(10 min each)

Join this session to learn two tried and tested proof of concepts for AI that service leaders are executing with solution partners. You’ll have an opportunity to select which service leaders and their solutions providers that you would like to meet with for a hands-on one-on-one session to close out your learnings on day 3.

Case Study: Scaling the Field: How CBRE Built a High-Performance Foundation for Global Service Delivery

Tasked with managing over 60 million annual work orders across 90 countries, CBRE moved beyond manual scheduling to implement a sophisticated batch optimization engine. By transitioning from reactive planning to a "macro-planning" model, they increased actual technician "wrench time" from 62% to over 80%. This session explores how CBRE is future-proofing its global operations by creating a scalable, automated framework that balances internal resources with a 40,000-strong vendor network.

Geoffrey De Smet, CTO and Co-Founder, Timefold

Parag Dhameja, Senior Director, Product Management, CBRE

Case Study: Hundreds of Error Codes, One Solution 

Field service technicians make dozens of high-stakes decisions every day— often alone, without the right information at hand. Service logs, tribal knowledge, and standard work documentation exist in every organization. They're just rarely accessible when a technician is standing in front of a broken piece of equipment. 

Carolina Handling, the premier intralogistics material handling company in the Southeast, partnered with Squint to change that: connecting execution systems, documentation, and institutional expertise into a single Industrial Intelligence layer that every technician in the field can call upon, right from their device.  

In this session, you'll learn: 

• How Carolina Handling designed an efficient pilot to evaluate the solution and build enthusiasm for a new, AI-enabled tool
• Why starting small—with a single team—can create big transformation throughout an organization (because other teams don’t want to miss out)
• What it takes to connect tribal knowledge, standard work, and execution data into a system technicians actually use
• How an Industrial Intelligence layer gets smarter over time, turning every service interaction into an input for continuous improvement
• Why using Squint reduced escalations and improved first-time-fix rates by putting the right knowledge in front of technicians at the moment they need it

Stuart Wilson, Chief Revenue Officer, Squint.ai