address it. 

This is the kind of number that belongs on a slide. At this scale, untracked and misallocated labor isn't a data quality problem — it's a strategic one. Every quote you build on incomplete cost data, every delivery promise made without reliable capacity information, every month your accounting team closes with unexplained variance: it compounds. The ROI case for Shop-Trak at this level is not close.