Technology powering the future of logistics
real estate

"We put information in the hands of our people in real time so they have meaningful data at critical moments and use technology to drive success for our customers."

CLARK ARDERN

Chief Technology Officer

Diverse perspectives for a common goal

Link Logistics' Technology team members have diverse professional backgrounds that extend beyond industrial real estate, from finance to quantitative analysis. The team identifies and executes on innovative solutions that drive efficiencies for Link and help our customers thrive.
Meet the Technology team

Custom-developed tools

Smarter buildings for a sustainable future

Hyperlocal data insights

Recognition

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Latest News & Insights

News | Mar. 19, 2024
Link Logistics Named 2024 CIO 100 Award Winner
Link+ customer service platform recognized for industry-leading technology and innovation New York – March 19, 2024 – Link Logistics (“Link” or the “Company”), a leading operator of the largest portfolio of logistics real estate assets located exclusively in the U.S., today announced Foundry’s CIO has named the Company as a 2024 CIO 100 Award winner […]
News | Dec. 14, 2023
Link Logistics CTO Featured in Commercial Property Executive: ‘Property Management Success: How AI Enhances Industrial’
Link Logistics CTO Clark Ardern was recently featured in Commercial Property Executive. In an article headlined “Property Management Success: How AI Enhances Industrial,” he discussed the adoption of artificial intelligence within the industrial real estate sector. Ardern, who is responsible for Link Logistics’ technology strategy as well as the implementation of its digital products and services, discussed […]
Insights | Dec. 4, 2023
Better Decisions, Faster: How AI Will Change Industrial Real Estate  
I never planned to be a data scientist. Most of my career has been focused on figuring out the intrinsic value of portfolios of real estate assets, aiming to buy when they’re priced below that value and sell when they’re priced above it. But the advances in computing capabilities over the past few years have unlocked a whole new level of analysis. The questions we might ask when analyzing properties are the same as they’ve always been. But our capacity to answer them — quickly and at scale — will never be the same.