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Thrifting is on the rise. Whether fueled by a desire to shop more sustainably, find unique pieces, or save money, consumers have been increasingly turning to secondhand clothing stores for their new threads. And interest in thrift shopping is only expected to grow over the next few years – with some estimates putting the U.S. secondhand market at $73 billion by 2028.
With 2024 nearly at the midway point, we dove into the data to take a closer look at the segment.
The past few years have seen a growing interest among consumers in all things value, and thrift shops have been reaping the benefits. Between January and May 2024, the segment experienced strong monthly year-over-year (YoY) foot traffic growth. And compared to pre-COVID, too, thrift stores drew 29.6% more foot traffic in Q1 2024 than in Q1 2019.
Diving into the visit performance of individual thrift store chains reveals strength across a variety of brands. YoY visits to Goodwill, Crossroads Trading Co., and Savers were consistently elevated between January and May 2024.
Who are the shoppers driving thrift shop visit growth? Analyzing the demographics of thrift store visitors’ trade areas reveals that in 2024, thrift stores serve an economically diverse customer base. Data from the STI: PopStats dataset combined with Placer.ai captured market data shows that Goodwill draws customers from areas with a median household income (HHI) below the nationwide median $76.1K. Savers, for its part, draws shoppers from average-income areas, while Crossroad Trading Co. attracts a high-HHI customer base – likely due to the chain’s strong presence in affluent California and focus on high-end items.
Still, a look at the wider apparel shopping habits of thrift store visitors shows that these shoppers tend to be bargain hunters: Between January and May 2024, visitors to Crossroads Trading Co. and Savers were more likely to visit Goodwill than any other clothing chain. But they – together with Goodwill visitors – also did plenty of shopping at off-price chains like Ross Dress For Less, Marshall’s, and T.J. Maxx. (Crossroad Trading Co., which places a strong emphasis on selling on-trend, high-end items, also saw many of its customers shopping at Macy’s, while Savers visitors were more likely to frequent Kohl’s).
This consistent interest in budget-friendly venues underscores the strong preference for value among the growing ranks of thrift store shoppers
Thrifting is proving its staying power, with visits to major thrift stores outpacing those of other apparel categories. Will the secondhand market continue on its upward trajectory?
Follow Placer.ai to keep up with the latest data-driven retail trends.
Limited-assortment value grocery stores like Aldi and Grocery Outlet Bargain Market have thrived in recent years, as inflation-wary consumers sought out ways to save money at the till.
But how are these chains faring in 2024? Have cooling inflation and increased consumer confidence put a dent in their performance? We dove into the data to find out.
As the name suggests, limited-assortment grocery stores are known for carrying fewer products than traditional grocery stores in a bid to cut down on overhead costs and pass savings on to consumers. These chains also utilize other methods, such as private label brands, opportunistic merchandising, and fewer in-store amenities, to keep prices low.
And foot traffic data shows that in the first part of 2024, consumers continued flocking to these brands to grab groceries at a discount – driving year-over-year (YoY) foot traffic growth that far outperformed that of traditional grocery stores. In May 2024, for example, visits to the overall grocery segment grew by 7.9% YoY, while Aldi and Grocery Outlet Bargain Market experienced YoY growth of 26.3%, 14.3%, and respectively.
Some of this foot traffic growth can be attributed to the two chains’ continued expansion: Aldi added dozens of new stores in 2023 – with hundreds more in the pipeline – and Grocery Outlet Bargain Market also significantly grew its footprint. But the average number of visits to both brands’ individual locations also increased, again outpacing traditional grocery, showing that their expansion is meeting robust demand.
Looking into the loyalty rates of visitors to these limited-assortment value chains provides more reason for optimism for the sector: Over the past three years, Aldi and Grocery Outlet Bargain Market both saw an increase in loyal visits – defined as those made by people who frequented the chains at least four times in a month.
In April 2022, for example, 28.0% of visits to Aldi and 27.0% of visits to Grocery Outlet Bargain Market were made by people who visited the chains at least four times during the month – but by 2024, these shares grew to 30.1% and 30.2%, respectively. A similar trend was observed in May 2024.
Increasingly, it seems, people are doing at least part of their routine weekly grocery shopping at these limited-assortment chains. And with consumers continuing to seek ways to save money, these grocers are well-positioned to continue growing their visit shares.
The limited-assortment, value grocery model continues to prove its staying power, with impressive foot traffic, visits per location, and loyalty rates.
Will the segment continue on its upward trajectory?
Visit Placer.ai to find out.
About the Placer 100 Index for Retail & Dining: The Placer 100 Index for Retail & Dining is a curated, dynamic list of leading chains that often serve as prime tenants for shopping centers and malls. The index includes chains from various industries, such as superstores, grocery, dollar stores, dining, apparel, and more. Among the notable chains featured are Walmart, Target, Costco, Kroger, Ulta Beauty, The Home Depot, McDonald’s, Chipotle, Crunch Fitness, and Trader Joe's. The goal of the list is to provide insight into the wider trends impacting the retail, dining, and shopping center segments.
Foot traffic patterns at leading chains can serve as an interesting proxy for consumer sentiment – offering a glimpse into the overall health of the retail and dining spaces. And analyzing the YoY foot traffic performance of the Placer 100 Index for Retail & Dining over the past twelve months reveals that, for the most part, major retail and dining players have enjoyed consistently strong visit growth. In November and December 2023 – during the height of last year’s holiday shopping season – foot traffic to the chains included in the Index increased 2.9% and 3.7% respectively, compared to the equivalent period of 2022.
And although 2024 opened with a slight, weather-driven YoY decline in visits, retail and dining foot traffic quickly bounced back, finishing out May with a 5.1% increase. This springtime jump was partly due to two special calendar days – Mother’s Day weekend, and Memorial Day weekend – both of which drove bigger visit spikes this year than in 2023.
These robust visitation patterns highlight consumer resilience in the face of headwinds – and may be an encouraging indicator of a thriving summer ahead.
Zooming into the Index’s regional performance during May 2024 uncovers impressive positive YoY visit growth across the nation.
The Midwest led the way, buoyed by strong YoY foot traffic growth in South Dakota (6.7%), Michigan (6.4%), and North Dakota (6.4%). But the two states with the biggest YoY visit boosts – Vermont (7.4%) and New Hampshire (7.0%) – were in the Northeast, and the South and West performed well too. This impressive increase in retail and dining visits was observed across the vast majority of the continental U.S., regardless of population size and local weather conditions. Such widespread growth indicates a robust and uniform recovery in consumer activity nationwide, suggesting that factors beyond regional characteristics, such as slowing inflation and increased consumer confidence, played a significant role in driving this trend.
Drilling down into the rankings of individual chains in the index can highlight some of the key trends shaping retail and dining this year.
Value-oriented retailers – including Aldi, Ollie’s Bargain Outlet, and Dollar General, – featured prominently among May’s top performers, both for YoY chain-wide visits and for YoY average visits per location. This robust showing demonstrates the continued draw of budget fare, which has been observed across a wide range of segments – from grocery to apparel.
The quest for savings spilled over into other segments as well. Value gym Crunch Fitness, which grew its footprint significantly over the past year, ranked among the top performers both for overall visits and for visits per location – showcasing the success of its expansion strategy. And casual dining chains Chili’s Grill & Bar and Buffalo Wild Wings also made the list, with YoY visit growth likely driven by successful value promotions.
Indeed, Chili's Grill & Bar – propelled by its hit Big Smasher Burger promotion – has emerged as this month's leading chain, topping the charts both for overall visits (26.3%) and for average visits per location (26.1%).
Hungry, budget-conscious diners can get Chili’s Big Smasher as part of the chain’s signature 3 for Me deal, which lets diners choose a beverage, starter, and main course starting at $10.99. And the offering, which was launched on April 29th, 2024, has become a sensation – going viral on TikTok and garnering significant media attention.
The promotion is competitively priced against QSR offerings, at a time when fast-food chains have seen slowing sales due to cutbacks by inflation-wary consumers. Chili's has been praised for delivering exceptional value – and taking a closer look at weekly visitation trends shows that this strategy is paying off. Chili’s saw a surge of weekly visit growth beginning the week of the promotion (April 29th), and has continued thriving since. This highlights the importance of understanding consumer needs and finding ways to deliver value.
Will June continue to see a rise in retail and dining visits as summer approaches? Will the success of retail and dining foot traffic remain evenly spread across regions, even as some areas are more affected by summer heat? And will value-oriented retailers continue to dominate the ten top performers in retail and dining?
Visit Placer.ai to find out.
It’s no secret that the restaurant category is starting to get more promotional. As consumers–especially lower income consumers–have shifted toward substitute food retail channels like value grocers, warehouse clubs, and convenience stores due to the compounded effect of food-away-from home inflation, restaurant chains across all tiers are resorting to increased promotional activity to drive visit trends.
Over the past few weeks, we’ve discussed that several casual dining chains had seen success through all-you-can eat and other deep discount promotions. Last week, we noted that Chili’s had been outperforming broader casual-dining category averages through its value messaging. We also noted the success of Buffalo Wild Wings All-You-Can Eat wings promotions on Monday and Wednesdays starting in mid-May. Below, we show visit trends to Buffalo Wild Wings on Mondays and Wednesdays compared to their year-to-date averages since the beginning of March. The promotion has helped to drive incremental visits on two traditionally slower days. During May, the chain was seeing visits greater than 30% its normal daily visit count for Mondays and Wednesdays during the earlier part of the promotion and exceeding 50% during the latter part of the month. While it's unlikely that this promotion will be permanent–restaurants have to work with their suppliers ahead of time to make sure they have sufficient food for promotions like this–but given the success, the chain may consider running during other months (and potentially other days of the week) later this year.
However, as we noted in our recap of this year’s National Restaurant Association show, QSR chains have started to get more promotional ahead as they look to recapture visit share lost to value grocers, dollar stores, and c-stores (especially within lower-income trade areas). McDonald’s will launch a national $5 value menu promotion on June 25, but it’s clear that other QSR chains are already seeing success with their competing $5 promotions. Below, we show year-over-year weekly visit trends from March through early June for the major QSR burger chains. Burger King launched its own $5 Your Way Meal value menu this past week, and has seen visit trends accelerate since then. Starbucks–which has historically stayed away from discounts as a way to protect its premium brand position–also surprised the industry by announcing a $5-$7 “pairings menu” this week.
Easing commodity costs have allowed restaurants to get more promotional, although when paired with rising labor costs (especially in California, which we covered last week), it does set up an environment where restaurant profits will likely be squeezed over the next several months. Also, substitute food retail channels are likely to introduce their own price reductions in the months to come (as we’ve already seen from Walmart).
Summer has unofficially arrived, and with that comes the desire to relax, unwind and travel. And despite some of the economic uncertainty still facing consumers, 2024 is off to a surprising start for traffic in certain parts of retail. According to AAA, auto traffic growth for Memorial Day weekend was projected to grow by 4% compared to last year and by almost 2% versus 2019. Car travel has long been seen as the value-based travel method across the U.S., and who can forget the allure of the “summer road trip”. But inflationary pressures may have made it less appealing over the past few years. In the most recent consumer price index for May 2024, a drop in gasoline prices was a large positive contributor to the overall rate of 3.3%, which could provide a stronger consumer push for summer car travel.
With the positive momentum in auto traffic and gas prices, gas station and convenience store traffic has greatly benefited since Memorial Day weekend. In fact, visits to chains from May 20 to June 10 this year increased by 11% compared to the same weeks in 2023 and 15% versus 2022. Traffic to convenience stores and gas chains is up almost 30% compared to the same weeks in 2019. Traffic growth steadily climbed over the course of the three weekends measured, and the weeks had some of the highest growth rates so far in 2024 with the exception of a week in March. Even with the projected increase in auto traffic across the country, convenience and gas is the summer blockbuster, building on the consumer trends of the past year and the successful strategies of various retailers.
Wawa, in particular, saw strong visit patterns in the first unofficial few weeks of summer travel. The chain at a total level is up an impressive 14% year-over-year for the measured weeks. Looking at Wawa’s performance across various states, Florida drove much of the growth in traffic as the weather heats up, and outperformed some of the brand’s stronghold states like Pennsylvania & New Jersey. Average dwell times at Wawa locations in Florida are almost a minute higher than the chain average, highlighting that stores are not only pulling in more visits, but keeping visitors in-store for longer. The strong performance of the Florida locations, even during the off season, corroborates the brand’s investment in expansion across the state. One might suspect that Wawa is well positioned heading into the remainder of the summer with its coastal strategy.
Will C-stores continue to grow traffic as we officially enter the summer season? All signs point to yes, even if gas prices rise due to increased demand. Chains have done a fantastic job of enticing consumers with unique food offerings and might become the must-visit destination before heading to the beach this summer.
Darden Restaurants, Inc. operates a portfolio that includes some of the biggest names in full-service dining, including Olive Garden, LongHorn Steakhouse, Cheddar’s Scratch Kitchen, Yard House, Ruth’s Chris Steak House, Bahama Breeze, and Eddie V’s Prime Seafood.
How are these restaurants performing as Q3 2024 approaches? We took a closer look at the location analytics to find out which restaurant chains are thriving in today’s challenging economic climate.
Darden’s three largest restaurant chains – Olive Garden, LongHorn Steakhouse, and Cheddar’s Scratch Kitchen – are some of the best-known names in casual, full-service dining. These chains have a strong presence across the country and have experienced mainly positive YoY foot traffic this year so far.
Although foot traffic was lower YoY in January and April 2024, these dips can be attributed to external factors, such as January’s inclement weather and an April calendar shift (i.e. the timing of Easter, as well as the extra Saturday in April 2023). And in May the three chains quickly rebounded, ending the month with respective YoY visit increases of 2.4%, 6.4%, and 2.3%.
Darden operates various smaller brands offering different dining styles and price points, ranging from upscale options like Eddie V’s and Ruth’s Chris Steakhouse to more casual spots like Bahama Breeze and Yard House. These smaller chains also experienced strong visitation patterns in early 2024 – with May YoY visits up between 3.9% and 8.5%.
Darden’s strong February and May showings were likely fueled, in part, by two distinctly important days on the Darden restaurant calendar: Valentine’s Day and Mother’s Day.
In absolute terms, Olive Garden – Darden’s largest chain by far – drew the most visits on both holidays as compared to a January 1, 2024 baseline, claiming the top spot this year as America’s favorite Mother’s Day destination. But on a relative basis, Darden’s premium brands Eddie V’s and Ruth Chris experienced the biggest visit spikes, as people splurged on celebratory outings. And laid-back chain Bahama Breeze saw a sustained visit boost from Valentine’s Day through Mother’s Day, likely owing to its strong presence in Florida – making it an attractive destination for the snowbirds and vacationers who visit the state during the winter.
And surprisingly, even casual dining venue Yard House – known for its beer and sports atmosphere rather than romantic setting – experienced a Valentine’s Day visit boost. This suggests that there is a tangible benefit from these holidays across a wide range of dining styles – and restaurant operators can use these insights to encourage visits on such occasions.
Darden continues to attract customers to its restaurants in spite of a challenging economy by offering a variety of dining choices and capitalizing on popular dining-out occasions such as Mother’s Day and Valentine’s Day.
Will the company’s visit growth continue to trend upward as 2024 wears on?
Follow 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.
