Commercial Construction’s Bidding Process Still Runs on Email and Spreadsheets. AI Is Starting to Change That.

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Every year in the United States, roughly 700,000 commercial construction projects come out of the ground, representing $1.6 trillion in domestic activity. Behind each project sits a bidding process that, despite the scale of capital involved, still operates largely through emails, spreadsheets, and phone calls. General contractors blast invitations to bid to tens of thousands of subcontractors, most of whom only bid on 3 to 15% of what they receive. Meanwhile, approximately 170,000 suppliers scramble to identify which subcontractors are actually pursuing which jobs, a process that remains opaque and labor-intensive.

For real estate investors and developers funding these projects, the inefficiency carries a direct cost: when suppliers cannot easily find bidding subcontractors, and subcontractors cannot efficiently sort through bid invitations, pricing reflects friction rather than true market competition.

Why the Bid Phase Remained Manual

According to McKinsey research, construction is the second-slowest industry to adopt technology, behind only K-12 education. Lee Blaylock, Co-Founder & CEO of ConstructionBevy, attributes this partly to the relationship-driven and risk-heavy nature of the business, but pushes back on the assumption that construction firms lack sophistication.

“These are companies that are very sophisticated. They really understand what they’re doing. They’re manual because a lot of tools have not been built for them yet,” Blaylock says. Existing bid-distribution platforms handle getting invitations out to subcontractors, but according to Blaylock, none has managed the subcontractor’s workflow from the moment an invitation arrives through bid submission.

The gap is specific: subcontractors receiving 150 to 200 bid invitations daily have no automated way to evaluate whether each opportunity matches their capabilities, location preferences, union status, job size, or bonding requirements. They track deadlines in email inboxes and Excel sheets. General contractors make expensive phone calls to ask subcontractors whether they intend to bid, calls neither party wants to make.

When Bidding Preferences Become Structured Data

ConstructionBevy uses AI agents to parse incoming bid invitations and match them against roughly 20 categories of subcontractor preferences, union or non-union, public or private, location, job size, and similar criteria. The system recommends whether a given opportunity is worth pursuing, based on each sub’s specific bidding preferences. When a subcontractor decides to bid, the platform tracks their status – estimator assigned, logistics engaged, bonding in process – creating what Blaylock calls operational data rather than research-based project data.

A subcontractor using a system like this could go from tracking bid deadlines across email and spreadsheets to working off a single feed that flags which incoming invitations are worth pursuing based on their own criteria, cutting down the daily task of manually sorting through invitations that don’t fit the business.

The platform also automatically emails the sending GC with a gap analysis of missing information: no start date, no copy of the prime agreement, no indication of subcontract default insurance programs. “If you don’t want to answer this email, you don’t have to,” Blaylock says. “But if you do, you’re going to be providing information that’s key to help subs make a more informed bidding decision.”

Beyond the recommendation engine, the platform generates a calendar from all project dates received from GCs, replacing the email inbox as a tracking system. It includes team assignment functions and internal notes where subcontractors can store meeting transcripts and project-specific information in a single location.

ConstructionBevy also distributes what Blaylock calls hybrid leads. When a GC sends a bid invitation to a concrete subcontractor, the platform checks whether that same project meets the criteria of non-competing subcontractors in other divisions – mechanical, electrical, or otherwise. If it does, the opportunity drops into their inbox at no cost. This helps GCs find subcontractors they would not otherwise know about, particularly in unfamiliar markets.

For GCs, the result is a live bid coverage board – visibility into which subcontractors are actively pursuing their jobs, based on operational activity rather than email confirmations.

The Supplier Lead Marketplace

The component most relevant to real estate developers and owners is ConstructionBevy’s Supplier Lead Marketplace, which is currently being demoed privately and is expected to release later this year. Currently, suppliers trying to identify which subcontractors are bidding on a given project must rely on personal relationships, phone calls, or informal information exchanges with estimators. That opacity limits competition.

By structuring bidding status data on a platform, suppliers can purchase leads showing which subcontractors are actively pursuing specific projects, revenue Blaylock says is shared back with the GC and subcontractor. For project owners, the appeal is sharper pricing driven by a more transparent market.

About the Expert: Lee Blaylock is Co-Founder and CEO of ConstructionBevy, a platform automating the commercial construction bid management process for subcontractors and general contractors.

This article is based on information provided by the expert source cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.

Steve Marcinuk
Steve Marcinuk
Steve Marcinuk is co-founder of KeyCrew and features editor at the KeyCrew Journal, where he interviews industry leaders and writes in-depth analysis on real estate, construction technology, and property innovation trends. His work provides unique insights into how technology is leading evolution in these industries. Since 2015, Steve has scaled and exited two digital content and communications startups while establishing himself as a thought leader in AI-driven content strategy. His industry analysis has been featured in VentureBeat, PR Daily, MarTech Series, The AI Journal, Fair Observer, and What's New in Publishing, where he contributes insights on the practical and ethical implications of AI in modern communications. Through the KeyCrew Marketing Studio, Steve partners with forward-thinking real estate and technology companies to transform complex industry expertise into compelling narratives that capture media attention. This approach has consistently delivered results, with real estate clients featured in Property Shark, Commercial Edge, Barron's, and Forbes for coverage spanning lending trends, market analysis, and property technology. His strategic guidance has secured client coverage in over 450 leading outlets, including The Wall Street Journal, Bloomberg, and Reuters, helping organizations build authentic thought leadership positions that move their business forward. Steve holds a magna cum laude degree in Marketing and Entrepreneurship from the Wharton School of Business and splits his time between South Florida and Medellín, Colombia, where he lives with his wife Juliana and their two young boys.

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