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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.
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, 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.
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.
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.
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.
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.
Grocery stores aren’t usually top of mind when it comes to holiday retail. But as families prepare for their annual feasts, supermarkets gear up for their busiest stretch of the year – a season marked by crowded aisles, overflowing carts, and soaring sales.
How do grocery stores and other food-at-home purveyors, from superstores to dollar stores, experience the holidays? Is “Turkey Wednesday” – the day before Thanksgiving – the only key milestone that matters, or are there other moments that drive performance? And which segments and brands stand to benefit most this season?
Thanksgiving is about gratitude and family – but it’s also about good food. And as families prepare their feasts, grocery stores nationwide buzz with activity.
During Turkey Wednesday last year, grocery store visits soared 74.5% above the daily average, making it the busiest day of the past 12 months for the category – followed by December 23rd and Christmas Eve. Other food-at-home retailers, such as dollar stores and superstores, also experienced elevated traffic before Thanksgiving, but their largest surges came in the lead-up to Christmas, as shoppers stocked up on gifts, decorations, and non-food essentials alongside their groceries.
The contrast underscores how deeply Thanksgiving belongs to grocery retail. When the meal itself is the main event, consumers prioritize fresh ingredients, pantry staples, and those all-important last-minute items – areas where supermarkets lead the charge. But the data also shows there’s plenty of room for multiple formats to shine during the season, with each experiencing its own distinct holiday peak.
Within the grocery industry, Black Friday and December 23rd stand out as the two busiest shopping days of the year across segments, though the intensity of the surges varies.
Traditional supermarkets – think Kroger, Safeway, and H-E-B – dominate the pre-thanksgiving rush, as shoppers on the hunt for holiday-specific items gravitate towards their broader assortments. In 2024, visits to this segment jumped 77.9% above a 12-month daily average on Turkey Wednesday, with a smaller uptick on the day before Christmas Eve. Value grocers followed a similar trajectory, though with more modest boosts.
Meanwhile, specialty and fresh-format grocers reached their traffic peak on December 23rd, reflecting their focus on premium, seasonal, and gift-oriented products that align more with December entertaining and gifting than with Thanksgiving meal prep.
Still, within grocery segments there remains significant variation between brands. ShopRite saw one of the biggest Turkey Wednesday spikes last year, with visits nearly doubling compared to the daily average. Kroger and Food Lion also outperformed the traditional grocery average.
Meijer, by contrast, followed a different rhythm. As a supercenter hybrid that straddles grocery and general merchandise, its biggest surge came not before Thanksgiving but in the days before Christmas, mirroring broader patterns for stores that serve “everything under one roof” missions.
Trader Joe’s also peaked closer to Christmas, though its busiest day of the past year was May 10th 2025, when the chain’s seasonal line-up of flowers, sweets, and small gift items helped drive an 82.1% jump in visits ahead of Mother’s Day. The pattern reflects Trader Joe’s focus on curated staples and seasonal specialties rather than the wide selections typical of larger supermarkets.
As Thanksgiving approaches, traditional grocers once again look poised to dominate Turkey Wednesday, while value, specialty, superstore, and dollar store formats each find their own seasonal spotlights. How will shopping patterns play out across these segments this year?
Follow Placer.ai/anchor to find out.
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After a relatively subdued summer performance, malls rebounded sharply in October 2025, with foot traffic to indoor malls, open-air shopping centers, and outlet malls rising significantly both year over year (YoY) and month over month (MoM). What does this mean for the upcoming holiday season? Read on to find out.
All mall formats saw clear YoY visit gains in October 2025, potentially signaling renewed consumer enthusiasm heading into the holiday season. And although indoor malls led the growth – continuing their strong performance throughout 2025 – open-air shopping centers and outlet malls also returned to positive territory after four consecutive months of declines, underscoring the breadth and strength of the October recovery.
The MoM data underscores the scale of this recovery. In October 2025, visits rose sharply compared to September 2025 – up 6.1% for Indoor Malls, 5.5% for Open-Air Shopping Centers, and 7.9% for Outlet Malls. In comparison, October 2024 saw only slight MoM increases of 0.5%, 2.1%, and 1.4%, respectively, compared to September 2024.
While the YoY data shows steady improvement in overall mall traffic, this month-over-month jump reveals a meaningful change in consumer behavior. Rather than waiting for November’s traditional start to the holiday season, shoppers appear to be hitting stores earlier and in greater numbers, making October a much more significant month for retail activity than it was last year.
The standout performance of outlet malls in particular reinforces consumer interest in value and discounts. As households remain price-sensitive, outlet centers continue to benefit from their combination of recognizable brands and lower price points.
October’s surge suggests that the 2025 holiday shopping season may be starting earlier and spreading out more evenly than in previous years. Recent research shows that many U.S. consumers plan to start their holiday shopping sooner, driven by concerns over rising prices and a desire for better product selection. Retailers are responding with expanded October promotions that pull forward demand.
At the same time, shoppers remain highly value-driven, with most saying inflation has made them more price-conscious. That dynamic likely helped fuel outlet malls’ nearly 8% MoM increase, as consumers sought recognizable brands at lower prices.
Together, these trends suggest that consumers are approaching the 2025 holiday season with more intention – shopping earlier, seeking value, and spreading spending over a longer period. For malls, that could mean a steadier flow of visits throughout Q4, rather than the sharp peaks of prior years.
For more data-driven consumer insights, visit 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.
Each year, Starbucks drives excitement with its seasonal launches – from PSL Day, marking the return of the popular Pumpkin Spice Latte, to Red Cup Day in November, when customers can snag a free reusable cup with any beverage purchase.
But this year, Starbucks kicked off the holiday season with an even bigger event – the launch of a $29.95 bear-shaped glass that broke the internet and sent fans into a frenzy. How did the Bearista craze impact Starbucks visitation trends – and what can we learn from its standout success?
On November 6th, the day of the Bearista launch, visits to Starbucks jumped 37.8% above the last 12 months' daily average, outpacing even the brand’s successful August PSL debut. (The Friday following the PSL launch drove a 23.1% spike in visits compared to the daily visit average over the last 12 months.) Even after the initial rush, traffic remained elevated for several days as fans hunted for remaining inventory and social media buzzed with stories of sellouts. The buzz wasn’t just big; it was lasting.
And despite its hefty price tag, the Bearista Cup drop drove a traffic boost similar to last year’s Red Cup Day boost, when the promise of a free cup drove a 40.7% surge in visits compared to an average Thursday. While the Bearista spike was slightly smaller, its momentum endured for days as excitement – and anxiety over scarcity – continued to build.
People lining up to pay $30 for a bear-shaped glass – albeit a super cute one – wasn’t on anyone’s bingo card this year. So what can we learn from the event’s smashing success?
For one thing, even in an era of trading down, consumers are still willing to splurge on items that feel special – especially those that offer a sense of belonging to a cultural moment. Value matters, but it isn’t everything.
For another, not everything needs to be free or deeply discounted to draw major crowds. The Bearista proved that creativity and emotion can rival even the most generous giveaways.
And finally, scarcity (still) sells. The hype was so intense that fights broke out at some stores and eBay resales topped $1,000 – prompting Starbucks to apologize to disappointed fans and promise more holiday merch on the way.
With Red Cup Day just around the corner, will the Bearista momentum help drive an even bigger visit spike this year?
Follow Placer.ai/anchor to find out.
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.
As the 2025 holiday season approaches, several retail categories are showing surprising resilience – from luxury home goods to consumer electronics and grocery. Despite a challenging economic backdrop, a few standout brands are not only holding steady but gaining meaningful traction through smart expansion, effective online-offline integration, and compelling value offerings.
Framebridge, Best Buy, and ALDI each represent a distinct facet of the retail landscape, but they have one thing in common: strong visitation trends heading into the year’s most critical shopping period.
Framebridge has emerged as one of 2025’s standout retail success stories. Over the past 12 months, visits to the brand have climbed 108.8% year over year (YoY) as it rapidly expanded its footprint and deepened its connection with customers.
This momentum stems from Framebridge’s ability to deliver an in-store experience that online competitors simply can’t replicate. Shoppers are invited to see and feel materials firsthand, while design experts offer personalized guidance and creative inspiration to craft meaningful, high-quality pieces. The result is a shopping experience that feels personal, tactile, and memorable – transforming framing from a routine purchase into something experiential and human.
In 2025, Framebridge brought this approach to new audiences with its first stores in California, marking its West Coast debut. And as the chain has expanded, its customer base has grown more affluent: the median household income in Framebridge’s captured market rose from $127.7K in early 2024 to $141.8K by mid-2025, while average household size also increased. Together, these shifts reflect rising resonance among higher-income, family-oriented consumers who value personalization, design, and craftsmanship – leaving the brand well positioned for a strong season of meaningful gift giving.
Not long ago, many analysts were skeptical about Best Buy’s prospects. The electronics retailer was viewed as vulnerable in a tightening consumer environment, with lingering doubts about its ability to stay relevant amid e-commerce dominance and fast-changing tech trends. But recent data suggests that Best Buy is regaining momentum – and that its strategy to blend digital convenience with in-store expertise is beginning to deliver results.
Between November 2024 and October 2025, foot traffic to Best Buy declined just 1.7% YoY, an impressive result given ongoing store closures and the continued expansion of its online business. At the same time, a steady rise in short in-store visits highlights the success of Best Buy’s online-to-offline integration. And though tariff uncertainty continues to loom, Best Buy’s balanced approach leaves it poised to enjoy a successful Q4 – traditionally Best Buy’s strongest period of the year.
In the grocery sector, few brands are gaining momentum like ALDI – the no-frills discount grocer that continues to attract shoppers with its focus on simplicity, savings, and quality. Over the past several years, ALDI has sustained consistent visit growth while expanding its store network. And during the same period, the brand’s share of total industry visits has risen from 4.3% in 2022 to 5.7% in 2025 to date, underscoring its growing influence as a leading value-driven grocery chain.
As “Turkey Wednesday” and the pre-Christmas grocery rush approach, ALDI appears set to capture an even greater share of holiday traffic. With strong visitation trends, expanding market reach, and a clear value proposition, the retailer stands out as one of 2025’s most resilient performers.
Framebridge, Best Buy, and ALDI demonstrate that experience, convenience, and value remain key drivers of retail performance. By focusing on what draws shoppers into stores, these brands are paving the way for a robust holiday season.
For the most up-to-date retail data, check out Placer.ai’s free tools.
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.
After decades as America’s quintessential diner, Denny’s is entering a new era under the ownership of TriArtisan Capital Advisors, Treville Capital, and Yadav Enterprises. The move to take the company private comes at a time when the brand faces headwinds from store closures and evolving consumer habits – but also holds opportunities to reenergize its position in the family dining space.
We dove into the data to see where Denny’s stands today and what might be next for this legacy chain.
Visits to Denny’s fell 6.2% year over year (YoY) between November 2024 and October 2025, following a smaller 1.7% decline the prior year. This downturn partly reflects store closures, as Denny’s has been shuttering underperforming locations over the past two years to reposition the brand for sustainable growth.
The decline also reflects heightened competition from upscale breakfast chains such as First Watch – a challenge shared by peers like IHOP and Waffle House. Against this backdrop, Denny’s ability to limit traffic losses to single digits highlights its underlying brand resilience. And together with traffic gains at Keke’s Breakfast Café – the fast-growing concept Denny’s acquired in 2022 – this resilience provides a strong foundation for Denny’s and its new ownership group to reinvigorate the company’s success.
Visitor loyalty at Denny’s remains another bright spot. Between November 2024 and October 2025, roughly one in six Denny’s visitors returned within the same month, giving it a 17.3% average monthly loyal visitor share – the second highest among major breakfast chains after Waffle House (24.0%). This depth of loyalty shows that even with fewer restaurants, Denny’s retains a solid base of habitual diners who see it as their go-to comfort food spot. That connection also gives Denny’s – and other traditional diner concepts – a meaningful point of differentiation from more upscale competitors as the brand’s new ownership works to reenergize its business.
The data tells a clear story: Denny’s is in transition, not decline. Its loyal customer base provides stability, and its ability to limit traffic losses amid strategic rightsizing underscores real resilience. Now, as a privately held company, Denny’s has the flexibility to plan for the long term, positioning itself to evolve thoughtfully and make a comeback, one Grand Slam at a time.
For more data-driven dining analyses check out Placer.ai’s free industry trends tool.
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.
To optimize office utilization and surrounding activity in 2026, stakeholders should:
1. Plan for continued, but slower, office recovery. Attendance continues to rise and has reached a post-pandemic high, but moderating growth suggests the return-to-office may progress at a more gradual and incremental pace than in prior years.
2. Account for growing seasonality in office staffing, local retail operations, and municipal services. As office visitation becomes increasingly concentrated in late spring and summer, offices, downtown retailers, and cities may need to plan for more predictable peaks and troughs by adjusting hours, staffing levels, and local services accordingly, rather than relying on annual averages.
3. Align leasing strategies with seasonal demand. Stronger attendance in Q2 and Q3 suggests these quarters are best suited for leasing activity, while softer Q1 and Q4 periods may be better used for renovations, repositioning, and targeted activation efforts designed to draw workers in.
4. Design hybrid policies around midweek anchor days. With Tuesdays and Wednesdays consistently driving the highest office attendance, employers can maximize collaboration and space utilization by concentrating meetings, programming, and in-office expectations midweek.
5. Reduce early-week commute friction to support attendance. Monday office attendance appears closely correlated with commute ease, suggesting that reliable and efficient transportation may be an important factor in early-week office recovery.
6. Prioritize proximity in leasing and development decisions. Visits from employees traveling less than five miles to work have increased steadily since 2019, reinforcing the value of centrally located offices and housing near employment hubs.
2025 was the year of the return-to-office (RTO) mandate. Employers across industries – from Amazon to JPMorgan Chase – instituted full-time on-site requirements and sought to rein in remote work. But the year also underscored the limits of policy. As employee pushback and enforcement challenges mounted, many organizations turned to quieter tactics such as “hybrid creep” to gradually expand in-office expectations without triggering outright resistance.
For employers seeking to boost attendance, as well as office owners, retailers, and cities looking to maximize today’s visitation patterns, understanding what actually drives employee behavior has become more critical than ever. This reports dives into the data to examine office visitation patterns in 2025 – and explore how structural factors such as weather, commute convenience, and workplace proximity have emerged as key differentiators shaping how and when, and how often workers come into the office.
National office visits rose 5.6% year over year in 2025, bringing attendance to just 31.7% below pre-pandemic levels and marking the highest point since COVID disrupted workplace routines. At the same time, the pace of growth slowed compared to 2024, signaling a possible transition into a steadier phase of recovery.
With new return-to-office mandates expected in 2026, and the balance of power quietly shifting towards employers, additional gains remain likely. But the trajectory suggested by the data points toward gradual progress rather than a return to the more rapid rebounds seen in 2023 or 2024.
Before COVID, “I couldn’t come in, it was raining” would have sounded like a flimsy excuse to most bosses. But today, weather, travel, and individual scheduling are widely accepted reasons to stay home, reflecting a broader assumption that face time should flex around convenience.
This shift is visible in the growing seasonality of office visitation, which has intensified even as overall attendance continues to rise. In 2019, office life followed a relatively steady year-round cadence, with only modest quarterly variation after adjusting for the number of working days. In recent years, however, greater seasonality has emerged. Since 2024, Q1 and Q4 have consistently underperformed while Q2 and Q3 have posted meaningfully stronger attendance – a pattern that became even more pronounced in 2025. Winter weather disruptions, extended holiday travel, and the growing normalization of “workations” appear to be pulling some visits out of the colder, holiday-heavy months and concentrating them into late spring and summer.
For employers, office owners, downtown retailers, and city planners, this emerging seasonality matters. Staffing, operating budgets, and programming decisions increasingly need to account for predictable soft quarters and peak periods, making quarterly planning a more useful lens than annual averages. Leasing activity may also convert best in Q2 and Q3, when districts feel most active. Slower quarters, meanwhile, may be better suited for renovations, construction, or employer- and city-led programming designed to give workers a reason to show up.
The growing premium placed on convenience is also evident in the persistence of the TGIF workweek – and in the factors shaping its regional variability.
Before COVID, Mondays were typically the busiest day of the week, followed by relatively steady attendance through Thursday and a modest drop-off on Fridays. Today, Tuesdays and Wednesdays have firmly established themselves as the primary anchor days, while Mondays and Fridays see consistently lower activity. And notably, this pattern has remained essentially stable over the past three years – despite minor fluctuations – as workers continue to cluster their in-office time around the days that offer the most perceived value while preserving flexibility at the edges of the week.
At the same time, while the hybrid workweek remains firmly entrenched nationwide, its contours vary significantly across regions – and the data suggests that convenience is once again a key differentiator.
Across major markets, a clear pattern emerges: Cities with higher reliance on public transportation tend to see weaker Monday office attendance, while markets where more workers drive alone show stronger early-week presence. While industry mix and local office culture still matter, the data points to commute hassle as another factor potentially shaping Monday attendance.
New York City, excluded from the chart below as a clear outlier, stands as the exception that proves the rule. Despite nearly half of local employees relying on public transportation (48.7% according to the Census 2024 (ACS)), the city’s extensive and deeply embedded transit system appears to reduce perceived friction. In 2025, Mondays accounted for 18.4% of weekly office visits in the city, even with heavy transit usage.
The contrast highlights an important nuance: Where transit is fast, frequent, and integrated into daily routines, it can support office recovery, offering a potential roadmap for other dense urban markets seeking to rebuild early-week momentum.
Another powerful signal of today’s convenience-first mindset shows up in commute distances. Since 2019, the share of office visits generated by employees traveling less than five miles has steadily increased, largely at the expense of mid-distance commuters traveling 10 to 25 miles.
To be sure, this metric reflects total visits rather than unique visitors, so the shift may be driven by increased visit frequency among workers with shorter, simpler commutes rather than a change in where employees live overall. Still, the pattern is telling: Workers with shorter commutes appear more likely to generate repeat in-person visits, while longer and more complex commutes correspond with fewer trips. Over time, this dynamic could shape office leasing decisions, residential demand near employment centers – whether in urban cores or in nearby suburbs – and the geography of the workforce.
Taken together, the data paints a clear picture of the modern return-to-office landscape. Attendance is rising, but behavior is no longer driven by mandates alone. Instead, workers are making rational, convenience-based decisions about when coming in is worth the effort.
For cities, the implication is straightforward: Ease of access matters. Investments in transit reliability, last-mile connectivity, and housing near employment centers can all play a meaningful role in shaping how consistently people show up. For employers, too, the lesson is that the path back to the office runs through convenience, not just compulsion, as attendance gains are increasingly driven by how effectively organizations reduce friction and increase the perceived value of being on-site.
1. AI is raising the bar for physical retail as shoppers arrive more informed, more intentional, and less tolerant of friction – though the impact varies by category and format.
2. As discovery shifts upstream, stores increasingly serve as confirmation rather than discovery points where shoppers validate decisions through hands-on experience and expert guidance.
3. AI-based tools can improve in-store performance by removing operational friction – shortening trips in efficiency-led formats and supporting deeper engagement in experience-led ones.
4. By embedding expertise directly into frontline workflows, AI helps retailers deliver consistent, high-quality service despite high turnover and limited training windows.
5. AI enables precise, location-specific marketing and execution, allowing retailers of any size to align assortments, staffing, and messaging with real local demand.
6. Retailers can also use AI to manage their store fleets with greater discipline and understand where to expand, where to avoid cannibalization, and where to rightsize based on observed demand rather than static assumptions.
7. AI is not a universal lever in physical retail; its value depends on the store format, and in discovery-driven models it should support operations behind the scenes rather than reshape the customer experience.
Physical retail has faced repeated claims of obsolescence, from the rise of e-commerce to the shock of COVID. Each time, analysts predicted a structural decline in brick-and-mortar. And each time, physical retail adapted.
AI has triggered a similar round of predictions. Much of the current discussion frames retail’s future as a binary outcome: either stores become heavily automated, or e-commerce becomes so optimized that physical locations lose relevance altogether.
But past disruptions point in a different direction. E-commerce changed how physical retail operated by raising expectations for omnichannel integration, speed, and clarity of purpose. Retailers that adjusted store formats, merchandising, and operations accordingly went on to drive sustained growth.
AI likely represents another inflection point for physical retail. As shoppers arrive with more information, clearer intent, and even less tolerance for friction than in the age of "old-fashioned" e-commerce, physical stores will remain – but the standards they are held to continue to rise.
This report presents four ways retailers are using AI to get – and stay – ahead as physical retail adapts to this next wave of disruption.
E-commerce moved discovery earlier in the shopping journey. Instead of beginning the process in-store, many shoppers now arrive at brick-and-mortar locations after having deeply researched products, comparing options, and narrowing choices online – entering the store to validate rather than initiate their purchasing decision.
AI-powered shopping accelerates this pattern. Conversational assistants, recommendation engines, and AI-driven discovery across search and social reduce the time and effort required to evaluate options – and this shift is changing consumers' expectations around the in-store experience.
Apple shows what it looks like when a physical store is built for well-informed shoppers. Given the prevalence of AI-powered search and assistants in high-consideration categories like consumer electronics, Apple customers likely arrive at the Apple Store with more preferences already shaped by AI-assisted research than other retail categories.
Apple Stores were designed for this kind of customer long before AI became widespread. The layout puts working products directly in customers’ hands, merchandising emphasizes live use over promotional signage, and associates are trained to answer detailed technical questions rather than walk shoppers through basic options.
That alignment is showing up in store behavior. Even as AI-powered shopping expands, Apple Stores continue to see rising foot traffic and longer visits thanks to the store's specific and curated role in the customer journey – a place where customers confirm decisions through hands-on experience and expert guidance.
Some applications of AI extend trends that e-commerce has already introduced. Others address operational challenges that previously required manual coordination or tradeoffs.
AI can reduce friction and make store visits more predictable by improving staffing allocation, reducing checkout delays, optimizing inventory placement, and managing traffic flow. These changes reduce friction without altering the visible customer experience.
Sam's Club offers a clear, recent example of AI solving a specific in-store bottleneck. For years, customers completed checkout only to face a second line at the exit, where an employee manually scanned paper receipts and spot-checked carts.
In early 2024, Sam’s Club introduced computer vision-powered exit gates, allowing customers to exit the store without stopping as AI algorithms instantly captured images of the items in their carts and matched them against digital purchase data. Employees previously tasked with receipt checks could now shift their focus to member assistance and in-store support.
The impact was measurable. Sam’s Club reported that customers now exit stores 23% faster than under manual receipt checks, a result confirmed by a sustained nationwide decline in average dwell time. During the same period, in-store traffic increased 3.3% year-over-year – demonstrating how removing friction with AI can deliver tangible gains.
AI optimizes stores for different outcomes. At Sam’s Club, it shortens visits by removing friction from task-driven trips. At Apple, upstream research leads to longer visits focused on testing, questions, and decision validation. In both cases, AI aligns store execution with shopper intent – prioritizing speed and throughput in efficiency-led formats and deeper engagement in experience-led ones.
Beyond shaping store roles and streamlining operations, AI can also address a long-standing challenge in physical retail: delivering consistent, high-quality expertise on the sales floor despite high turnover and seasonal staffing. In the past, retailers relied on heavy training investments that often failed to pay off. AI can now embed that expertise directly into frontline workflows, allowing associates to deliver confident, informed service regardless of tenure and strengthening the in-store experience at scale.
In May 2025, Lowe’s rolled out a major in-store AI enhancement called Mylow Companion, an AI-powered assistant that equips frontline staff with real-time, expert support on product details, home improvement projects, inventory, and customer questions.
Mylow Companion is embedded directly into associates’ handheld devices, delivering instant guidance through natural, conversational interactions, including voice-to-text. This enables even newly hired employees to provide confident, expert-level advice from day one, while helping experienced associates upsell and cross-sell more effectively. The tool complements Mylow, a customer-facing AI advisor launched the same year to help shoppers plan projects and discover the right products, leading to increased customer satisfaction.
While AI alone cannot solve demand challenges—especially amid macroeconomic pressure on large-ticket discretionary spending—early signals suggest it may still play a meaningful role. Location analytics indicate narrowing year-over-year visit gaps at Lowe’s post-deployment, pointing to a potentially improved in-store experience. And Home Depot’s recent announcement of agentic AI tools developed with Google Cloud suggests that these technologies are becoming table stakes in this category.
As more retailers roll out similar capabilities, those that moved earlier are better positioned to help set the bar – and benefit as the market adapts.
Beyond improving the in-store experience, AI also gives retailers a powerful way to drive foot traffic through precision marketing. By processing large volumes of behavioral, location, and timing data, AI can help retailers decide who to reach, when to engage them, where to activate, and what message or assortment will resonate – shifting marketing from broad seasonal pushes to campaigns grounded in local demand.
Target offers an early example of this approach before AI became widespread. Stores near college campuses have long tailored assortments and messaging around the academic calendar, especially during the back-to-school season. In August, these locations emphasize dorm essentials, compact storage, bedding, tech accessories, and affordable décor – supported by campaigns aimed at students and parents preparing for move-in. That localized approach has been effective in driving in-store traffic to Target stores near college campuses, with these venues seeing consistent visit spikes every August and outperforming the national average across multiple back-to-school seasons from 2023 to 2025.
AI makes local execution repeatable at scale. By analyzing visit patterns, past performance, and timing signals across thousands of locations, retailers can decide which products to promote, how to staff stores, and when to run campaigns at each location. Marketing, merchandising, and store operations then act on the same demand signals instead of separate assumptions.
Crucially, AI makes this level of localization accessible to retailers of all sizes. What once required the resources and institutional knowledge of a big-box giant can now be achieved through precision marketing and demand forecasting tools, allowing brands to adapt each store’s messaging, assortment, and execution to the unique rhythms of its community.
Beyond improving performance at individual stores, AI can also give retailers a clearer view of how their entire store fleet is working – and where it should grow, contract, or change. By analyzing foot traffic patterns, trade areas, customer overlap, and visit frequency across locations, AI helps retailers identify which sites are truly reaching their target audiences and which are underperforming relative to local demand.
AI also plays a critical role in smarter expansion. Retailers can use it to identify markets and neighborhoods where demand is growing, customer overlap is low, and incremental visits are likely – reducing the risk of cannibalization when opening new stores. By modeling how shoppers move between existing locations, AI can flag when a proposed site will attract new customers versus simply shifting traffic from nearby stores, grounding expansion decisions in observed behavior rather than demographic proxies or intuition alone.
Equally important, AI helps retailers recognize when expansion no longer makes sense. By tracking total fleet traffic, visit growth, and trade-area saturation, retailers can assess whether new stores are adding net demand or diluting performance. The same signals can identify locations where demand has structurally declined, informing rightsizing decisions and store closures. In this way, AI supports a more disciplined approach to physical retail – one that treats the store fleet as a dynamic system to be optimized over time, rather than a footprint that only grows.
The impact of AI on physical retail will vary significantly by category and format. Not every successful store experience is built around efficiency, prediction, or pre-qualification. Retailers with clearly differentiated offline value don’t necessarily benefit from forcing AI into customer-facing experiences that dilute what makes their stores work.
“Treasure hunt” formats are a clear example. Off-price retailers like TJ Maxx, Marshalls, Ross, and Burlington continue to drive strong traffic by offering unpredictability, scarcity, and discovery that cannot be replicated – or meaningfully enhanced – through AI-driven search or recommendation. The appeal lies precisely in not knowing what you’ll find. For these retailers, heavy investment in AI-led personalization or pre-shopping guidance risks undermining the core experience rather than improving it.
Similar dynamics apply in other categories. Independent boutiques, vintage stores, resale shops, and certain specialty retailers succeed by offering curation, serendipity, and human taste rather than optimization. In these cases, AI may still play a role behind the scenes – supporting inventory planning, pricing, or site selection – but it should not reshape the customer-facing experience. AI is most valuable when it reinforces a retailer’s existing value proposition. Formats built around discovery, surprise, or experiential browsing should protect those strengths, even as other parts of the retail landscape move toward greater efficiency and intent-driven shopping.
AI is forcing physical retail to evolve with intention. By creating a supportive environment for customers who arrive with made-up minds, removing friction inside the store, offering the best in-store services, and orchestrating demand with greater precision, retailers are adapting to the new world standards set by AI. All five strategies focus on aligning stores with shopper intent – what customers want, how the store supports it, and when the interaction happens.
The retailers that win in this next era won’t be the ones that use AI to simply automate what already exists. They’ll be the ones that use it to sharpen the role of physical retail – turning stores into places that help shoppers validate decisions, deliver value beyond convenience, and show up at exactly the right moment in a customer’s journey.
In the age of AI, physical retail wins by becoming more intentional – designed around informed shoppers, optimized for the right outcome in each format, and activated at moments when demand is real.
If 2025 proved anything, it’s that the American consumer hasn’t stopped spending – they’ve just become incredibly selective about who earns their dollar. As we look toward 2026, success isn't just about weathering headwinds; it's about identifying the specific operational levers that drive traffic.
We analyzed the data to identify ten retail and dining standouts (presented in no particular order) that are especially well-positioned for the year ahead. From grocery icons mastering hyper-authenticity to fitness challengers proving that low price doesn't mean low quality, these companies have demonstrated a powerful understanding of their audience and the operational agility to meet them where they are.
Here – in no particular order – are the brands setting the pace for 2026.
When we pick retailers for our Ten Top list, there are some that rest on the edgier side and others that look fairly down the middle. Picking H-E-B, a grocer that has seen monthly visits up year over year (YoY) for all but one month since April of 2021, is clearly not one of the bolder claims. But consistent success shouldn’t preclude a retailer from receiving its well deserved kudos, and there are some unique reasons that H-E-B specifically needs to be included this year.
H-E-B exemplifies the single most important trend in retail: the need for a brand to have authenticity and a clear reason for being. The retailer understands its audience, and as a result, it’s able to optimize its merchandising, promotions, and experience to best serve that loyal customer base. This pops in the data when we see the loyalty H-E-B commands, especially when compared to the grocery average.
In addition, the chain has also embraced adjacent innovation, leveraging its existing fleet by adding True Texas BBQ to a growing number of locations. The offering not only helps maximize the revenue potential of each visit, it taps into the core identity of the brand, further deepening customer connection and authenticity. The strategy also signals H-E-B’s understanding of emerging consumer behaviors – particularly the increase in shoppers turning to grocery stores for affordable, restaurant-quality lunches. And this combination of expanding revenue channels while heightening H-E-B’s uniqueness should also carry over into the value and impact of its retail media network.
In short, H-E-B has not only identified a critical route to success, it continues to embrace channels that widen revenue potential while doubling down on foundational strengths.
In 2024, Michaels held nearly 32.0% of overall visit share among the top four retailers in the wider crafts and hobby space. By the second half of 2025, that number had skyrocketed to just over 40.0% – driven largely by the closures of key competitors JoAnn Fabrics and Party City.
And it isn’t just that the removal of competitors is increasing the share of overall visits; the rate of capture appears to be accelerating. In Q2 2025, visits rose 7.3% YoY as Michaels began absorbing traffic from Party City, which closed the bulk of its locations by March. Growth strengthened further in Q3, with visits up 13.1% YoY following the completion of JoAnn’s shutdown in May. But during the all-important Q4, traffic surged even higher YoY, suggesting that that consolidation alone doesn’t fully explain the gains.
While the tailwinds of competitor closures clearly help, there are other strategies that are helping the retailer maximize this wave. Whether it be NFL partnerships to boost the retailer’s Sunday role in American households, a push into the framing space with 10-minute custom framing, the addition of JoAnn’s branded merchandise to its offerings, or even a challenge to Etsy’s online dominance with a new marketplace – Michaels is making moves to take full advantage of their improved positioning. There is also an argument to be made that Michaels is the retailer best poised to benefit from the segment’s consolidation, given that it is also the most oriented to a higher income consumer among top players in the category. This could help unlock other more focused concepts and promotions, and better align with an audience now looking for a retail replacement.
Walmart is the dominant player in physical retail.
And they leverage this position to push forward new offerings that extend revenue potential while maximizing per-store impact. They are a pioneer in the retail media space and have been using their unique reach to push that side of the business forward. Add to that the fact that they have been among the savviest players in all of retail in identifying the ideal approach to omnichannel, utilizing their massive physical footprint to improve their reach via BOPIS and store-fulfilled e-commerce.
All good reasons for inclusion, right?
But, here’s the kicker - from a pure visit perspective, things are going from good to better. Between January and September 2025, Walmart visits were essentially flat year over year – a good position for a retailer with such a massive reach and such strength shown in recent years. Yet, since October, visits have actually been on the rise, with Q4 2025 showing a 2.5% YoY traffic increase and several weeks exceeding 4.0% YoY.
A retail giant with even more potential growth than we might have expected – and one that’s pushing the very strategies we believe are the key to future success? That’s certainly a reason for inclusion.
Including a department store again on this year’s list? It seems counterintuitive to many of the narratives that ran through 2025, especially as middle-class consumers continue to be squeezed financially. However, Dillard’s still appears to be an exception to the rule, with performance more closely aligned to that of luxury department store brands like Bloomingdales & Nordstrom than to its true competitive set.
In 2025, visitation to Dillard’s was essentially flat YoY – though the chain has consistently outperformed the wider department store category. Dillard’s stands at a unique point somewhere between a mid-tier and luxury department store, and that distinction may be its secret to success. The retailer continues to wow with strong private label offerings that rival and often exceed national brands, a diverse merchandise mix, and locations that often benefit from indoor mall traffic trends.
While Dillard’s lags behind the wider department store category, for example, in terms of repeat visitation and the share of wealthy visitors, these factors may actually create an advantage. Efforts by Dillard's to refresh its product mix through limited-edition capsule collections and new brand launches may be helping it attract a steady inflow of economically diverse new shoppers. And the ability to continually win over new segments without alienating a “core customer” could be a strength amid economic headwinds and waning consumer sentiment.
At the same time, a more diverse visitor profile means that Dillard’s can truly be the department store for many consumers, with a product range that strikes a chord with different shopper segments.
Department stores truly aren’t dead, and those who have found their reason to exist continue to garner attention with shoppers.
If the retail industry had a symbol for 2025, it was probably Labubu. The toy-and-collectible-turned–bag charm took consumers by storm in the second quarter of the year, and POP MART – the retailer responsible for bringing Labubus stateside – quickly became an overnight sensation. Visits to the chain surged over the summer at the height of the craze, while trade areas expanded as customers traveled significant distances to get their hands on a doll.
And although the frenzy cooled somewhat in early fall, visits to POP MART locations like the one in Tulalip, WA began trending upward once again in November 2025 as the holiday season approached, surging even higher in December. Trade area size also increased dramatically during the holiday shopping period, as consumers rushed to get their hands on the chain’s coveted line of festive blind boxes.
As demonstrated by the recent Starbucks Bearista craze, consumers are all-in on cool collectible items that make life more fun – a trend POP MART, strategically located in high-traffic malls popular with younger shoppers, is uniquely positioned to ride. During times of economic uncertainty, consumers crave small ways to indulge, and affordable collectibles that are cute, cuddly, and fun have worked their way into the American zeitgeist.
So, what is next for POP MART? Can it continue to sustain its momentum? It seems likely that Labubus are here to stay, at least for a little while longer, before the retailer hopefully strikes it big with the next “must have”.
When all is said and done, 2021-2025 will likely be viewed as a pivotal turning point for the U.S. coffee industry. As the country recovered from the pandemic, consumer interaction with coffee brands fundamentally shifted. With more employees working from home – bypassing the traditional pre-work coffee run – visit trends migrated to later in the morning and afternoon. Meanwhile, industry-wide dwell times shortened as consumers renewed their focus on convenience.
This move away from the sit-down café experience placed significant pressure on industry leaders, accelerating the shift toward drive-thru and mobile order-and-pay options. This moment of friction also created space for drive-thru-centric challengers like Dutch Bros, which rapidly expanded on the strength of speed and menu innovation.
Among these challengers, 7 Brew stands out as a fast-rising powerhouse heading into 2026. Expanding outward from its Arkansas roots, 7 Brew has been strategic about market entry and site selection for its unique double-drive-thru format. And with a concept that resonates with younger demographics and a footprint adaptable to various geographies, the coffee chain has become a go-to destination for rural and small-town communities, while also maintaining solid reach among more traditional coffee segments like wealthy suburbanites and urban singles. Thanks in part to this broad appeal, 7 Brew is well-positioned for future growth, even as it faces stiffer competition in new markets.
It is no secret that most of the growth in the QSR space over the past two decades has been driven by chicken concepts. Chick-fil-A, rising from a regional chain to a national player throughout the late 1990s and 2000s, was the first to disrupt the burger’s stranglehold on QSR. Raising Cane’s followed in the 2010s with a model built on menu simplicity and operational excellence, earning its place as one of the largest chains in the category. More recently, hot chicken has emerged as one of the fastest-growing segments – and Dave’s Hot Chicken is leading the charge.
No single factor accounts for Dave’s growth from a lone unit in Los Angeles to over 350 units today. Certainly, a wide assortment of sauces and flavor profiles has resonated with U.S. consumers who are increasingly seeking spicier products, while Dave’s 'rebel' brand positioning has successfully attracted younger audiences. And at a time when many QSR and fast-casual chains are abandoning urban locations in favor of suburban markets, Dave’s Hot Chicken continues to open predominantly in urban settings – a strategy that may prove advantageous as migration patterns shift back toward major cities this year.
With so much of the industry’s expansion driven by chicken concepts, it is natural to ask: Have we reached 'peak chicken'? While we are certainly seeing other categories gain traction – think CAVA – Dave’s unique product mix and edgier marketing should help it stand out, even amidst increased competition.
While many discretionary retail categories – including consumer electronics, sporting goods, home improvement, and furniture – are still waiting for post-pandemic demand to recover, housewares retailers have generally enjoyed solid visit trends in 2025. Although consumers may not be financially positioned for large-scale remodels, we are now five years past the pandemic, and many residents (many of whom still work from home) are looking to refresh their living spaces.
It may therefore come as no surprise that TJX Companies’ HomeGoods and Homesense brands had an exceptional 2025 and are well-positioned to repeat this success in 2026.
This year, we observed a behavioral shift among middle-income consumers, including a clear “trade down” from mid-tier department stores and other discretionary categories. In addition, accumulated housing wear-and-tear, the recent bankruptcies of value-oriented competitors such as Conn’s and At Home, and the enduring appeal of the treasure hunt retail model, have all reinforced the brands’ momentum. Taken together, these trends leave HomeGoods and Homesense poised for both continued unit growth and increased traffic in the year ahead.
With the heightened emphasis on health and wellness post-pandemic, fitness is proving to be a category with remarkable staying power well beyond New Year’s resolution season – even in an era of macroeconomic uncertainty. Whether it’s pumping iron, hitting the treadmill, or joining fitness classes, staying healthy no longer requires breaking the bank – for just a dollar a day or less, gymgoers can build strength and endurance, achieve their rep goals, and hit their mileage targets. And affordable fitness chains – those that charge less than $30 per month – are reaping the benefits, outperforming more expensive gyms for YoY visit growth.
Among this value-oriented fitness cohort, EōS saw outsized traffic growth in 2025, with both overall visits and average visits per location outpacing competitors as the chain expands its footprint. EōS’s motto, “High Value, Low Price,” appears to be resonating strongly – especially in a year when similar value propositions are driving momentum across off-price retailers, value grocers, and dollar stores. Longer-than-average dwell times at EōS provide another encouraging signal, suggesting that its amenities, including pools, saunas, basketball courts, and equipment assortments typically found in higher-priced gyms, are truly connecting with visitors. And since visitors who stay longer are more likely to return – and to renew their memberships – EōS is well-positioned to convert this year’s traffic gains into lasting market share.
Eating and entertainment are a match made in heaven — and by leaning into a subscription model that meets price-sensitive customers where they are, Chuck E. Cheese has solidified its position as a standout in the eatertainment category.
Nearly 50 years old, this evergreen children’s entertainment concept has stood the test of time and now boasts roughly 500 venues nationwide. Its perennial tagline – “where a kid can be a kid” – still resonates with today’s children and with the parents who grew up with the brand. After languishing for several years in the wake of COVID, the company turned things around with a revamped Summer Fun Pass launched on April 30th, 2024. The offer of unlimited play per month sparked a dramatic boost in customer loyalty, and the model proved so successful that the company extended it year-round with a family pass as low as $7.99 per month.
This strategy has helped sustain visit growth throughout 2025. Despite closing several locations during the year, visits to Chuck E. Cheese rose 8.3% YoY – well above the flat eatertainment average. And the company’s loyalty rates outpaced last year from August through November, indicating that the offering isn’t losing steam and that customers continue to respond enthusiastically.
The diversity of brands featured in this report highlights that there is no single path to success in 2026.
H-E-B and Chuck E. Cheese demonstrate the power of deepening loyalty through authentic experiences and value-driven memberships. Michaels and HomeGoods show how savvy retailers can capitalize on competitor consolidation and changing consumer spending habits. Meanwhile, Walmart and 7 Brew prove that even in saturated markets, operational innovation can drive fresh momentum.
As we move deeper into 2026, the brands that win will be those that, like the ten profiled here, combine a clear understanding of their unique value proposition with the agility to execute on it.
