RL Electric

AI-assisted symbol recognition replaces manual PDF counting — so estimators spend their time on bid strategy, not symbol-by-symbol tracking.

Electrical • Subcontractor

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The challenge

At RL Electric, Maricruz handles proposal preparation — including detailed takeoffs from electrical plans before finalizing bids. The process relied heavily on manual counting using PDF markup tools. With dozens of sheets per project, even a single missed symbol could throw off a bid, and symbol-by-symbol tracking ate up hours that should have gone into strategy.

The solution

RL Electric adopted Quotr.ai's AI-powered symbol recognition and counting directly on electrical plans. Takeoff, review, and material context now live in one place — replacing manual markup with AI-assisted counts the team can verify and adjust quickly.

The results

The team simplified takeoff, reduced repetitive manual counting, and gave Maricruz more time to focus on bid strategy rather than symbol-by-symbol counting — adding capacity to respond to opportunities with confidence.

At a glance

What changed for RL Electric.

AI-assisted

Takeoff approach

Reduced

Manual counting

Dozens

Plan sheets / bid

“Faster review, adjustments, and material context in one place — more capacity to respond with confidence.”

Pulled from the RL Electric case study narrative.

The Quotr.ai advantage

Why teams choose Quotr.ai.

One platform

Takeoff, estimates, cost database, bids, and procurement — no more switching tools.

Bid smarter

Compare bids, manage suppliers, and close faster with built-in workflow.

Real-time insight

Schedules and costs stay in sync so your team always has the latest numbers.

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