The Return of the Milkman 

If you grew up in the 1980s or 1990s, the idea of a milkman was more folklore than lived experience. You saw it in cartoons or black-and-white sitcoms – a man in uniform carrying glass bottles to a doorstep. It felt like a relic of a bygone era. Surely it would never return.

Fast forward to today, and not only is milk back on the doorstep, but so is everything else in your refrigerator. Technology has made it seamless to order groceries, household essentials, and even ready-to-cook meals, delivered daily with a few taps on your phone. The milkman is back – he just drives an Instacart-branded Prius or an Amazon Fresh van.

This isn’t nostalgia. It’s a cycle. Technology often appears to propel us forward, but in reality, it bends us back to practices we once thought obsolete. The form changes, but the function remains strikingly familiar.

Take grocery delivery. In the 1950s, home delivery was a necessity – fewer households had multiple cars, and local dairies were tightly woven into community life. Today, we have more cars than ever, but also less time. Digital platforms fill that gap, mirroring the personal convenience of the past while scaling it through logistics and data.

The Supermarket as a General Store

Another example comes from the general store. In the 1820s, shopping meant telling an attendant what you wanted, who then gathered items from the back. It wasn’t until the early 1900s that “self-service” emerged, with baskets, aisles, and eventually barcodes.

We now find ourselves swinging back with Buy Online, Pick Up In-Store (BOPIS) and curbside services that mimic that early model: Customers order in advance, then pick up a neatly packed bag from the counter. The shopper no longer roams aisles – the retailer does it for them.

And this is borne out by data: Placer.ai data on Target, Walmart, and Kroger shows spikes in short-duration visits – customers spending less than 10 minutes inside. That is the digital general store in action: efficient, pre-bundled, and familiar in its service, though powered by algorithms instead of store clerks.

Urban Planning, Autonomous Vehicles, and Retail

Urban planning, too, is entering a similar loop. America’s postwar suburbs were built for cars – seas of parking lots, wide arterials, and drive-through convenience. Yet when you walk in the old towns of Europe – San Sebastián, Florence, Prague – the scale is human, not automotive. Streets are narrow, plazas are alive, and walkability is the default.

Autonomous vehicles may bend us back toward that human-centric design. If fewer people need to own cars, or if vehicles can drop off passengers and then disappear into shared fleets, parking loses its primacy. The city grid can prioritize people again.

For retail, this shift is profound. Shopping centers that once maximized asphalt for parking may repurpose land for dining, green space, or entertainment. Placer.ai’s visitation metrics already show the power of “experience-first” environments: centers with strong dining and social elements draw visitors who stay longer and come more often.

A One-Room Schoolhouse, At Scale

Education is another domain where technology is looping us back. A century ago, one-room schoolhouses educated children ages 6 to 16 under a single teacher, with individualized pacing as much as possible. Then industrialized schooling standardized the process – grade levels, subject blocks, and centralized curricula.

Artificial Intelligence could return us to the one-room model, but at scale. A teacher might become less of a “lecturer” and more of a coach in learning. AI tutors can adapt to each child’s needs, while the teacher provides human guidance, empathy, and context. It’s both cutting-edge and old-fashioned: personal learning, locally grounded, supported by technology rather than limited by it.

Global Commerce and Authenticity

Perhaps the most intriguing cycle will be around authenticity. Global commerce has delivered incredible convenience, but also a flattening of experience. Walk down a high street in London, São Paulo, or Bangkok, and you’ll find the same Starbucks, H&M, and McDonald’s.

Even shops that feel “local” often sell merchandise sourced from the same global factories. Authenticity has become scarce – and scarcity, as any economist will tell you, creates value.

Placer.ai’s data often highlights how unique, local experiences can outperform national chains. Look at the night markets in Asia, where a single fried chicken vendor with a 50-year tradition can attract lines that rival global QSR brands. Or U.S. examples like Franklin Barbecue in Austin, Joe’s Pizza in New York – or even entertainment-focused Casa Bonita in Lakewood, CO, where one location is enough to generate pilgrimage-level demand.

A Hyper-Local Lens

The lesson for retail landlords is clear: the future is not only about digital convenience but also about curating hyper-local authenticity. A shopping center that balances national anchors with unique regional tenants can capture both predictability and excitement.

Placer.ai location analytics underscore this trend. Centers with a strong mix of “only-here” brands often see stronger visitation and longer dwell times. Customers aren’t just coming for errands – they’re coming for identity and discovery.

Brands that cater to local tastes are also succeeding, driving loyalty and repeat visits. Barnes & Noble, for example, has made a remarkable comeback with a strategy focused on local curation and community connection, eschewing the cookie-cutter feel of many national chains. Store managers now have the freedom to shape selections around neighborhood interests from regional authors to niche genres – creating spaces that feel personal rather than programmed. In an age dominated by algorithms, this human touch has become a competitive advantage.

The Future of Shopping Centers  

So, what does all this mean for the future of shopping centers? It means history is not linear. Technology doesn’t only push us forward; it often bends us back to models we once knew, reshaped to fit today’s context.

The milkman is now a grocery delivery app. The general store clerk is now BOPIS. The European plaza is reborn through autonomous vehicles. The one-room schoolhouse reappears through AI tutors. And authenticity – once assumed, now rare – is becoming the most valuable commodity in commerce.

As landlords and investors, the opportunity is to recognize these patterns early. Instead of asking, “What’s new?” we might ask, “What’s old that technology will make new again?”

Where are people choosing speed over browsing? Where are they trading scale for authenticity? Where are they staying longer because the environment is built for people, not cars?

These are not just data points. They are clues to the future – a future that looks surprisingly familiar.

For more data-driven retail insights, follow Placer.ai/anchor. 

Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.