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The Placer.ai Nationwide Office Building Index: The office building index analyzes foot traffic data from some 1,000 office buildings across the country. It only includes commercial office buildings, and commercial office buildings with retail offerings on the first floor (like an office building that might include a national coffee chain on the ground floor). It does NOT include government buildings or mixed-use buildings that are both residential and commercial.
RTO mandates seem to be everywhere. Following the federal government’s example, local governments from the City of Atlanta to the State of Texas have introduced stricter in-office requirements. And an increasing number of corporations are demanding full-time in-person work – including firms like JPMorgan, which began enforcing a five-day RTO mandate in early March.
But what does ground-level data tell us about how these new policies are affecting office attendance in practice? Did the RTO slowdown observed in January and February continue into March? Or is a new resurgence underway?
The latest data from the Placer.ai Office Index suggests that nationwide office visits may be trending upwards once again. Although March 2025 office visit levels didn’t match the peaks of October and July 2024, visits last month were only 32.2% below March 2019 levels – an improvement over March 2024.
Significantly, among months with 21 or fewer working days, March 2025 ranked as the second-busiest in-office month since the pandemic, just slightly behind October 2023 (October and July 2024 both had 22 days). So while January and February’s declining numbers hinted at a stalled market, March’s uptick suggests that lower office attendance earlier in the year may have been due to temporary factors like weather – and that the RTO may still be gaining momentum.
Diving into the data for eleven major business hubs nationwide shows New York and Miami once again at the head of the office recovery pack. Visits to NYC office buildings in March 2025 were just 11.4% below pre-pandemic (March 2019) levels – while Miami trailed by 17.3%. Meanwhile, Atlanta (-29.3%), Washington, D.C. (-30.6%), Dallas (-30.7%), and Houston (-31.0%) all outperformed the nationwide average of -32.2%. San Francisco tied in last place with Chicago, with visits 44.6% below 2019 levels.
Turning to year-over-year (YoY) data, ten of the eleven analyzed cities experienced YoY office visit growth – led by Boston, with a 10.2% uptick. Washington, D.C. also recorded strong YoY gains (9.8%) – while San Francisco continued its recent positive momentum with a 9.6% increase. Los Angeles was the only city to see a minor (-2.2%) YoY visit lag – perhaps lingering fallout from the wildfires earlier this year.
Overall, the Placer.ai Office Index points to a renewed upswing in RTO momentum, likely driven by increasingly strict mandates from governments and corporations. Though persistent post-pandemic office visit gaps point to the continued prevalence of hybrid work, March’s noticeable uptick suggests that offices may be poised to make further gains in the coming months.
For more data-driven CRE insights, visit placer.ai/anchor
With Q1 2025 just under our belts, we dove into the data to see how quick-service and fast-casual restaurants (QSRs) fared in the year’s early months. Which chains managed to weather the headwinds – both fiscal and meteorological – that have weighed on consumer traffic in recent months? And which brands emerged as top performers?
We dove into the data to find out.
QSRs faced a challenging environment in the first part of 2025, as harsh winter weather, economic uncertainty, and heightened value competition from fast-casual chains, full-service restaurants (Chili’s, anyone?), and even grocery stores drove visits down. Overall, QSR foot traffic declined by 1.6% year over year (YoY) in Q1, with much of the drop occurring in February – when a polar vortex and the comparison to a leap-year February 2024 led to a traffic dip. By March, however, visits began to stabilize, and the segment finished out the month with foot traffic levels essentially flat YoY (-0.3%).
Still, some QSRs stood out. Rapidly expanding Raising Cane’s Chicken Fingers, for example, saw YoY gains in both overall visits and average visits per location (12.3% and 3.7%, respectively). Known for quick, quality fare – the chain’s sauces have even inspired viral tik-tok videos – Raising Cane’s fleet growth is clearly meeting robust demand.
Taco Bell also emerged as a Q1 leader, with quarterly visits rising 3.7% YoY. The brand doubled down on value with its expanded selection of Luxe Cravings Boxes. And the tex-mex giant’s limited-time Crunchwrap Slider offering – launched in early 2025 to celebrate the 20th anniversary of the Crunchwrap Supreme – generated plenty of buzz.
Meanwhile, McDonald’s, which launched its new McValue menu in January 2025, narrowed its visit gap to 1.0% in March – an encouraging sign as the year gets into full swing.
Fast-casual fared somewhat better, ending Q1 2025 with flat YoY visits (+0.0%). And though the segment mirrored QSR’s monthly pattern of gains in January, a dip in February, and stabilization in March, several major players posted positive Q1 results – including Chipotle (+4.6%), Panda Express (+3.8%), Jersey Mike’s Subs (+3.1%) and Qdoba Mexican Grill (+1.5%). While fleet expansion contributed to some of these increases, menu innovation – particularly well-chosen chicken and shrimp-focused limited-time offerings – likely also played a role.
In addition to these major chains, several smaller fast-casual brands enjoyed outsized visit performance in early 2025, driven by rapid expansion meeting strong demand. Dave’s Hot Chicken, capitalizing on consumers’ ongoing enthusiasm for chicken dishes, logged a remarkable 59.3% YoY visit surge in Q1 2025, and an 11.6% jump in average visits per location. Health-forward chains CAVA and sweetgreen also grew their footprints – and audiences – likely supported by the return-to-office trend and continued interest in wholesome, convenient dining options.
All told, QSR and fast-casual brands held their own in Q1 2025 – with some brands standing out through strategic value offerings, menu innovation, and expansion. How will QSRs and fast-casual chains continue to fare as 2025 wears on?
Follow Placer.ai’s data-driven dining analyses to find out.
About the Placer.ai Mall Index: The Placer.ai Mall Index analyzes data from 100 top-tier indoor malls, 100 open-air shopping centers (not including outlet malls) and 100 outlet malls across the country, in both urban and suburban areas. Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the country.
Mall visits largely rebounded in March following their February drop. Traffic to indoor malls grew 1.8% year-over-year while open-air shopping centers and outlet malls saw their YoY visit gaps narrow to 1.1% and 0.7%, respectively. The rebound may be driven by the slight increase in consumer confidence among younger consumers (under 35 years old) and consumers from households earning over $125K a year – since affluent households are overrepresented in the trade areas of all three mall formats.
Indoor malls’ March YoY visit growth is the latest manifestation of the format’s strength. Between Q2 2023 and Q1 2024, open-air shopping centers led the shopping center space as this format consistently outperformed the other two mall types on a YoY visit basis. But over the past year, indoor malls have led the pack, with YoY visit trends to indoor malls consistently stronger than visitation metrics for the other two formats.
Some of the strength of indoor malls could be attributed to a sort of “survival of the fittest.” Many indoor malls shuttered in recent years, so the malls that remain in operation – such as the top-tier malls in the Placer.ai Indoor Mall Index – may be receiving some of the traffic that may have previously gone to less successful malls. Indoor malls are likely also benefiting from a renewed demand for the indoor mall experience – which could explain the string of recent investments in class B malls – from Walmart’s purchase of the Monroeville mall to Simon’s redevelopment of the Smith Haven Mall.
March 2025 marked the five-year anniversary of the retail lockdowns. And although this past month marked an improvement in visitation trends on a YoY basis, zooming out in time reveals that the pandemic is still having a lingering impact on both the quantity and quality of mall visits across formats.
All three mall types received fewer, shorter visits in Q1 2025 compared to Q1 2019, with outlet malls seeing the largest drop in both visit numbers and visit duration. Open-air shopping centers experienced the strongest recovery in terms of visit numbers – Q1 2025 traffic was just 2.0% lower than in Q1 2019 – while visit duration fell 4.4%. Indoor malls saw the strongest rebound in visit duration, with Q1 2025 visits only 2.9% shorter than pre-pandemic – but visit numbers were down 7.4%. So despite the resilience of open-air shopping centers and the recent visit gains of indoor malls, the shopping center industry still has a ways to go before visitation patterns return to pre-COVID levels across the board.
As the industry looks beyond the five-year mark, the future of malls will likely depend on adaptability. Operators who can balance digital integration, experiential offerings, and responding to shifting consumer preferences will be best positioned to thrive in a post-COVID retail environment.
While the positive March visit data offers a degree of optimism for the mall industry, it's crucial to acknowledge that the sector is still navigating the long-term effects of the pandemic, characterized by fewer and shorter visits compared to pre-2020. At the same time, the recent success of indoor malls suggests a potential shift in consumer preferences or a concentration of traffic in stronger locations, highlighting the ongoing evolution of the retail landscape. Moving forward, the resilience and future success of malls will likely hinge on their ability to adapt to changing consumer behaviors and integrate innovative strategies that enhance the overall shopping experience.
Consumers are as interested as ever in heath-conscious eating, and many are turning to protein-packed diets to meet their fitness and wellness goals. We took a closer look at two retailers making a name for themselves in the high-protein, health-centric food space – Wild Fork Foods and Clean Eatz.
Wild Fork Foods is a paradise for meat and seafood lovers. The chain, which boasts nearly 60 locations nationwide, is at once a grocer, specialty products purveyor, and prepared foods destination. While much of Wild Fork’s product selection is frozen-meat-centric, the chain also offers a robust array of prepared foods.
And consumers seem to be resonating with the brands’ offerings – foot traffic to Wild Fork Foods consistently outpaced overall grocery visits, with YoY visits 33.8% higher in February 2025 than in February 2024, while overall grocery visits dropped by 1.7%. While some of this visit growth can be attributed to an increase in locations, Wild Fork’s strong performance bodes well for the brand.
Clean Eatz takes a different approach with its product offerings. While the chain boasts an on-site cafe, its real strength lies in its prepared meals and meal kits, which can be ordered individually or as part of full meal plans for the week. Each plan includes detailed nutrition information, making the chain an ideal option for those looking to take their diet to the next level.
This health-centric approach seems to be resonating with visitors, with Clean Eatz foot traffic outperforming the fast-casual restaurant segment in all months analyzed. And like Wild Fork, Clean Eatz has expanded over the past year, opening 14 locations between Q3 2023 and Q3 2024.
While Wild Fork and Clean Eatz share similarities in foot traffic trends and expansion efforts, a closer look at visitor demographics reveals key differences that highlight their respective strengths.
Compared to Wild Fork, Clean Eatz receives more of its traffic during the weekday – 77.3% of Clean Eatz’ visits take place on Monday through Friday, in contrast to Wild Fork’s 62.6%. Similarly, a higher share of Clean Eatz visitors visit the chain on their way to or from work – 14.9% and 10.0%, respectively – compared to Wild Fork’s 7.8% and 4.8%.
This suggests that Clean Eatz has become a convenient meal option for busy weekdays, while Wild Fork primarily attracts shoppers making planned stock-up trips.
Examining demographic data reveals additional distinctions between Wild Fork and Clean Eatz’ customers beyond their shopping preferences. While both chains draw visitors from trade areas with relatively high median household incomes (HHI), Wild Fork’s captured market skews wealthier, with a median HHI of $106.3K, compared to $83.9K for Clean Eatz.
Wild Fork’s trade area also includes significantly more "Near-Urban Diverse Families" – middle-class households living in or near cities – while Clean Eatz thrived with suburban audiences, capturing a higher share of the "Blue Collar Suburbs" Spatial.ai: PersonaLive segment.
These differences highlight that there is plenty of room within the prepared foods segment for a wide range of concepts. By aligning their offerings with customer preferences – perhaps by expanding into suburban markets or focusing on premium selections – retailers can carve out their own space and thrive.
Wild Fork and Clean Eatz are making names for themselves in the prepared food and gourmet grocery spaces. By tailoring their offerings to different consumer preferences, they’ve proven that multiple concepts can thrive within the high-protein food segment.
Will the space continue to evolve? Visit Placer.ai to find out.
Eatertainment concepts have grown in popularity as consumers continue to prioritize experiences. We dove into the latest location intelligence for one of the leaders in the space – Dave & Buster’s – to explore the consumer behavior and demographics behind its foot traffic growth.
Throughout the first three quarters of 2024, visits to Dave & Buster’s increased year-over-year (YoY), likely due to an emphasis on remodels aimed at improving the entertainment and dining experience, as well as the brand’s continued expansion. And though the chain experienced a moderate visit gap in Q4 2024, it finished out the year with an overall 3.0% YoY increase in visits. Visits to the chain in 2024 were also up 4.7% when compared to 2019 (pre-pandemic) – an impressive showing given the headwinds that have plagued the wider full-service restaurant space in recent years.
Although visits to Dave & Buster’s have lagged YoY most weeks in 2025 so far, this may have more to do with severe weather experienced in large parts of the country than with a sustained decrease in demand for the chain. Indeed, during the week of March 17th, 2025, visits increased YoY, highlighting the popularity of March Madness and Dave & Buster’s spring break promotions – and perhaps signaling a positive start to the chain’s busy spring season.
In 2024, Friday through Sunday accounted for a large share of Dave & Buster’s visits (62.7%), but compared to 2023, the days with the greatest increases in foot traffic were Monday (8.2%), Tuesday (8.0%), Thursday (6.8%), and Wednesday (5.3%). Meanwhile, Friday and Saturday traffic increased by only 1.8% and 1.0% respectively, and Sunday visits were flat YoY. So although the chain received a majority of its visits on weekends (Friday-Sunday), most of its YoY visit growth came from weekday visits.
This validates Dave & Buster’s promotional strategy of incentivizing weekday visits when locations can leverage available capacity.
Dave & Buster’s focus on weekday promotions has likely resonated particularly well with its core audience – consumers with median household incomes (HHIs) slightly below the nationwide baseline. For many middle-income Americans, the chance to indulge without overspending is crucial in a time of rising prices and economic uncertainty, and Dave & Buster’s has effectively met their needs with its discounted midweek food, drinks, and gameplay options.
But in addition to young singles and cost-conscious families (such as the “Family Union” segment, encompassing middle-income, middle-aged families in blue-collar occupations), the brand also appeals to several more affluent consumer segments. In 2024, Dave & Buster’s captured market featured higher-than-average shares of both the “Suburban Style” and “Flourishing Families” segments, which include different groups of affluent, middle-aged couples and families. This broad appeal across a diverse range of consumer groups positions the brand on solid footing as it continues to navigate a challenging economic environment.
Dave & Buster's has seen increased customer traffic, likely due to strategic renovations and an expanded footprint. While weekend visits remain dominant, weekday growth indicates successful promotional efforts that resonate with diverse consumer groups.
For more data-driven consumer insights, visit Placer.ai.
Forget water, soda, or tea – coffee reigns supreme in the United States. A recent study reveals that coffee surpasses even water as the nation's most consumed beverage. This continued demand is fueling a robust coffee shop sector that continues to thrive despite economic headwinds.
We took a closer look at industry-wide trends to understand how the segment is performing.
The coffee segment has seen consistent visit growth over the past few years, demonstrating remarkable resilience – a trend fueled by steady consumer demand. Analyzing the baseline change in quarterly visits from Q1 2019 underscores this growth – and also reveals distinct seasonal patterns.
Visits to coffee shops plummeted during the pandemic, as consumers hunkered down at home and many independent coffee shops went out of business – but swiftly rebounded as consumers sought affordable luxuries and a sense of normalcy. Between 2021 and early 2024, coffee foot traffic continued to climb, as chains from Starbucks to Dutch Bros expanded their footprints. The visit growth followed a fairly predictable seasonal rhythm, slowing in the first quarter of the year and peaking in Q4. But though visits in Q4 2024 were slightly higher YoY, they remained relatively flat compared to Q2 and Q3 2024, possibly signaling that the industry may be reaching a plateau.
Looking at the data by region reveals that coffee shop visit growth has been widespread throughout the country, with most CBSAs experiencing growth relative to 2023.
Some areas – like parts of the Midwest and South – experienced especially pronounced growth, suggesting heightened interest in coffee chains in these regions. Coffee visit growth in the South in particular may be partially a reflection of greater market penetration following chain expansions and inflows of domestic migration over the past several years. And while some areas of the country saw YoY declines, most CBSAs saw continued growth, highlighting the consistent appeal of coffee chains across a wide range of markets.
There are hundreds of coffee shops nationwide catering to every kind of coffee drinker – from chains with 2-3 locations specializing in artisanal blends to major players like Starbucks and Dunkin'. And diving into the visit split between small, mid-sized, and large coffee chains shows that mid-sized coffee chains – many of which are drive-thru focused – are gradually claiming a greater share of the market.
Between 2019 and 2024, the share of visitors to mid-sized coffee chains grew from 10.8% to 17.6%. Some of this growth can be attributed to Dutch Bros’ ascendance – but other fast-growing coffee chains like BIGGBY Coffee are contributing to this growth.
Smaller coffee chains also saw their visit share increase, albeit more modestly, from 3.2% in 2019 to 4.4% in 2024. This trend suggests that, while Starbucks and Dunkin' continue to dominate, there remains plenty of room – and interest – for smaller, independent chains to thrive.
Indeed, diving into visitor behavior at small, mid-sized, and large chains highlights the distinct niches these segments effectively fill. Between 2023 and 2024, short visits (<10 minutes) increased more than longer visits at mid-sized and large chains, while large chains actually saw a drop in longer visits, likely a result of increased emphasis on drive-thru and mobile ordering.
Meanwhile small chains saw a greater YoY increase in long visits (+13.4%) than in short ones (+9.1%), suggesting that smaller coffee shops are increasingly filling the niche of a relaxed, destination-oriented experience.
These shifts highlight the different needs that coffee shops can fill within a community, with some offering speed and convenience, while others can meet the desire for a relaxed and personalized coffee experience.
The success of the overall coffee segment highlights the continued consumer demand for affordable luxuries even as economic uncertainty persists, and the benefits of a diverse market that accommodates different visitor needs.
Will the coffee segment continue to thrive into 2025? Visit Placer.ai for the latest data-driven dining insights.
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.
