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Self Storage Insight Blog

How AI Is Transforming Storage Management

In this week’s episode of the Self Storage Insight Podcast, James Shepherd sits down with Derric Hartzell, an experienced operator managing nearly 2,000 units to explore how artificial intelligence is beginning to reshape self storage. From communication tools to operational workflows, the conversation dives into what AI can realistically handle today—and where it still falls short.

The discussion highlights a key shift in how storage should be viewed: not as a passive real estate investment, but as an active, customer-facing business. Daily operations involve constant interaction—calls, payments, reservations, and customer service—and AI is starting to play a role in streamlining many of these touchpoints. For example, automating responses to common tenant needs, integrating phone systems with management software, and using text-based follow-ups can significantly reduce friction while improving the customer experience.

 

At the same time, Derric makes it clear that AI is not a complete replacement for human involvement. While many customer interactions fall into predictable categories, there is still a critical percentage that requires human judgment, empathy, and problem-solving. The most effective operators will be those who learn how to balance automation with personal interaction—using AI to handle repetitive tasks while reserving human attention for more complex situations.

Looking ahead, the role of the storage manager is expected to evolve. Rather than handling every task manually, operators will increasingly act as overseers of systems—managing software, monitoring AI-driven processes, and stepping in when needed. This “captain of the ship” model reflects a broader shift toward technical proficiency, where understanding systems and integrations becomes just as important as traditional customer service skills.

Beyond AI, the episode reinforces a foundational principle: success in self storage still comes down to involvement. Facilities that are actively managed—where operators stay engaged, monitor performance, and adapt to market conditions—consistently outperform those treated as hands-off investments. Whether it’s improving occupancy, updating systems, or identifying underperforming assets, attention to detail remains a key driver of growth.

Ultimately, the takeaway is clear: AI will continue to improve, and automation will become more powerful—but the operators who succeed will be the ones who combine these tools with strong leadership, smart decision-making, and a deep understanding of their business.

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