SKU/Artículo: AMZ-B0FT8XX64K
Precision Power: Using AI in Real Estate Development
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.26 kg
0.26 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- SPECIALIZED DEVELOPMENT ISN’T ABOUT SIZE. IT’S ABOUT PRECISION. In a market overrun with speculation, delays, and obsolete execution models, Precision Power Using AI in Real Estate Development hands you the playbook to outmaneuver every traditional developer in the game. This is not about tech hype. It’s about monetizable intelligence. Inside this high-impact execution guide, you’ll learn:How to weaponize AI for site selection, zoning leverage, and due diligence shortcutsThe investor psychology model that drives faster capital commitments and higher returnsExact pitch scripts, stack structures, and licensing frameworks for scaling without burnoutThe branding blueprint to position you as the authority― before you ever break groundWhether you’re building high-ticket commercial spaces, branded lifestyle projects, or niche-use income assets, this book eliminates guesswork and replaces it with strategic certainty. Built from the real-world systems of JT Foxx―the world’s #1 wealth and business coach―this isn’t theory, it’s execution intelligence and William Boll, with over two decades of construction materials and real estate development experience. If you’re ready to command elite positioning, compress your cycle, and create scalable, status-backed real estate plays... This is your unfair advantage. WHAT OUR READERS SAY “In a world where most real estate educators talk theory, William Böll delivers execution. Their practical frameworks, branding insights, and monetization strategies have helped us improve how we build, scale, and grow our proptech plat-forms. They have a unique way of understanding real estate and seeing opportunities ahead of the curve. Working with him has definitely added value to what we do.” —Harri Majala Oulu, Finland gbuilder.com 3rd generation entrepreneur, 2nd generation homebuilder, 1st generation ConTech founder AI is reshaping real estate into an arena of predictive power. This book, PRECISION POWER USING AI IN REAL ESTATE DEVELOPMENT, is your telemetry dashboard. It demystifies how machine learning can forecast market shifts in underserved sectors, automate due diligence on quirky assets like adaptive reuse projects, and execute trades with the efficiency of a pit crew under pressure. No longer do you need to guess at tenant turnover in a boutique hospitality flip or valuation anomalies in industrial retrofits; AI hands you the algorithms to spot them, score them, and seize them. What excites me most about the author’s approach is the emphasis on execution. In racing, strategy is worthless with-out the nerve to commit at 200 miles per hour. Here, you’ll find not just theoretical models but battle-tested tactics: from AI-powered scenario modeling that anticipates regulatory headwinds in heritage properties to portfolio optimization tools that balance yield against volatility, much like tuning a suspension for the perfect blend of grip and speed. These strategies aren’t for the faint-hearted investor chasing cookie-cutter condos—they’re for the specialist who thrives in the turns, where others see only straightaways — James Bondurant Professional Race Car Driver The book is more than a guidebook — it’s a blueprint for the future. Within these pages, you’ll learn how AI can identify opportunities that would have taken teams of analysts weeks to find, predict market shifts with astonishing precision, and streamline decision-making so you can act when timing matters most. As someone who spends my life spotlighting innovators and thought leaders, I can tell you: this book is exactly what the industry needs right now. It doesn’t just explain the technology; it shows you how to put it to work — profitably, practically, and responsibly. —Brandon Jay CEO & FOUNDER IMA Entertainment Holdings imaentertainment.com
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AR$78.700
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AR$31.480
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