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Dining closed out Q1 2026 on uneven ground. While February offered renewed momentum across segments, macroeconomic headwinds continue to influence dining behavior – putting some categories on more favorable growth trajectories than others. We dive into the data below.
Quarterly dining data underscores a clear standout. Fast casual posted a 3.3% year-over-year (YoY) increase in Q1 2026 visits – outperforming other dining formats and signaling strong demand for the segment.
The trend likely reflects the current economic climate. Fast casual’s perception of quality, at a price point still below full-service dining, appears to be resonating as consumers weigh discretionary spending.
By contrast, traffic for the QSR segment remained essentially on par with last year in Q1 2026 – a sign that LTOs and value offerings are helping maintain traffic, even as the segment faces pressure from lower-income pullback.
Lastly, full-service restaurants showed the weakest performance, with visits declining 2.4% YoY in Q1 2026 – potentially reflecting softer demand as consumers scale back on higher-cost dining occasions.
A broader view of monthly visit patterns provides additional context to these trends.
The graph below shows that between April and October 2025, QSR traffic was essentially flat or below the previous year’s levels, likely a reflection of consumer sentiment regarding inflation and a degraded value perception in fast food.
But during the same window, full-service restaurants mustered several YoY visit lifts, suggesting that higher-income consumers continued to support sit-down dining – even as more price-sensitive audiences reeled from inflation.
However, the landscape began to shift toward the end of 2025. QSR trends improved, reflecting refreshed value strategies and LTOs designed to re-engage cost-conscious diners.
At the same time, full-service performance weakened. After a sharp dip in December 2025, the segment saw only a partial recovery before declining again in March 2026 – likely influenced by one fewer Saturday compared to March 2025. But overall, this pattern suggests that sustained economic pressure may be prompting even higher-income consumers to moderate discretionary spending in recent months.
Fast casual, meanwhile, has maintained an upward growth trajectory throughout the last twelve months, reinforcing its role as a middle-ground that can succeed in dynamic economic conditions.
Examining visit patterns by day of week reveals another layer of evolving consumer dining behavior amid ongoing economic uncertainty.
Fast casual’s Q1 2026 strength was driven primarily by weekday traffic, which rose 4.7% YoY, alongside a more modest 1.3% increase on weekends. This imbalance suggests that fast casual’s momentum is tied to workweek routines – lunch breaks, quick dinners, and on-the-go meals – where demand for convenience and perceived quality intersect. In the current macroeconomic environment, these habitual visits appear more resilient than discretionary weekend outings.
QSR’s visits followed a more muted version of this pattern. Weekday visits rose 0.6%, while weekend traffic dipped slightly (-0.4%), indicating that mid-week promotions may be sustaining convenience-driven demand, but basic value may be less effective at driving weekend traffic.
Full service visits, meanwhile, declined across both weekparts, with a steeper drop on weekends (-1.9%) than weekdays (-0.6%). Weekends – when busy schedules free-up for socializing and celebrations – are a cornerstone for sit-down dining, and this gap may point to the increased vulnerability of the full-service segment as consumers reassess discretionary spend.
The data points to a dining environment increasingly defined by value – with nuance in how that value is delivered.
QSR’s steady performance underscores the importance of affordability, particularly for budget-conscious consumers, while fast casual’s growth suggests that value is increasingly defined by price, quality, and convenience that justify spend.
On the other hand, full-service restaurants, and their elevated experience, appear more exposed to value-conscious decision-making. If economic pressures persist, more discretionary, sit-down dining occasions may come under greater scrutiny from consumers.
For more dining 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.
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After a weather-disrupted start to the year, March delivered a clear signal that the office recovery is once again moving forward. The latest data points to a seasonal rebound alongside tightening workplace policies translating into sustained return-to-office (RTO) gains.
March 2026 marked the busiest March for office visits since the onset of COVID, with traffic just 26.5% below 2019 levels.
Part of this strength was calendar-driven, as the month included 22 working days compared to 21 in both 2019 and 2025. But even after adjusting for this difference, the underlying trend remained firmly positive. Average visits per working day were 29.8% below 2019 levels and 6.4% higher than March 2025, pointing to real and continuing momentum in the market.
On a regional basis, substantive year-over-year (YoY) gains were seen across every major market but Washington, D.C., where adjusting for working days revealed a 3.4% YoY visit gap – possibly influenced by a mid-month severe storm event that may have kept some workers home in a region relatively unaccustomed to such disruptions.
Miami and New York remained at the top of the recovery curve, with office visits exceeding 90% of pre-COVID baselines.
But the more interesting story is unfolding on the West Coast, where some of the nation’s biggest recovery laggards are making steady progress. Los Angeles recorded the strongest YoY growth of any analyzed market, supported in part by the comparison to early 2025, when the city was still reeling from January’s wildfires. San Francisco, where an AI-driven recovery remains in full swing, also continued to build momentum, with visits up 15.4% YoY. The city is steadily climbing the post-pandemic recovery rankings – after avoiding the bottom spot since September 2025, it edged up to third from last for the second month in a row.
As hybrid policies continue to tighten and companies like Stellantis join the growing list of employers requiring five-day-a-week attendance, workplace behavior is shifting slowly but surely toward more in-person work. And While office attendance is unlikely to return to pre-COVID norms, additional mandates set to take effect later this year at organizations ranging from Home Depot to the California state government point to continued gains in office utilization in the months ahead.
For more data-driven RTO analyses, 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.
While artificial intelligence was the undeniable protagonist of Shoptalk Spring 2026, the discussions illuminated a landscape far more nuanced than simple automation. Retailers are currently navigating a perfect storm of behavioral shifts, ranging from the physiological impact of GLP-1 medications to the cultural resurgence of the mall driven by Gen Alpha. In response, the industry is moving away from rigid demand planning toward a model defined by extreme operational agility, where the lines between digital agents and physical storefronts are increasingly blurred – an evolution reflected in the four key takeaways from this year’s event.
The most significant evolution in the digital space is the transition from traditional e-commerce to Agentic Commerce, or "A-Commerce" (hat tip Shoptalk’s Joe Laszlo). As AI agents begin to autonomously manage discovery, price comparison, and purchasing for consumers, the retail industry must pivot to serve these non-human decision-makers. This shift has the potential to disrupt the long-standing trend of retail concentration. By lowering the cost of customer acquisition and brand formation, AI is effectively leveling the playing field, allowing niche brands to challenge established giants and potentially reversing a decade of market consolidation.
Consumer behavior is currently evolving faster than at any point in recent history. The widespread adoption of GLP-1 medications has created a "lifestyle domino effect" that stretches far beyond the pharmacy. Data shows these medications are not only shifting primary grocery destinations but are also triggering a chain reaction in discretionary spending. A significant weight loss often prompts a total wardrobe refresh, which in turn leads to increased spending on housewares as consumers feel a renewed desire to host social gatherings and showcase their updated personal aesthetic.
Simultaneously, Gen Alpha is coming of age and bringing a surprising nostalgia for the physical "mall hangout" culture. Brands are responding by leaning heavily into "recommerce" and resale markets to build long-term community engagement. In this environment, lifetime value is no longer just about the initial transaction but about fostering a continuous cycle of brand interaction through niche marketplaces and circular economies.
The physical store is not dying; it is being re-engineered to function like a high-end service environment. The industry is moving toward a "hotel check-in" model where computer vision and loyalty integrations allow retailers to identify customers the moment they cross the threshold. This level of tracking is part of a new value exchange: consumers grant access to their data in return for hyper-personalized in-store media and a frictionless shopping experience. This evolution notably aims to eliminate "security friction," such as locked display cabinets, by replacing them with seamless, background-monitoring technologies.
Behind these front-end changes lies a total re-engineering of the supply chain. The traditional discipline of demand planning, which relies on historical data, is being replaced by "demand sensing." This model uses real-time AI to create highly reactive inventory flows that can pivot instantly based on current market signals. Furthermore, the economics of fulfillment have reached a tipping point; micro-fulfillment centers are now financially viable at a threshold of just 500 orders per day. This democratization of automation allows a broader range of retailers to offer localized, rapid delivery that was once the exclusive domain of the industry's largest players.
The retail playbook is being aggressively rewritten in 2026 as the industry moves past the era of mere experimentation and into one of total operational integration. The convergence of autonomous "A-Commerce" agents, the physiological lifestyle shifts triggered by GLP-1 medications, and the unexpected cultural resurgence of the physical mall among Gen Alpha has rendered legacy forecasting models obsolete. Success in this new landscape now depends on a retailer’s ability to bridge the gap between high-tech digital convenience and hyper-personalized, frictionless physical experiences. Ultimately, the winners of this cycle will be those who replace static planning with real-time demand sensing, ensuring they remain as agile as the rapidly evolving consumers they serve.
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.
Despite the ongoing economic uncertainty, year-over-year (YoY) foot traffic trends to brick and mortar retail chains has been generally positive all year, with only three out of the first fourteen weeks of the year posting visit declines.
During Easter week, visits rose 5.7% compared to the week of March 31 to April 4, 2025 – the second biggest YoY increase of the year so far, following Valentine's Day week. And while some of this lift likely reflects calendar shifts, as Easter fell later in April in 2025, it also underscores consumers’ continued willingness to shop – especially for special occasions – despite broader headwinds.
Indeed, AI-powered location intelligence also shows a 1.9% increase in traffic compared to Easter Week 2025, and a 7.4% lift compared to the year-to-date weekly retail traffic average – highlighting current consumer resilience.
Easter generated increases in retail foot traffic across most of the country, but the strongest lift was in the Southeast, as can be seen on the map below. The region’s outsized performance likely reflects a combination of factors, including stronger cultural emphasis on Easter-related gatherings and traditions, favorable spring weather that supports in-store shopping, and a higher reliance on brick-and-mortar retail formats.
Retail traffic data for Easter Week 2026 suggests that retail traffic in 2026 is being supported by stable underlying demand, with holidays like Easter acting as accelerators rather than compensating for weakness. At the same time, the Southeast’s outperformance reinforces the need for regionally tailored strategies, as the ability to convert seasonal demand into store visits varies significantly across markets.
For more data-driven retail 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.
Q1 2026 is in the books and there were some key elements that popped when we looked at the data.
While we’re all about location data, few things get us as excited as the glorious combination of behavioral location analytics with sentiment data. So, we ran a poll of retail industry professionals with our friends at ShopTalk, and the results were fascinating. But two answers really stood out.
First, only 30% of respondents felt that ‘inspiration’ was a key element of the store experience. This was shockingly low considering how powerful the ‘discover mode’ aspect of the shopper journey can be. It also speaks to the massive potential in better maximizing this component to drive product engagement, sales and retail media opportunities.
Second, while 44% of respondents expected Agentic AI to boost digital commerce and 22% expected to simply fragment digital’s current share, 34% felt it would be a tide that lifted all boats. This is hugely positive in that it indicates a growing recognition that the benefit of digitally native innovations is not limited to the digital environment.
In January, all mall formats in the Placer.ai Mall Index saw a boost. A nice start for malls, but maybe just a fluke?
The February data came in and showed that all mall formats once again saw a boost. This gives more evidence to the going hypothesis that top tier malls are in the midst of a significant and ongoing renaissance. While this clearly has huge ramifications for site selection and placemaking at these centers, it also speaks to an ongoing potential for a significant swath of lower tier malls to drive their own revolutions with a greater focus on driving complementary offerings and local audiences.
I’m hardly unbiased when it comes to Target, but since the week beginning January 26th through the week beginning March 23rd – the retailer has seen nothing but visit growth, with visits averaging a 7.8% year over year lift during that period.
Does this mean that every problem is solved? No. But it does show that while there were clearly challenges faced in recent years, there is a unique potential for Target because of their market positioning and brand. We called them out as one of the clear candidates for a major recovery in 2026 and they are showing early signs that validate that call.
In September of 2024 Costco raised the cost of membership. Did this deter potential members and limit visits? Nope.
Instead, Costco has seen continued growth and an expansion of its audience with new groups becoming a bigger part of its overall mix. The result is the latest sign that Costco’s growth could actually have many more levels to hit with just the expansion of its audience.
In a guest post for The Anchor dunnhumby’s Erich Kahner broke down the grocery segment and powerful positioning that two groups had. Savings-First grocers like Aldi or Lidl were well positioned to grab visits with a clear value offering that emphasized price, an especially powerful tool in a period of seemingly endless economic volatility. On the other hand, Quality-First grocers like Sprouts were leading with an emphasis, not on price, but on exceptional product quality. And while these two concepts may seem like obvious draws for consumers, the ability to so effectively center an offering around a core promise gives these brands a unique market position and the ability to effectively deliver on and prioritize this position.
But there is a third group – the unicorns. In this case, Kahner focused on brands like Trader Joe’s and H-E-B and their ability to leverage authenticity, ideal product mix and a powerful understanding of their audience to deliver an exceptional and targeted experience. And this is critical because it represents the latest example that the antidote to bifurcation – the push to exceptional quality and exceptional value across categories – is authenticity. The ability to create an experience and product offering that stands out and truly resonates for a core audience.
Yes, there are continued improvements in office visitation led largely by more dramatic year over year lifts in areas that took longer to recover like San Francisco. However, there is an overall sense that the current state of affairs in office is generally stable. And this is great for office real estate.
Hybrid work has absolutely changed behavior, but it didn’t stop professionals from coming to the office – or many businesses from demanding this return. But there are clear indications of what drives more office visits. Proximity, industry, and family status all present clear signals of how often an audience will visit the office during a specific period. The positive here is that it shows a clear rationale for why people don’t visit, and it is not because they don’t value the office.
The takeaway? Expect an office-centric version of hybrid work to continue setting the overall pace.
For more data-driven retail & CRE 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.
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Club Pilates’ journey since its acquisition by Xponential Fitness represents a rare and large-scale success in the boutique fitness space. Since 2019, the chain has increased its monthly visits by over 200%, largely by expanding aggressively and saturating existing markets.
But same-store data suggests that the brand, having built a dense and expansive studio footprint, may be hitting its first ceiling, and expansion alone may not be enough to sustain the momentum of the past couple of years. Instead, the chain will likely need to combine new location openings with unlocking the latent value within its existing network of 1,400+ studios – growing membership, driving more engagement, improving utilization, and deepening customer relationships.
To that end, Xponential is pursuing a multi-pronged strategy aimed at boosting unit-level economics, including improving member acquisition and investing in digital upgrades to enhance conversion and retention. The company is also testing pricing and packaging strategies alongside studio refreshes and new class formats to increase engagement and utilization with the goal of improving profitability across the existing studio base.
But even as Xponential Fitness works to improve performance at existing locations, expansion – which has been Club Pilates’ primary growth engine to date – will remain an important part of the strategy, with the company aiming to open locations in both "new and existing geographies."
AI-powered location analytics reveal that most Club Pilates visits come from local clients, a trend which has remained remarkably consistent throughout the chain's aggressive expansion. In 2025, around 70% of visits came from patrons travelling less than five miles to reach the studio and more than 85% originated within a 10-mile radius – underscoring the highly local nature of the business.
Because most customers come from nearby, opening additional studios allows the brand to reach new local audiences rather than relying on a single location to cover an entire market. When spaced appropriately, this can grow total demand with limited overlap, while marketing across the market helps reduce the cost of acquiring each new member. As a result, even if same-store visits begin to level off, the brand can continue to grow by expanding its footprint – capturing new pockets of local demand that existing studios do not fully serve.
As Club Pilates enters its next phase, growth will depend both on opening new studios and on optimizing its existing network – improving utilization, deepening engagement, and refining pricing. With strong local density and a loyal, routine-driven customer base, the brand is well positioned to increase member lifetime value through digital enhancements and more personalized experiences. If executed well, this shift from pure expansion to expansion and optimization could elevate Club Pilates from a fast-growing chain to a true fitness super-brand.
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.
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.
