CWICR Estimate-vs-Actual Quantity Matcher

Quantities drift from what was bid the moment a project leaves the estimate and hits the field, but nobody notices which CWICR codes drifted the most — or why — until a pay app or a closeout reconciliation surfaces a total that's already too big to untangle line by line.

The skill matches the original estimated quantity against the actual quantity installed or consumed to date, code by code, computes the variance %, and flags any code whose overrun crosses a threshold you set — a potential unbilled change order or an estimating error, the skill flags it without deciding which. If you tag which flagged codes trace back to an approved plan change and which are waste or a mistake, it reports those as separate totals instead of one blended overrun number that answers neither question.

It doesn't infer the cause of an overrun from the numbers alone — a 20% concrete overrun looks the same on paper whether it came from a change order or over-pour, so untagged flags stay in a clearly labeled "cause unknown" bucket rather than being guessed at. It also doesn't decide whether a flagged overrun should be billed as a change order; that's a commercial call for the PM or estimator.

This is a different problem from Bloqbase's own "Gestor de Consumo Real de Materiales de Obra," a Spanish-market skill built for raw material families like ceramic, concrete, or steel with no shared coding standard behind them — it compares against a theoretical waste rate, not a bid quantity. This skill needs a CWICR code shared by both the estimate and the actual data to match rows with certainty, which only exists in US-coded projects. Download it free with your email, or write to us if you want to see it working against your own quantity data.

How to put it to work on a real project

The idea isn't to download another file and forget it in a folder. Use it with a specific case: a pending certificate, a coordination meeting, a cost overrun or a handover to the developer. Fill in the resource with real data from your project, validate the result with your own technical judgment, and keep it as an internal reference to repeat the process next time.