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The athletic apparel and sporting goods landscape has faced various headwinds throughout 2025 – from shifting consumer spending patterns to challenging macroeconomic conditions. Against this backdrop, an AI-powered analysis of Dick’s Sporting Goods, Academy Sports + Outdoors, and lululemon highlights where each brand may find momentum in 2026.
DICK’s delivered a solid fiscal Q3, and the most recent year-over-year (YoY) foot traffic data indicates that stability carried into the following months. The company continues to work through the integration of Foot Locker – streamlining inventory and refining operations – while simultaneously expanding its House of Sport and Field House concepts. Investment in these experiential formats underscores a strategic commitment to immersive retail and broader merchandise diversification to drive long-term growth.
Academy Sports + Outdoors delivered positive top-line growth and profitability in fiscal Q3, despite a modest decline in comparable sales. And while management noted record Black Friday performance, cooling same-store traffic persisted from November 2025 through January 2026.
Yet focusing solely on offline traffic may overlook several of Academy’s omnichannel growth drivers. The brand emphasized the connection between digital customer acquisition and continued store expansion, since a growing store footprint expands BOPIS fulfillment capacity. In this context, softer visit trends may reflect channel mix shifts, positioning the company for long-term growth.
Lululemon’s fiscal Q3 results reflected a bifurcated performance, with U.S. revenue declining modestly while international growth surged. At the time, management emphasized product innovation and global expansion as strategic priorities in 2026, reinforcing the brand’s long-term growth roadmap; so while recent YoY foot traffic trends point to some domestic pressure, the strength of lululemon’s international markets serves as a stabilizing force that could reignite engagement stateside over time.
Lululemon, Academy Sports + Outdoors, and DICK’s performance shows that strategy and execution across channels matters. DICK’s investment in specialized formats, Academy’s omnichannel push, and lululemon’s international expansion, each address distinct growth levers in a challenging discretionary environment.
For more data-driven retail insights, visit placer.ai/anchor.
Over the past two years, Costco has made several moves that risked upsetting its famously loyal customer base – including raising membership fees in September 2024 and restricting food court access to members only. But visit data suggests that, rather than deterring shoppers, these changes have supported rising engagement and a broadening customer base.
The chart below shows that Costco entered 2026 with solid visit momentum. Both total and same-store visits posted healthy year-over-year gains through the back half of 2025 and into January.
That resilience aligns with recent earnings reports, which show Costco delivering consistent mid-single-digit comparable sales growth throughout 2025. By raising the “cost of commitment,” Costco may be discouraging casual or opportunistic users while deepening engagement among shoppers who do the math and shop more frequently to justify the fee.
Perhaps the clearest signal of Costco’s durable positioning lies in its evolving demographic profile. While the chain continues to over-index on affluent consumers, it is also attracting a growing cohort of younger shoppers, reflected in the chart below by a rising share of “Contemporary Households” – a young-skewing segment comprising singles, married couples without children, and non-family households. As this cohort has expanded, Costco’s overall income profile has also subtly broadened.
The persistence of this shift despite higher fees challenges the notion that price increases drive exclusivity. For many households, the fee remains a rational trade-off for reliable savings – and the broader reach gives Costco added leverage to negotiate pricing and defend margins.
Costco’s recent moves show that pricing power and scale don’t have to be trade-offs. By pairing higher fees with stricter enforcement, the company is strengthening loyalty, preserving value perception, and widening its appeal to younger households – all while keeping traffic strong. That combination leaves Costco unusually well positioned as cost pressures persist: a retailer with both the volume to command supplier leverage and a member base committed enough to sustain it.
For more data-driven retail 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.
When grocery analysts think about low prices and private label, Trader Joe’s, Aldi, and Lidl often come to mind. And while all three operate in the value-driven grocery space, they differ meaningfully in how they run their stores, position their brands, and engage consumers. An AI-based analysis of shopping behavior and audience characteristics for each chain reveals how distinct brand strategies are influencing visit patterns and could continue to shape performance heading into 2026.
One of the defining themes of the 2025 retail narrative was the consumer’s continued focus on value, and the grocery sector was no exception. Trader Joe’s, Aldi, and Lidl – all known for extensive private label assortments and competitive pricing – each experienced positive year-over-year visit growth in all four quarters of 2025. And with the exception of Lidl in Q3, they consistently outperformed the broader grocery category, underscoring the enduring pull of value in a cost-conscious environment.
While some of that growth can be attributed to Aldi, Lidl, and Trader Joe’s expanding store footprints, increases in average visits per location suggest that demand rose alongside store count. If value remains a primary motivator in 2026, these low-price grocers appear well positioned to continue capturing incremental foot traffic.
Despite shared characteristics – private label dominance and ongoing expansion – Trader Joe’s, Aldi, and Lidl take very different approaches to the in-store experience. An analysis of visit length highlights how each brand’s balance of convenience and assortment influences how shoppers interact with its stores.
Across the grocery category, 22.1% of visits in 2025 lasted under 10 minutes – a higher share than at Trader Joe’s, Aldi, or Lidl. This likely reflects the widespread availability of curbside pickup and quick in-and-out trips at traditional grocers, which isn't offered at Trader Joe’s and Lidl and is only available in a limited capacity at Aldi. 18.2% of the grocery category’s visits also lasted between 10 and 15 minutes, reflecting many just slightly longer top-up visits consistent with the high-density presence of traditional grocers in many markets.
Trader Joe’s stands out for its concentration of mid-length visits. The chain posted the highest share of visits lasting 10 to 15 minutes and 15 to 30 minutes, suggesting a highly efficient shopping experience.
This pattern aligns with Trader Joe’s small-format stores and tightly curated assortment, where seasonal items and cult-favorite products anchor clear shopping missions. Shoppers appear to arrive with a plan and move quickly through the store – reinforcing Trader Joe’s strength as a fast, focused destination.
Aldi sees a higher share of visits in the 15 to 30 minute and 30 to 45 minute ranges than the grocery category overall, edging out Lidl slightly in both buckets. This suggests that Aldi’s limited-SKU and small-format model simplifies navigation and decision-making. Meanwhile, no-frills merchandising – with products often displayed in cartons or on pallets – supports its value perception, so shoppers still spend meaningful time winding the aisles to save money.
Lidl shows the strongest skew toward longer visits, including the highest share of visits lasting over 45 minutes (11.7%), exceeding Aldi, Trader Joe’s, and the grocery category overall.
This reflects Lidl’s positioning somewhere between a traditional grocery store and a superstore. Its in-store bakery, broader meat and dairy selections, housewares, and wider assortment require more time to navigate, and its stores are typically larger than Aldi’s while remaining smaller than conventional grocers. Together, these factors encourage more comprehensive stock-up trips.
Lidl’s relatively smaller store footprint network may also play a role, pushing shoppers to consolidate trips rather than supplementing with quick, nearby visits – a behavior more common in the broader grocery category.
Small, efficient store formats are a shared advantage for Trader Joe’s, Aldi, and Lidl, but the data suggests that footprint alone doesn’t define the shopping experience. Rather, each chain’s strategic differences meaningfully shape how consumers move through their stores.
At the same time, there is strong evidence that pickup remains a powerful draw for grocery shoppers – more than one in five grocery visits last under 10 minutes. If Trader Joe’s, Aldi, and Lidl want to capture more of those short trips, expanding convenient pickup options could be an opportunity worth exploring.
Trader Joe’s, Aldi, and Lidl may share a reputation for value, but they are not competing on the same terms. Each chain’s philosophy shapes how shoppers engage with its stores – Trader Joe’s through curated discovery, Aldi through uncompromising efficiency and low prices, and Lidl through a full grocery experience at a discount. As value remains a powerful driver of grocery traffic, continued success will depend on each brand doubling down on the elements of its model that set it apart and resonate most clearly with its core shopper.
Will 2026 be another stand-out year for these grocers? Visit Placer.ai/anchor to find out.
Commercial real estate’s reputation as a technology laggard is not entirely undeserved. At its core, CRE is a see-touch-and-feel industry, as much art as science. Local knowledge, intuition, and long-standing relationships continue to shape how deals get done, and that reality isn’t likely to change. Boots on the ground matter, as firsthand market insight and trust between brokers, landlords, and tenants, remain central to the business.
That context is essential when thinking about technology’s role in CRE. Tech can support and enhance decision-making, but it cannot replace the fundamentals. AI, for example, can make processes faster and more efficient, but it will not change the core of how CRE works. It will never be the tool that says, “I know a landlord who’s about to bring this space to market, and I’m getting the first look because of our relationship.”
That said, technology does have an important role to play. During COVID, when activity slowed dramatically, many organizations finally had the time to look inward and ask how technology could support faster, more resilient decision-making once the market returned. As the industry continues to invest in digital tools, three principles stand out.
Technology delivers the most value when it is guided by well-defined questions. One of the most persistent challenges in CRE’s use of technology is data fragmentation and fatigue. The industry generates enormous amounts of data, much of it spread across spreadsheets, emails, platforms, and institutional knowledge. And without knowing what you want to accomplish, that volume can quickly become overwhelming.
As shown in the chart above, for example, even when a national trend appears relatively modest, the underlying regional variation can be significant. Without a clear question guiding the analysis, it’s easy to walk away with a generic conclusion that misses where performance is actually diverging. Framed correctly, the same data becomes a tool for understanding where demand is strengthening, where it’s softening, and how strategy should differ by market.
Once the right questions are defined, the next challenge is selecting the right tools. Here again, clarity matters. There is no universal technology stack for commercial real estate. Organizations operate across different markets, asset types, and strategies, and technology needs to reflect those differences.
Thinking in terms of a recipe provides a more useful framework. The questions define the goal, and technology becomes a set of ingredients chosen to achieve it. Some tools add context, others improve precision, and others help scale insights across teams by surfacing distinct metrics and perspectives. The objective is not to find a single solution or data point that does everything, but to assemble the right combination that supports how the organization actually works.
The graph below highlights the value of layering multiple signals to understand performance. Topline visit trends offer a baseline, but adding context around visitor profile and travel patterns helps clarify what’s actually driving change. When analyzed together, these signals move analysis beyond surface-level conclusions and toward insight that can inform real decisions.
The technology best positioned to help CRE is shaped by how people actually use it. Companies that consistently learn from their users, refine inputs, expand data sets thoughtfully, and stay focused on real decision-making are far more likely to deliver lasting value.
The true test of any technology is whether it helps professionals make better decisions faster and with greater confidence while reducing risk. When insights surface quickly and are paired with on-the-ground experience and market context, data reinforces what CRE professionals already see and understand. Used this way, technology becomes a decision-support tool that facilitates de-risking and enables organizations to act at the right speed without losing sight of the fundamentals.
When analyzing mall properties, for instance, sustained weekday and weekend visit growth, paired with a broadening and increasingly family-oriented audience, can signal traffic that is more likely to endure. Identifying these deeper patterns in visit behavior helps validate assumptions, align strategy, and move forward with greater confidence, especially when paired with local market context.
As technology adoption continues, CRE leaders face an additional challenge: distinguishing between tools that meaningfully support these principles and those that generate attention without lasting value. Some technologies – like foot traffic and demographics – will become table stakes, while others will struggle to move beyond experimentation.
One area to watch is Virtual AI, including remote site visits and digital building tours. These tools may streamline early-stage evaluation and expand access, even as final decisions continue to rely on boots on the ground. Ultimately, their impact will depend on whether they reinforce the fundamentals of CRE – clear questions, practical workflows, and faster paths to confident decisions.
Since taking the reins in 2023, Gap Inc. CEO Richard Dickson has pursued a turnaround strategy aimed at reinvigorating the legacy apparel retailer, with promising results so far. Did that positive momentum carry through the end of the year? And what can location analytics reveal about the role of each of Gap Inc.’s largest banners in powering the company’s recovery?
Recent foot traffic data points to solid traffic momentum at Gap Inc. With the exception of a brief dip in December – likely driven by holiday demand pulling forward into November, along with one fewer Sunday compared to 2024 – year-over-year (YoY) company-level visits remained consistently positive over the past six months.
Throughout the period, same-store visits slightly outpaced total traffic, reflecting a more optimized fleet following the closure of several underperforming stores over the past year. Gap Inc’s robust traffic patterns also align with recent earnings commentary showing positive company-level in-store comparable sales in Q3 2025 and improving execution across Gap’s leading brands, as the company continues its strategic reset.
Looking at the company’s two largest brands shows that each is contributing to the company’s rebound in a different way. In Q4 2025, Gap slightly outperformed Old Navy on a quarterly basis, with banner-level traffic up 1.6% YoY, compared with 1.2% at Old Navy. However, Old Navy delivered more consistent monthly gains throughout the analyzed period – including in September, when Gap experienced a modest decline.
Gap’s traffic trends were notably more variable, with a stronger YoY lift in November, likely reflecting the brand’s greater sensitivity to seasonal storytelling and early holiday demand. This responsiveness was especially apparent on Black Friday, when Gap visits surged 504.4% above its 2025 daily average, compared with a still-robust but more measured 436.4% increase at Old Navy.
Old Navy’s smoother monthly performance likely reflects its role as the portfolio’s stability engine, with value-driven and replenishment trips supporting steady traffic throughout the year. Gap, on the other hand, appears to fulfill a more discretionary function, with visits responding more sharply to merchandising, marketing, and holiday timing.
Visitor behavior data for Gap and Old Navy further reinforces the two brands’ distinct positionings. Old Navy attracts longer, more frequent visits that skew toward weekdays, signaling habitual shopping tied to browsing, value-seeking, and building everyday wardrobe essentials. Gap, meanwhile, sees shorter, less frequent visits that are more likely to occur on weekends – consistent with more discretionary trips tied to seasonal needs, inspiration, or occasional splurges.
These differences between the two banners may help shape how Gap Inc. approaches its next phase of growth. In January 2026, the company leaned into “fashiontainment” with the appointment of former Paramount executive Pam Kaufman as Chief Entertainment Officer. At the same time, it has begun expanding into beauty and accessories, including the launch of Beauty Co. at 150 Old Navy locations nationwide.
As these strategies roll out, allowing them to express themselves differently across Gap and Old Navy could help maximize the strengths of each banner. At Gap, fashiontainment may lend itself to high-impact cultural moments and narrative-driven campaigns that tap into the brand’s strengths in nostalgia and storytelling – such as last year’s Better in Denim campaign featuring Katseye. At Old Navy, the same idea may be most effective through large-scale, family-friendly partnerships that reinforce its role as a dependable, mass-market destination – like the Disney collaboration launched last May. A similar dynamic could emerge in beauty, with Old Navy’s Beauty Co. supporting frequent, routine visits, and beauty at Gap reinforcing fashion authority and cultural relevance rather than driving habit.
For more insights into the consumer patterns shaping retail strategy, 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.
The home improvement space has faced sustained pressure from macroeconomic headwinds – including persistent inflation and a cooling housing market – prompting many consumers to delay major projects and defer big-ticket purchases. But is a category turnaround in the works? An AI-powered foot traffic analysis of the sector’s largest players – The Home Depot and Lowe’s – offers insight into whether momentum has shifted and a period of growth is on the horizon.
Both The Home Depot and Lowe's reported sales growth alongside an uptick in big-ticket purchases in fiscal Q3 2025, indicating that consumers were investing in significant upgrades despite many bigger renovations remaining on the back-burner. And the latest foot traffic data suggests that this momentum likely carried forward into the subsequent months.
In November 2025, both chains saw visit and same-store visit growth of roughly 3% year-over-year (YoY) – a sign of meaningful Black Friday traffic and a healthy start to the holiday shopping season.
And while December 2025 saw modest visit gaps, these likely stemmed in part from tough YoY comparisons to December 2024’s storm-related demand.
Traffic to both chains rebounded in the new year, with preparations ahead of Storm Fern likely accounting for some of January 2026’s YoY visit gains.
Overall, the past several months of foot traffic data paint a picture of continued positive momentum for The Home Depot and Lowe’s through fiscal Q4.
Large-scale projects may not yet be at hoped-for levels, but the data suggests consumers are still investing in their homes. And with mortgage rates trending lower, housing activity showing early signs of a turnaround, and the potential for abundant home equity to fund renovations, the home improvement sector appears poised for continued growth.
Will the home improvement space build on its successes in 2026? Visit 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.
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.
