Real Estate Deals Move Slowly Compared to Other Industries
Every real estate professional – brokers, landlords, and tenants alike has felt the frustration of a deal dragging on. Whether it’s the endless back-and-forth on space planning, the difficulty of visualizing potential fit-outs, or the reliance on slow, manual architectural processes, deal cycles are often stalled by inefficiencies.
This isn’t just an inconvenience. It’s a structural issue in commercial real estate, where delays translate directly into lost revenue, longer vacancies, and missed opportunities. For years, the industry has been dependent on architects manually drawing space plans, a process that hasn’t meaningfully changed in over 30 years. But lately, real estate tech is finally catching up to the urgency of dealmaking.
Proptech Solutions Expedite Decision-Making
The biggest bottleneck in real estate deal cycles is uncertainty—buyers, tenants, and investors hesitate to commit when they can’t fully envision how a space will work for them. Traditional space planning requires multiple iterations between brokers, architects, and tenants, often stretching over weeks.
Proptech solutions are now eliminating this delay. Platforms like qbiq leverage AI-driven space planning to generate fully realized layouts and 3D virtual tours within hours. Instead of waiting weeks for an architect to deliver test-fits, brokers can now show tenants multiple, tailored configurations instantly.
How AI-Powered Planning Transforms Deal Cycles
Let’s break it down:
- Instant Space Validation – Traditionally, confirming whether a tenant’s requirements fit into a space takes weeks of back-and-forth. With AI-generated plans, brokers and landlords can immediately assess fit, eliminating delays.
- Stronger Tenant Engagement – A static floor plan means nothing to a tenant who struggles to visualize their operations in an empty shell. 3D walkthroughs and high-resolution renderings allow decision-makers to experience the space as if it were already built.
- Competitive Advantage for Brokers & Landlords – Winning a tenant often comes down to speed and certainty. When one brokerage provides immediate, fully detailed plans and another requires weeks of manual work, the faster option wins the deal.
Increased Conversion Rates – Data shows that landlords using AI-powered planning tools close deals up to 30% faster. This isn’t theoretical; brokers from Colliers, JLL, and Avison Young have already integrated automated planning into their deal cycles, reporting significantly higher tenant engagement and reduced vacancy periods.
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Case Study: Turning an Unwanted Listing into a Leased Space
Vasha Carter, a real estate agent at SVR Commercial, faced the challenge of leasing an outdated office in a post-COVID market where downsizing was the norm. The space lacked appeal, and traditional marketing wasn’t generating interest. Instead of relying on static floor plans and in-person tours, Vasha used qbiq to generate multiple layout options and a high-resolution 3D virtual tour.
The result? A previously uninterested prospect saw the potential through qbiq’s visualization and signed the lease. What seemed like an impossible listing became a success story—without the need for endless site visits or speculative redesigns.
The Future of Real Estate Transactions
Real estate tech isn’t just about digitizing old processes, it’s about removing the biggest obstacles in dealmaking. In an industry where time kills deals, the ability to instantly visualize, iterate, and validate spaces is a fundamental shift.
For brokers, this means less friction and higher close rates. For landlords, it means reduced vacancy times. And for tenants, it means faster, data-driven decisions.
The firms embracing proptech solutions today are fundamentally changing the speed at which deals get done. The real question isn’t whether AI-driven space planning will become standard, it’s how much longer the rest of the market can afford to wait.
