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Transcript

How AI Powered Dynamic Pricing Unlocks Coworking Revenue

Recorded live at GCUC UK, Featuring Eyal Lasker, CEO at Flexspace AI

Brave Ideas Season 16, Episode 4

Bringing GCUC’s London edition to your inbox and ears

The “Preamble”

This special GCUC UK x Brave Ideas episode features Caleb Parker with Eyal Lasker, CEO of Flexspace AI, recorded live on the GCUC stage.

Press play below for this “Behind the Scenes” clip that the GCUC audience saw before the official start of this Brave Ideas podcast episode.

The Episode

Hotels have run revenue management for decades, and now coworking is beginning to use AI powered dynamic pricing to lift conversion, rate, and total revenue.

In this epidode, Caleb & Eyal connect hotel-style revenue management to coworking, discuss why flex office has lagged in hospitality industry best practices, and why ecommerce is the practical on ramp.

Eyal explains how an autonomous pricing agent learns from past data, live conversion, seasonality, and market signals to set prices, and that a 1% price drop correlates with 3% more bookings.

The two go on to cover guardrails, floor and ceiling pricing, why prices vary by day and hour rather than by person, how office pricing is rolling out after meeting rooms and day passes, and what lenders need before financing flex at scale.

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What You’ll Learn in This Episode

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  • How AI powered dynamic pricing works in flex, inputs, learning loops, and outcomes

  • How to set smart guardrails, floor and ceiling, while letting the system run autonomously

  • Where elasticity shows up in flex, increasing volume and effective yield

  • How to connect website, CRM, and occupancy so pricing, sales, and community act in sync

  • What needs to exist for dynamic pricing of offices, monthly and annual agreements

  • What lenders and investors need, forward revenue signals and reliable models

Key Takeaways for Operators

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  • Enable ecommerce for on-demand products, treat them as top of funnel with a goal of negative CAC (customer acquisition cost)

  • Use AI to reprice by hour and day, reserve human time for hospitality and community

  • Track drop offs and non-conversions, feed retargeting and pricing adjustments automatically

  • Nudge frequent on demand users into memberships or offices, protect revenue with overflow logic

  • Monitor elasticity and conversion weekly, adjust guardrails rather than micromanaging price

Key Takeaways for Real Estate Investors and Landlords

  • Flex is operational real estate, value depends on systems, data, and service, not only fit out

  • Dynamic pricing data improves forecasting, supports valuation and debt conversations

  • Hospitality and community increase retention and pricing power, supporting NOI

  • Industry benchmarks like WIN can inform underwriting when linked to pricing engines

Behind The Scenes

(L-R) Eyal Lasker, Liz Elam, Christmas Marquez-Correa, Caleb Parker at the GCUC-UK after party

💡 This episode is part of Brave Ideas Season 16, diving into the 6 Pillars of Space as a Service, spotlighting operator playbooks and practical moves that lift demand, protect margins, and build workplaces people choose.

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