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Last week, Chipotle’s Q1 2024 update featured a number of positives, including visitation trends that outperformed the broader restaurant category and strong contribution from new store openings. More than 5% of the company’s 7% comparable sales growth during the quarter was driven by transaction growth, and year-over-year visitation trends have accelerated thus far in April. (Recall that our year-over-year visitation data includes contribution from stores opened during the past year as well as improvements in visits per location).
Impressively, there were multiple sources driving Chipotle’s transaction growth during the quarter. The company’s strong track record for menu innovation under CEO Brian Niccol continued during the most recent quarter, with the company spotlighting Barbacoa and the return of Chicken Al Pastor as a limited time offer. Management will continue to explore new menu additions, and is currently developing a new product pipeline for the next 18-24 months.
While menu innovation is important, it’s clear that throughput (the amount of customers that can be served with Chipotle’s assembly line process) is becoming a major factor in visitation traffic outperformance. We believe this has been driven by lower employee turnover rates—the company noted that it is experiencing the lowest turnover rates since Niccol joined the company in March 2018. According to management, throughput reached the highest levels in four years because of more consistent staffing, which aligns with our visit per location data for the past five years (below).
Chipotle noted that its throughput improved by nearly 2 entrees in its peak 15 minutes compared to last year with each month showing an acceleration. According to the company, “the restaurants run more smoothly as our teams are properly trained and deployed, which allows them to keep up with demand without stress. This leads to more stability and therefore more experienced teams that execute better every day, and this can be seen in our latest turnover data which is at historically low levels.” Our data also shows that visitation trends are improving during its peak hours, but that its peak hours are also changing. Historically, the hours between 12:00 PM-2:00 PM have represented Chipotle’s most frequently visited hours, but post-pandemic, we’ve seen visits shift to the 6:00 PM-8:00 PM timeframe (below). Return-to-office trends partly explain these trends, as do Chipotle’s push into smaller, more suburban/rural markets.
When we look at visit per location trends by hour, we see that most of the improvement during the Q1 2024 compared to Q1 2023 took place during the later afternoon and evening dayparts.
Looking ahead, Chipotle sees an opportunity to improve peak hour throughput, including adjusting the cadence of digital orders to better balance the deployment of labor (thus eliminating the need to pull a crew member from the front makeline to help the digital makeline during peak periods). The company also plans to bring back a coaching tool for its associates that it had in place prior to the pandemic. With more and more retailers embracing generative AI to help educate and train their employees-–a trend we heard consistently at this week’s Analytics Unite conference–we would expect Chipotle to also adopt generative AI with its updated coaching tool, potentially unlocking greater throughput improvements in the process.
The widespread adoption of hybrid work continues to be one of the most significant paradigm shifts since the COVID pandemic. As employees visit offices less frequently, or not at all, corporate users are opting for less but better space which is driving office vacancy rates to record highs.
But even as utilization for many office buildings remains below capacity, some buildings are clearly prospering. So what sets these thriving properties apart from the pack? We looked at outperforming office buildings in four major metro areas – New York, Chicago, San Francisco, and Dallas – to find out.
The post-pandemic office recovery has been uneven across the country. As of February 2024, a significantly larger share of workers in the New York-Newark-Jersey City and Dallas-Fort Worth CBSAs were back in the office, while office visits in the Chicago-Naperville-Elgin and San Francisco-Oakland-Berkeley CBSAs remained subdued.
But throughout the country, the reality is much more nuanced as some office buildings struggle to maintain occupancy,others are thriving. We identified four office buildings in four major metropolitan areas where the recovery in utilization was significantly stronger than the respective metro:
What sets these buildings apart from the pack?
One factor that isn’t driving the office recovery at these high-occupancy office buildings is different weekly visitation patterns.
Location intelligence for offices nationwide indicates that hybrid workers appear to prefer coming to the office mid-week: The bulk of weekly visits occur on Tuesdays, Wednesdays, and Thursdays, with fewer visits taking place on Monday and even less visits on Fridays. And this was also the weekly visitation pattern in the four CBSAs analyzed as well as in the high-occupancy office buildings. In fact, the outperforming office buildings had even more of their visits concentrated mid-week compared to the visit patterns in the wider CBSA.
It seems, then, that the higher visits to these outperforming offices is not due to more employees coming in on typical WFH days. Instead, more workers are likely coming in mid-week to make up for the lull on Mondays and Fridays.
So who are these visitors? And could they hold the key to these buildings' strong recovery numbers?
Focusing on the period between March 2023 and February 2024 reveals that in all the labor catchment areas of the analyzed Office Indexes, the share of one-person households was larger than the nationwide share of 27.5%. And during the same period, the share of one-person households in the catchment areas of the high-performing office buildings was even greater – almost 50% of households in the captured market of 2010 Flora St. in Dallas consisted of one-person households.
On the other hand, families with children were underrepresented in the catchment areas of the office indexes relative to the nationwide average of 27.1% – and the share of households with children was even lower in the catchment areas of the high-occupancy office buildings.
This indicates that those with young children at home were generally less likely to go into the office – and so the office buildings seeing the strongest post-COVID recovery are those that serve a large contingent of single employees. On the flip side, there is often a motivation for young singles to visit the office more frequently, whether driven by the desire for training and mentorship or the prospect of meeting a significant other in or around the workplace.
Much has been written on the challenging impact that return-to-office mandates can have on working parents – and especially on working mothers – so it may not come as a surprise that employees from family households are underrepresented in office buildings in 2024.
But the fact that one-person households are even more prevalent in the labor markets of the overperforming buildings (as compared to the wider CBSA Office Index) indicates that businesses and office assets can thrive even without wooing working parents back to the office.
So who are these singles driving the return to the office? Some of this segment may be made up of Gen-Zers seeking the networking and mentorship opportunities provided by an in-person office setting. But it’s not just younger workers leading the return to the office – the data indicates that executives and managers also make up an outsized portion of the outperforming buildings’ catchment areas. In all four CBSAs analyzed, the catchment area of the high-occupancy building included a significantly larger share of people in a managerial or executive role compared to the average catchment area composition of the wider CBSA Office Index.
Many of these executives are likely choosing – rather than being forced – to work on-site. Some might be looking to encourage their staff to return to the office by leading by example, while many are likely leveraging their space to host clients, driving foot traffic to these locations higher. But whatever factors are driving the trend – it appears that office buildings looking to bounce back in the new normal need to make sure they are drawing back the managerial ranks.
Analyzing the popular industries and occupations in the catchment areas of the office buildings and industries also reveals that the overperforming buildings serve a much higher share of employees working in finance, insurance, and real estate. A larger share of the catchment area population of the high-occupancy office complexes also works in professional services – including high-tech jobs – compared to the office index in the wider CBSA.
Many financial institutions and tech companies have asked employees to return to the office at least three days a week, which could explain why these industries are overrepresented in the catchment area of the high-occupancy buildings. This data may indicate, then, that while some of the foot traffic is coming from executives choosing to return to their pre-COVID work habits, the return-to-office mandates – whether full or part-time – are likely also helping these buildings stay ahead of the curve.
Although the proliferation of office vacancies across the country can make it seem like the return to office battle has already been lost, several buildings are bucking the trend. Location intelligence indicates that a combination of partial return-to-office mandates along with a larger-than-usual share of visitors from executives and non-parental households is helping these office complexes thrive.
Sweetgreen and First Watch both went public in 2021 and have since steadily increased in popularity – and in store count. So with 2024 well underway, we checked in with the two brands to see how they fared in Q1 and to explore some of the factors underlying their success.
Despite the dining challenges of much of 2023 and early 2024, sweetgreen posted impressive visits between April 2023 and March 2024, with the chain’s YoY traffic increases ranging from 21.4% to 51.6%.
The remarkable visit surge was partially driven by the sweetgreen’s significant expansion, which could explain the slight dips in average visits per location for much of 2023 while consumers around sweetgreen’s newer restaurantes familiarized themselves with the brand’s offerings. But since December 2023, YoY visits per location have been positive – with the exception of a weather-induced slump in January – indicating that the chain’s newer venues have established themselves within their community.
This narrowing of the gap between visits and visits per location may also signal the success of sweetgreen’s strategic shift towards prioritizing "quality over quantity” – slowing down expansion and investing in an enhanced customer experience.
As a salad and grain-bowl chain, sweetgreen holds special appeal for wellness-focused younger consumers, including singles and members of the coveted Gen Z demographic. But as the chain has expanded, it has also succeeded in reaching new audiences.
Sweetgreen has been explicit about its goal of reaching Gen Z consumers. And analyzing the demographic makeup of the chain’s captured market reveals that sweetgreen’s trade area includes a relatively large share of one-person households (that tend to be on the younger side) But analyzing shifts in the chain’s captured market composition over the past five years also reveals that the share of one-person households has been decreasing – while remaining above the nationwide average of 28.0% – and the share of households with children has increased. So even as sweetgreen continues serving its core consumers, the chain’s expansion has also allowed sweetgreen to reach new audiences.
First Watch is also in expansion mode, and with plans to open some 50 more restaurants this year the chain shows no signs of slowing down. And, like sweetgreen, First Watch’s expansion has driven significant growth to the chain’s overall visits – and the chain’s average visits per location numbers are up as well, indicating that the new venues are finding a receptive audience.
By staying nimble on its feet and continually changing up its menu offerings, First Watch has succeeded in differentiating itself from other breakfast chain giants – and appears poised to enjoy continued success throughout the year.
First Watch’s expansion has also helped the company reach new types of diners even as the chain continues catering to its core audience. The share of the Spatial.ai: PersonaLive’s “Upper Suburban Diverse Families” segment in First Watch’s captured market has held steady over the past five years, even as the share of the “Blue Collar Suburbs” and “Urban Low Income” segments increased. It seems, then, that First Watch has also succeeded in leveraging its store fleet expansion to reach new audience segments – without sacrificing its core patrons.
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Sweetgreen and First Watch’s expansions have helped the companies increase visits and reach new segments – without sacrificing their core audiences. What does the rest of 2024 have in store for the chains?
Visit our blog at placer.ai to find out.
Dining took a hit over the past few years, with major challenges from COVID to rising costs weighing on the category. And perhaps no food-away-from-home segment was more impacted than Full Service Restaurants (FSR) – which stagnated as consumers traded down and sought out more affordable ways to treat themselves.
But new years present new opportunities – and there are signs that sit-down restaurants may be springing back to life. So with 2024 underway, we dove into the data to explore the current state of FSR. Is cooling inflation prompting a rise in Full Service Restaurant activity? How did FSR leaders like Dine Brands (owner of casual dining favorites Applebee’s and IHOP), Bloomin’ Brands (owner of popular grill and steak chains like Outback Steakhouse and Carrabba’s Italian Grill along with high-end Fleming’s Prime Steakhouse & Wine Bar), and Texas Roadhouse fare in Q1?
With some 1500 locations nationwide, Applebee’s has long been a mainstay of the American casual dining scene. Like other FSR chains, Applebee’s experienced a setback during the pandemic and has since faced industry-wide headwinds. But even though the brand’s store fleet shrunk by around 30 stores last year, overall YoY visits to Applebee’s declined just slightly between October 2023 and February 2024 (January’s weather-driven slump aside). And in March, the chain saw a promising 3.8% YoY visit uptick.
Breakfast leader IHOP also experienced negative YoY visits in October and November 2023, but in December – when the pancake chain traditionally enjoys a major holiday boost – visits jumped 2.8% YoY. Like Applebee’s, IHOP felt the effects of January’s Arctic blast, but saw its visits recover quickly in February and March 2024.
Bloomin’ Brands’ leading casual dining chains Outback Steakhouse, Carrabba’s Italian Grill, and Bonefish Grill appear to be following largely similar trajectories.
Though the brands experienced YoY visit gaps through most of Q3 2023 – and were whalloped by January’s inclement weather – all three chains experienced YoY visit increases in March 2024. Given the fact that the restaurants’ store counts didn’t change significantly last year, this visit growth appears to portend good things for Bloomin’s fast casual portfolio in the year ahead.
But it is Bloomin’ Brands’ fine dining concept, Fleming’s Prime Steakhouse & Wine Bar, that really seems to be hitting it out of the park. While Fleming’s also saw visit gaps between October 2023 and January 2024, the chain experienced 9.6% and 7.5% visit growth, respectively, in February and March 2024 – closing out Q1 with a bang.
Fleming’s particularly robust recent performance may be due in part to its relatively affluent customer base. Nearly one-third of households in Fleming’s captured market have an annual income of $150K or more – compared to just 18.6% to 23.7% for Bloomin’s casual dining concepts. Though a night out at the fine-dining steakhouse can be expensive, Fleming’s well-heeled visitor base is better positioned to absorb price increases than other consumers.
Appealing to affluent consumers, however, isn’t the only way to go. Texas Roadhouse is firmly in the casual dining space and tends to cater to average-income diners. (In Q1 2024, just 15.2% of its captured market had a household income ≥$150K.) But the steakhouse’s strategy of satisfying steak lovers with high-quality, affordable offerings is working: Throughout Q1, Texas Roadhouse experienced strongly positive YoY visit growth. And while some of this growth is attributable to the brand’s increasing unit count, the average number of visits per location is generally keeping pace – showing that Texas Roadhouse’s expansion continues to meet strong demand.
Though more affordable Dining segments like QSR and Fast Casual began to spring back to life last year, FSR has yet to fully recover from the double whammy of COVID and inflation. But if March 2024’s promising numbers are any indication, the category may be in for a turnaround. How will FSR continue to perform as 2024 progresses?
Follow Placer.ai’s Dining deep dives to find out.
Restaurants continue to face headwinds, from still-high food-away-from-home prices to rising labor costs. But despite these challenges, there are promising signs that the industry may be in for an upturn. And increasingly, chains are leaning into breakfast and late night offerings to maximize revenue and foster customer loyalty.
So with Q1 2024 under our belts, we checked in with Wendy’s and Denny’s, two dining leaders with very different offerings in the breakfast space. How did they weather the first quarter of 2024 (pun intended)? And which dayparts experienced the biggest visit boosts in Q1?
After a tough Q4 2023 – and a January 2024 dragged down by cold and stormy weather – YoY visits to Wendy’s and Denny’s began to pick up in February and March 2024. And even accounting for January’s Arctic blast, Wendy’s and Denny’s came out ahead on a quarterly basis, with YoY visits up 0.7% and 1.0% respectively.
Wendy’s first launched its breakfast menu in March 2020, just before COVID sent the dining industry into a tailspin. But despite a rocky start, Wendy’s doubled down on the morning daypart, continually tweaking its breakfast offerings and investing ad dollars to boost breakfast sales.
Drilling down into hourly visit data shows that this strategy is paying off. Visits to Wendy’s during the morning daypart (between 6:00 AM and 11:00 AM) jumped 9.3% in Q1 2024 compared to Q1 2023. The chain’s nighttime daypart – which the burger giant began advertising in 2023 for the first time in four years – also saw a YoY boost. Meanwhile, Wendy’s traditional lunch and dinner time slots held steady, with just minor quarterly visit gaps, indicating that the chain’s overall YoY visit growth in Q1 was driven by its breakfast and nighttime push.
Denny’s has always been all about breakfast. And with some 75.0% of Denny’s locations open 24/7 (even on Christmas), hungry diners frequent the chain day and night to satisfy their cravings for hash browns, eggs, pancakes, and other breakfast favorites.
Unsurprisingly, the chain gets most of its visits in the morning and early afternoon. But in Q1 2024, it was the late night daypart that experienced the biggest YoY visit bump – perhaps driven in part by Denny’s push last year to increase the number of locations open in the wee hours.
But Denny’s busiest time slot, between 11:00 AM and 3:00 PM, also experienced a YoY visit increase – showing that even as the chain cements its role as a go-to nighttime destination, it continues to face healthy demand during more traditional dining dayparts.
Breakfast and late night dining offerings have emerged as important drivers of dining success. How will these dayparts continue to fare as the year wears on? And which other brands will make inroads into the breakfast and nighttime dining game?
Follow Placer.ai’s data-driven dining analyses to find out.
At a time when retail loyalty appears to be low, warehouse clubs remain the exception. Bulk is big business in the U.S. retail market, and clubs have found a way to deliver on a combination of value, convenience and experience, and sometimes $1.50 hot dogs. The allure of the warehouse club defies some current consumer logic; U.S. households are not growing according to the U.S. Census Bureau. But, clubs also represent much of what is good in retail today: a broad combination of goods and services, inherent value and high quality private labels.
These factors have aided warehouses in growing store traffic compared to their mass merchant counterparts, particularly in the first quarter of 2024. Clubs--including BJ’s Wholesale Club, Sam’s Club and Costco Wholesale--saw visits increase by almost 8% year-over-year, almost double the combined growth of Walmart and Target during the same period. Mass merchants have been squeezed by other value sectors, clubs have been able to hold their own and continue to provide “perceived” value to shoppers, contributing to their traffic volumes.
Beneath the umbrella of growth, each chain has some surprising competitive advantages, and it’s clear that each club serves a distinct purpose to its visitors. In reviewing daily visits, Sam’s Club owns Saturdays, with 22% of visits occurring that day (as shown below), the highest percentage of visits compared to its competition. In contrast, Costco sees a higher percentage of visits on weekdays, specifically Tuesday through Thursday, compared to the other chains.
While Sam’s Club and Costco stand out in terms of their daily visits, BJ’s excels in the time of day that it attracts higher levels of visitors to its locations. BJ’s draws 7% of visits between 8:00-10:00 AM (show below), which is two points higher than Sam’s Club and more than double Costco’s percentage of visits. Not only does BJ’s attract the morning shopper, but also the afterhours customer. BJ’s over indexes in the percentage of visits between 7:00-10:00 PM, with almost 11% of visits occurring during those later hours. BJ’s locations tend to open earlier and stay open later than their Sam’s Club and Costco counterparts, which vary in operational hours for the clubs themselves outside of gas stations. This creates a distinct advantage for BJ’s, especially in areas of direct competition, as visitors looking to shop at off-hours are likely to visit BJ’s.
It’s clear that each club chain has its key day and time to attract visitors that doesn’t overlap too much with its competitors. Warehouse clubs are doing a fantastic job at meeting their consumers where they are and when they prefer to shop. Clubs benefit from increased loyalty due to membership, but it appears that visitors flock to these clubs no matter the day or time. Maybe it’s time to bring breakfast to the Costco & Sam’s Club food courts?
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.
