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Retail Retold: AI Is Coming for Retail Operations Faster Than You Think
Joe Valeri and Alim Uderbekov joined Chris Ressa on Retail Retold to discuss where AI is gaining traction across leasing, construction, and portfolio operations, and why speed is becoming the next retail advantage.
Episode #378, Listen on the Retail Retold episode page (opens in a new tab) (DLC Management).
What does an AI-powered retail organization actually look like? Retail real estate has spent decades optimizing speed, scale, and execution, now AI is forcing the industry to rethink all three. On Retail Retold, hosted by Chris Ressa, Surfaice co-founders Joe Valeri and Alim Uderbekov discuss where AI is actually gaining traction inside retail organizations, and why the operational side of retail may be changing faster than many teams expect.
Open episode page → (opens in a new tab)
Moving beyond buzzwords, the conversation stays grounded in retailer language: practical applications across the store lifecycle, from leasing through construction and real estate operations. A recurring theme is that the next major competitive advantage will not come only from merchandising or location strategy, it will come from operational speed: opening stores faster, spotting risks earlier, and making smarter portfolio decisions with less manual glue work.
The episode also covers the uncomfortable parts of adoption, internal fear, operator skepticism, software fatigue, and executive pressure to "do something" with AI before competitors move. The takeaway is direct: AI in retail is no longer theoretical; the open question is who adopts early enough to compound the benefit.
What you'll hear
- Why AI adoption in retail is moving faster than many organizations assume
- How retailers are stripping manual work out of lease administration workflows
- The gap between generic AI tools and systems engineered for retail lifecycle data
- Why speed is becoming a competitive advantage in store development
- How AI-assisted workflows can surface project delays before they harden into crises
- The real internal dialogue about AI and jobs
Episode chapters
Timestamps refer to the audio on the episode page (opens in a new tab).
00:01 Meet the co-founders, building AI for the full store lifecycle
02:48 Why retail became a natural AI battleground (speed and scale)
04:27 The data retailers already have, leases, contracts, construction docs
05:51 From site selection to store closeout, what lifecycle management means
07:01 The three asks, speed, risk reduction, smarter operational decisions
10:31 AI overload, navigating the flood of generic tools
16:35 Retail's AI tipping point
20:25 Why adoption is harder than vendor decks suggest
23:56 Jobs, efficiency, and organizational fear
25:37 Real-world rollout patterns, including JD Sports
29:54 Why broad AI alone fails retail-specific workflows
35:30 What AI could unlock, creativity, efficiency, operational scale
37:40 The cost of standing still
Related reading
For how we think about governed automation across store development, see AI agents for retail store development, construction email triage, and multi-site construction coordination.
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