.svg)
We dove into the visit data to see how Starbucks, Dunkin,’ and Dutch Bros are faring in Q1 2025.
Affordable luxuries like coffee tend to do well in times of rising prices and heightened budget-consciousness. So it should come as no surprise that visits to coffee chains have been on the rise recently, with overall traffic to the category up 1.8% year-over-year (YoY) in Q1 2025. Much of the increase can be attributed to the aggressive expansions of small and medium coffee chains such as Dutch Bros (13.4% YoY increase in visits in Q1 2025), Scooter’s Coffee (+15.3% YoY) and 7 Brew Coffee (+87.3%).
Meanwhile, visits to coffee leaders Starbucks and Dunkin’ remained relatively stable – falling by just 0.9% and 1.6%, respectively, in line with the wider QSR Q1 2025 YoY visit gap of 1.6%. Contrasting the growth of smaller coffee chains with Starbucks and Dunkin’s minor traffic dips may suggest that consumers prefer to spend their limited discretionary funds on unique or decadent treats instead of on classic drinks and pastries.
But despite the rapid growth of smaller coffee chains, Starbucks continues to dominate the coffee category, receiving over half of combined visits to Starbucks, Dunkin’, Dutch Bros, Scooter’s Coffee, and 7 Brew Coffee. At the same time, though, Starbucks’ stronghold on the category may be loosening slightly – the Seattle-based coffee giant’s relative visit share fell from 55.8% in Q1 2024 to 51.2% in Q1 2025 as smaller chains continued growing and expanding.
The cross-visitation data also highlights Starbucks’ dominance. In Q1 2025, the majority of visitors to most other coffee chains (51.3% of Dunkin’ visitors, 65.7% of Dutch Bros, and 58.4% of 7 Brew visitors) also visited a Starbucks in the same period. Meanwhile, only 27.4% of Starbucks consumers went to Dunkin’ and 16.4% went to Dutch Bros during the analyzed period, with even smaller shares going to Scooter’s and 7 Brew. So while the smaller chains are clearly making inroads into the coffee market, Starbucks still commands a strong central position, attracting a majority of coffee-goers and enjoying significant loyalty.
Despite the ongoing expansion of Dutch Bros and the rise of smaller coffee chains, Starbucks continues to dominate the U.S. coffee category.
For more data-driven dining insights, visit placer.ai/anchor.
Fueled by customer demand for quality, convenience, and value, CAVA and sweetgreen are cementing their place as leaders in the fast-casual space. The two chains have seen impressive growth over the past few years, adding new locations to keep up with growing demand.
We took a look at their performance over the years to see what might be driving their continued rise.
While the fast-casual dining sector as a whole experienced a slight slowdown in Q1 2025, likely driven by continued budgetary concerns among diners, CAVA and sweetgreen are thriving. The two chains are squarely in expansion mode – and their impressively elevated foot traffic numbers strongly suggest that customers are highly receptive to both chains’ offerings.
In Q1 2025, visits to CAVA were 19.8% higher than in Q1 2024, while Sweetgreen saw its visits increase by 11.1%. In contrast, the wider fast-casual space experienced a visit slowdown of 0.1% during the same period, serving as a reminder of the challenges facing the segment.
Diving into audience segmentation data for both chains provides greater insight into the expansion strategies underlying their strong performance in recent years.
CAVA, which grew from a single location in Maryland to 367 restaurants at the end of 2024, has employed a suburban-focused growth strategy that has brought the chain to a wider audience than ever. The median household income of CAVA’s trade areas has been steadily dropping over the years. And a closer look at shifts in the psychographic segments that make up its visitor base suggests that the chain is reaching new suburban audiences.
Between Q1 2022 and Q1 2025, CAVA steadily broadened its reach among the working and middle-class “Blue Collar Suburbs” and “Suburban Boomers” consumer segments. During the same period, it also gained more traction with the affluent “Upper Suburban Diverse Families” segment – while holding on to its substantial share of “Wealthy Suburban Families.” This suggests that, even as CAVA expands its reach among a wider range of suburban visitors, it has maintained its core audience. While a substantial portion of wealthy customers remains, the chain has effectively opened itself up to a larger and more diverse pool of visitors.
Similarly, sweetgreen has also been increasing its presence in suburban markets. The chain, which leans heavily into automation to improve visitor experience, has made suburban expansion a cornerstone of its strategy – and examining the geographic data clearly demonstrates this shift.
In Q1 2022, 31.3% of sweetgreen’s trade areas were made up of consumer segment groups belonging to the “Suburban Periphery” – defined by the Esri: Tapestry Segmentation dataset as commuter-oriented suburbs with access to major cities and their amenities. But by Q1 2025, this share rose sharply, to 42.2%. Over the same period, the share of “Principal Urban Centers” in sweetgreen’s trade areas dropped from 50.0% to 26.8%.
CAVA and sweetgreen are thriving, seemingly driven by their pushes into suburban markets.
Will the two chains continue to experience visit growth as Q2 gets underway?
Visit Placer.ai to find out.
Despite its recent release, Sinners has already generated significant buzz with overwhelmingly positive early reviews and a box office performance likely to break records as the best performing R-rated April release ever. The movie has also helped movie theaters maintain their strong momentum created by the success of A Minecraft Movie.
When Captain America: Brave New World was released on February 14th 2025, the movie drove a 37.0% increase in movie theater visits relative to the YTD (January 6th to April 20th 2025) weekly average. But visits quickly fell following the release week, and movie theater traffic was down 31.1% compared to the YTD average two weeks later.
Meanwhile, A Minecraft Movie led to a 88.6% spike in visits relative to the YTD average on the week of its release, likely thanks to the significant advertising and promotional activities in anticipation of the opening. But traffic was already beginning to fall when Sinners opened on April 18th – and the supernatural thriller helped slow the visit drop: Visits were 13.1% lower over the week of April 7th – April 13th compared to the week of March 31st to April 6th, but only dropped 7.2% week-over-week during the week of the Sinners release, when movie theater traffic stayed 52.1% above YTD weekly visit levels.
Quick-Service Restaurant (QSR) brands operate in a fast-paced industry of shifting consumer preferences, and palate-pleasing promotions are one of the ways QSRs drive traffic in the face of evolving demand for value and innovation. Using the latest location intelligence, we analyzed RBI, Yum! Brands, and other top QSRs, to explore their Q1 2025 performance and several promotions that had a significant foot traffic impact.
QSRs faced challenges in the early months of 2025, leading to a Q1 YoY foot traffic decline of 1.6% for the category as a whole. Analyzing the companies' domestic portfolios reveals that traffic to Yum! Restaurants increased 2.9% YoY, bolstered by Taco Bell’s strong performance, while RBI’s traffic fell 3.4% YoY. Wingstop experienced the greatest foot traffic growth of the QSRs analyzed (+4.3%) while Wendy’s saw the sharpest traffic declines (-4.6%).
Zooming in on weekly visits (since March 2025) highlights the foot traffic impact of several QSR promotions – which often cause fanfare during their initial launch.
KFC’s new bucket meal seems to have provided a YoY visit lift for the Yum! chain during the week of March 17th, while visits to Popeyes, an RBI chain, have remained elevated since the week of March 31st, likely due to the launch of the restaurant’s April Fools no-joke pickle menu. But it was Wingstop that stole the visit-spike show with a 22.9% YoY boost during the week of March 24th, 2025 – as eager customers flocked to the chain to redeem T-Mobile’s one-day-only $0.01 chicken tender reward.
And zooming in on daily visit fluctuations to Wingstop during Q1 2025 shows that the T-Mobile tender deal didn’t provide the only one-day visit boost. On Super Bowl Sunday (February 9th, 2025), Wingstop’s traffic was 56.8% above the daily average for Q1 2025, as wings were once again a party favorite.
Taco Bell’s Q1 2025 YoY foot traffic growth stood out among the analyzed QSRs, and diving into visitor frequency data shows that the chain has been attracting an increasing number of repeat visitors.
Between October 2024 and March 2025, the number of frequent visitors to Taco Bell – those who visited at least twice during the month – rose consistently YoY, even as the number of casual visitors decreased or rose only slightly. But in January 2025, Taco Bell saw a significant 11.7% YoY surge in frequent visitors – many of whom may have been attracted to the chain’s revamp of the Luxe Cravings Box to kick off the year.
Despite overall challenges in the QSR segment, strategic promotions contributed to significant foot traffic gains for several brands. Wingstop and Taco Bell were two of the biggest visit winners in Q1, highlighting the impact of both one-day deals and extended offers.
For more data-driven dining insights, visit Placer.ai.
Health and wellness remain significant drivers for grocery shoppers, and today we’re looking at two health-centric grocers – Sprouts Farmers Market and Natural Grocers. The two chains, which recently topped the “Best Natural Food Stores” list, are thriving, and both are planning further expansions in 2025.
We dug into the visit and demographic data to get a sense for how the chains are performing and what might be driving their success.
Sprouts Farmers Market has been a grocery store to watch in recent years. The Arizona-based chain added some 33 new locations over the past year, leading to a major surge in overall visits to the chain. In Q1 2025, visits to the grocer were 11.9% higher than they were in Q1 2024, with the average number of visits to each Sprouts location also increasing 4.2% YoY. In contrast, visits to the wider grocery space rose just 0.8% YoY.
Colorado-based Natural Grocers has also been thriving, with Q1 2025 visits up 5.9% YoY. And though Natural Grocers’ expansion has been slower than Sprouts', it too is gradually growing its store count – and its consistent over-performance shows that its offerings are meeting robust demand.
Diving into audience segmentation data offers insight into some of the factors contributing to the two chains’ success.
Both Sprouts and Natural Grocers attract relatively affluent visitor bases: In Q1 2025, visitors to Sprouts came from areas with a median household income (HHI) of $96.8K, considerably above the category average of $81.8K. Natural Grocers, meanwhile, drew visitors with a median HHI of $84.0K – lower than that of Sprouts, but still higher than the wider segment.
And each of the chains drew higher-than-average shares of both young professionals and a variety of affluent family segments – though Sprouts was more popular among wealthy families, while Natural Grocers attracted more upper-middle-class suburban families.
In a grocery market defined by trading down and intensified competition from low-cost outlets such as dollar stores and superstores, specialty chains like Sprouts and Natural Grocers may benefit from their ability to attract health-focused, higher-income shoppers and busy professionals.
Beyond demographics, each chain occupies a distinct geographic niche. In Q1 2025, 49.3% of visitors to Sprouts came from the “Suburban Periphery” – defined by the Esri: Tapestry Segmentation dataset as commuter-oriented suburbs with access to major cities and their amenities. Natural Grocers, meanwhile, drew just 39.9% from these areas, just slightly above the sector-wide average.
Meanwhile, Natural Grocers drew a much larger share of shoppers from “Metro Cities” – defined as smaller metropolitan or satellite city areas – than either Sprouts or the wider grocery space.
This variance suggests that the two health-centric grocers play complementary roles within the food shopping space, allowing both to maximize relevance among their respective customer bases.
Both Sprouts and Natural Grocers are experiencing visit growth and success – in part by catering to busy professionals and different groups of affluent consumers. As the two chains continue to expand, will they be able to sustain their appeal to distinct customer segments?
Visit Placer.ai for the latest data-driven grocery and retail insights.
Following a second bankruptcy filing, JOANN recently announced a complete shutdown of its fleet. Using location analytics, we uncovered the foot traffic trends behind JOANN’s unraveling and pinpointed retailers that stand to gain from its exit from the arts and crafts space.
JOANN found success during the pandemic, as many consumers stuck at home took on new crafting hobbies. During the second half of 2020, visits to JOANN were consistently above the January 2019 baseline.
But in recent years, the retailer has struggled to sustain its momentum. Since February 2021, visits have remained below pre-pandemic levels – with even the chain’s annual holiday season visit boosts remaining below those seen in Q4 2019. Overall in 2024, visits to JOANN were down 4.4% compared to 2019.
And since announcing that it would be conducting liquidation sales in late February 2025, visits to JOANN have soared as consumers take advantage of final deals on crafting supplies.
Several factors have contributed to JOANN’s decline, including competition from e-commerce and superstores. Analysis of cross-visitation trends for visitors to JOANN reveals that between 2019 and 2024, the share of the retailer’s visitors that also visited Walmart increased from 90.2% to 92.4%, while the share of visitors to Target rose from 80.8% to 83.2%. This indicates that JOANN has faced growing pressure from big-box chains encroaching on JOANN’s market share in the crafting space.
The largest players in the arts and crafts space – Hobby Lobby and Michaels – also appear to have grown their market share at the expense of JOANN, and stand to gain even more from the retailer’s departure.
Both Hobby Lobby and Michaels have emerged as increasingly popular destinations for JOANN shoppers over the past several years: In 2024 49.9% of JOANN visitors frequented a Michaels, while 49.1% visited a Hobby Lobby – up from less than 45% for both chains in 2019.
And analysis of the median household incomes (HHIs) of the three specialty retailers’ 2024 captured trade areas reveals that JOANN attracted more affluent visitors than Hobby Lobby but lower-HHI visitors than Michaels. This suggests that in the absence of JOANN, the chain’s wealthier shoppers may gravitate towards Michaels while its lower-income shoppers may more naturally turn to Hobby Lobby.
Location analytics illuminate the challenges JOANN faced in a competitive market. The increasing overlap in visitation with major retailers like Walmart and Target underscores the intense pressure from superstores. Simultaneously, the growing shared customer base with specialty competitors Michaels and Hobby Lobby suggests a migration of JOANN's audiences.
For more insights anchored in location analytics, visit Placer.ai/anchor.
1. Expanded grocery supply is increasing overall category engagement. New locations and deeper food assortments across formats are bringing shoppers into the category more often, rather than fragmenting demand.
2. Grocery visit growth is being driven by low- and middle-income households. Elevated food costs are leading to more frequent, budget-conscious trips, reinforcing grocery’s role as a non-discretionary category.
3. Short, frequent trips are a major driver of brick-and-mortar traffic growth. Fill-in shopping, deal-seeking, and omnichannel behaviors are pushing visit frequency higher, even as trip duration declines.
4. Scale is accelerating consolidation among large grocery chains. Larger retailers are using their size to invest in value, assortment, private label, and execution, allowing them to capture longer and more engaged shopping trips.
5. Both large and small grocers have viable paths to growth. Large chains are winning by competing for the full grocery list, while smaller banners can grow by specializing, owning specific missions, or offering compelling value that earns them a place in shoppers’ routines.
While much of the retail conversation going into 2026 focused on discretionary spending pressure, digital substitution, and higher-income consumers as the primary drivers of growth, grocery foot traffic tells a different story.
Rather than being diluted by new formats or eroded by e-commerce, brick-and-mortar grocery engagement is expanding. Visits are rising even as grocery supply spreads across wholesale clubs, discount and dollar stores, and mass merchants. At the same time, growth is being powered not by affluent trade areas, but by low- and middle-income households navigating higher food costs through more frequent, targeted trips. Shoppers are showing up more often and increasingly splitting their trips across retailers based on value, availability, and mission – pushing grocers to compete for portions of the grocery list instead of the full weekly basket.
The data also suggests that the largest grocery chains are capturing a disproportionate share of rising grocery demand – but the multi-trip nature of grocery shopping in 2026 means that smaller banners can still drive traffic growth. By strengthening their value proposition, specializing in specific products, or owning specific shopping missions, these smaller chains can complement, rather than compete with, larger one-stop destinations.
Ultimately, AI-based location analytics point to a clear set of grocery growth drivers in 2026: expanded supply that increases overall engagement, more frequent and mission-driven trips, and continued traffic concentration among large chains alongside new opportunities for smaller banners.
One driver of grocery growth in recent years is simply the expansion of grocery supply across multiple retail formats. Wholesale clubs are constantly opening new locations and discount and dollar stores are investing more heavily in their food selection, giving consumers a wider choice of where to shop for groceries. And rather than fragmenting demand, this broader availability appears to have increased overall grocery engagement – benefiting both dedicated grocery stores and grocery-adjacent channels.
Grocery stores continue to capture nearly half of all visits across grocery stores, wholesale clubs, discount and dollar stores, and mass merchants. That share has remained remarkably stable thanks to consistent year-over-year traffic growth – so even as grocery supply increases across categories, dedicated grocery stores remain the primary destination for food shopping.
Meanwhile, mass merchants have seen a decline in relative visit share as expanding grocery assortments at discount and dollar stores and the growing store fleets of wholesale clubs give consumers more alternatives for one-stop shopping.
While much of the broader retail conversation heading into 2026 centers on higher-income consumers carrying growth, the trend looks different in the grocery space. Recent visit trends show that grocery growth has increasingly shifted toward lower- and middle-income trade areas, underscoring the distinct dynamics of non-discretionary retail.
For lower- and middle-income shoppers, elevated food costs appear to be translating into more frequent grocery trips as consumers manage budgets through smaller baskets, deal-seeking, and shopping across retailers. In contrast, higher-income households – often cited as a key growth engine for discretionary retail – are contributing less to grocery visit growth, likely reflecting more stable shopping patterns or a greater ability to consolidate trips or shift spend online.
This means that, in 2026, grocery growth is not being propped up by high-income consumers. Instead, it is being fueled by necessity-driven shopping behavior in lower- and middle-income communities – reinforcing grocery’s role as an essential category and suggesting that similar dynamics may be at play across other non-discretionary retail segments.
Another factor driving grocery growth is the rise in short grocery visits in recent years. Between 2022 and 2025, the biggest year-over-year visit gains in the grocery space went to visits under 30 minutes, with sub-15 minute visits seeing particularly big boosts. As of 2025, visits under 15 minutes made up over 40% of grocery visits nationwide – up from 37.9% of visits in 2022.
This shift toward shorter visits – especially those under 15 minutes – is driven in part by the continued expansion of omnichannel grocery shopping, as many consumers complete larger stock-up orders online and rely on in-store trips for order collection or quick, fill-in needs. At the same time, the rise in short visits paired with consistent YoY growth in grocery traffic points to additional, behavior-driven forces at play – consumers' growing willingness to shop around at different grocery stores in search of the best deal or just-right product.
Value-conscious shoppers – particularly consumers from low- and middle-income households, which have driven much of recent grocery growth – seem to be increasingly shopping across multiple retailers to secure the best prices. This behavior often involves making targeted trips to different stores in search of the strongest deals, a pattern that is contributing to the rise in shorter, more frequent grocery visits. At the same time, other grocery shoppers are making quick trips to pick up a single ingredient or specialty item – perhaps reflecting the increasingly sophisticated home cooks and social media-driven ingredient crazes. In both these cases, speed is secondary to getting the best value or the right product.
So while some shorter visits reflect a growing emphasis on efficiency – as shoppers use in-store trips to complement primarily online grocery shopping – others appear driven by a preference for value or product selection over speed. Despite their differences, all of these behaviors have one thing in common – they're all contributing to continued growth in brick-and-mortar grocery visits. Grocers who invest in providing efficient in-store experiences are particularly well-positioned to benefit from these trends.
As early as 2022, the top 15 most-visited grocery chains already accounted for roughly half of all grocery visits nationwide. And by outpacing the industry average in terms of visit growth, these chains have continued to capture a growing share of grocery foot traffic.
This widening gap suggests that scale is increasingly enabling grocers to reinvest in the factors that attract and retain shoppers. Larger chains are better positioned to invest in broader and more differentiated product selection, stronger private-label programs that deliver quality at accessible price points, competitive pricing, and operational excellence across stores and omnichannel touchpoints. These capabilities allow top chains to serve a wide range of shopping missions – from quick, convenience-driven trips to more intentional visits in search of the right product or ingredient.
Consolidation at the top of the grocery category is reinforcing a virtuous cycle: scale enables better value, selection, and experience, which in turn draws more shoppers into stores and supports continued grocery traffic growth.
In 2025, the top 15 most-visited grocery chains accounted for a disproportionate share of visits lasting 15 minutes or more, while smaller grocers captured a larger share of the shortest trips. As shown above, larger grocery chains, which tend to attract longer visits, grew faster than the industry overall – but short visits, which skew more heavily toward smaller chains, accounted for a greater share of total traffic growth. Together, these patterns show that both long, destination trips and short, targeted visits are driving grocery traffic growth and creating viable paths forward for retailers of all sizes.
Larger chains are more likely to serve as destinations for fuller shopping missions, competing for the entire grocery list – or a significant share of it. But smaller banners can grow too by competing for more short visits. By specializing in a specific product category, owning a clearly defined shopping mission, or delivering a compelling value proposition, smaller grocers can earn a place in shoppers’ routines and become a deliberate stop within a broader grocery journey.
As grocery moves deeper into 2026, growth is being driven by the cumulative effect of how consumers are navigating food shopping today. Expanded supply has increased overall engagement, higher food costs are driving more frequent and targeted trips, and shoppers are increasingly willing to split their grocery list across retailers based on value, availability, and mission.
Looking ahead, this suggests that grocery growth will remain resilient, but unevenly distributed. Retailers that clearly understand which trips they are best positioned to win – and invest accordingly – will be best placed to capture that growth. Large chains are likely to continue benefiting from scale, consolidation, and their ability to serve full shopping missions, while smaller banners can grow by earning a defined role within shoppers’ broader grocery journeys. In 2026, success in grocery will be less about winning every trip and more about consistently winning the right ones.
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.
