McCormick, ConEst, AccuBid, Procore Estimating: where each one wins. Where a human estimator is still required. And where AI parsing of PDF takeoffs has actually started to replace the inside-sales rep, not the estimator.
The word "takeoff" gets used loosely. Most conversations we have about AI in estimating mush three different jobs together. They are different problems with different tools winning each one. Let's separate them:
Estimating software replaced manual quantity takeoff. AI is now replacing BOM pricing. Neither has come close to replacing plan reading.
| Job to be done | Best tool | Why |
|---|---|---|
| Plan reading (identifying scope from architectural / engineering drawings) | Human estimator | Requires interpretation of intent, code-compliance judgment, awareness of design errors in the plans, and pattern recognition across plan sets. AI is not close on this yet, despite ambitious claims. |
| Quantity takeoff on a structured plan set | McCormick, ConEst, AccuBid, Procore Estimating, PlanSwift | Mature tooling. Click on a symbol, the software counts every instance across the plan set. The estimator still defines the assemblies and confirms counts. |
| Quantity takeoff from a scanned or unstructured PDF | Hybrid (human plus assistive AI) | Some progress on scanned plan OCR but the estimator still validates every count. Tools like Togal AI and STACK have moved this forward; not yet a full replacement. |
| Assembly-level pricing within the estimator | McCormick / ConEst / AccuBid built-in pricing modules | Uses internal cost databases. Useful for first-pass budget estimates. Almost always needs supplier validation before bid submission. |
| Supplier BOM pricing for an actual bid | AI-native distributor (us, and a small number of others) | 5-15 minutes for 200-2,000 lines, across multiple suppliers, with substitutions flagged. This is the inside-sales rep replacement. |
| Spec-grade fixture pricing on lighting packages | Manufacturer rep agency | Architectural lighting still routes through the rep ecosystem because the rep often holds the spec-protection. We coordinate with reps; we do not replace them on spec-protected packages. |
| Bid-day pricing updates / change orders | AI-native distributor | The 24-hour distributor-quote cycle is too slow for bid-day changes. AI-quoting makes it possible to re-price a 50-line change in 5 minutes. |
The most-installed quantity-takeoff system for commercial electrical contractors in the US. Strengths: deep electrical assembly library (decades of accumulated assemblies), tight integration to bid documents. Weaknesses: licensing cost (significant), Windows-only, slow to adopt cloud-native workflows. If your firm has McCormick, you stay on McCormick. New firms increasingly skip it for ConEst or cloud-native alternatives.
The most common competitor to McCormick. Roughly similar feature depth on electrical assemblies. Lower friction to onboard. Better roadmap on cloud / mobile, though still primarily desktop. Strong reputation in the union electrical contractor segment.
The third major player. Trimble's acquisition put it on a more aggressive cloud roadmap. Stronger crossover into mechanical and HVAC takeoff (because Trimble owns adjacent tools). Used heavily by larger contractors doing self-perform across multiple trades.
The newcomer. Cloud-native, ties into the rest of the Procore platform. Has gained share among GCs adding self-perform estimating. Less penetrated in pure-electrical-trade contractor base but growing.
Not electrical-specific but used widely as the takeoff layer that feeds into other tools. Bluebeam Revu in particular is the default markup tool for plan reading; almost every electrical estimator has it open alongside their takeoff software.
This is the place AI is unambiguously winning in 2026. Take a takeoff PDF from any of the systems above, plus handwritten markups, plus inline emails with line adjustments, and parse it into a clean BOM ready for sourcing. Multiple tools are doing this; we ship it as a service rather than software.
Togal AI, Beam AI, StructionSite, and a handful of others. Real progress on identifying repeated symbols across a plan set. Still requires significant estimator validation. Confidence intervals are still wide enough that the estimator has to verify every count. Net productivity improvement: probably 15-30% on quantity takeoff, not the 80-90% the marketing claims.
The biggest near-term replacement. The role of "send the BOM to three distributors and wait for quotes" is the role getting eaten. The estimator still does the estimating. The inside-sales rep at the distributor is the disappearing role.
Lots of vendors claim AI-driven code compliance checks and value engineering suggestions. In practice the false-positive rate is too high to trust in a bid setting. We have not seen a tool here we would recommend for primary use.
Honest read on a 12-month horizon:
The estimator's job does not disappear. The job shifts: more time on the high-skill plan reading, less time chasing distributor quotes. This is the same shift that happened when quantity takeoff software emerged in the 1990s. The estimator did not go away; the manual counting did.
We do not sell estimating software. We are not building a McCormick competitor. The supplier-side AI we built is downstream of whatever takeoff system the estimator uses. Send us the output (PDF, Excel, CSV) and we price the BOM. The estimator stays on their tool. We do not ask them to switch anything.
That is the wedge: replace the inside-sales rep, not the estimator. The estimator is the customer. The distributor inside-sales rep is the role being displaced.
