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Bed Bath & Beyond returned to physical retail in August 2025, when the first store to carry the name since the chain's 2023 liquidation opened in Brentwood, Tennessee. The format signaled how much the strategy had changed. At roughly 15,000 square feet, in a former Kirkland's, the location is a fraction of the 25,000-to-50,000-square-foot stores the brand operated before bankruptcy, reflecting a deliberate move toward smaller, neighborhood-format stores.
The format shift is just one element of a broader restructuring. The name now belongs to Beyond Inc. – since renamed Bed Bath & Beyond Inc. – which is reviving the legacy brand through two distinct acquisitions. The company is acquiring Kirkland's, the home-decor chain, and converting select stores into small-format Bed Bath & Beyond Home locations, and has also agreed to acquire The Container Store and co-brand its stores as "The Container Store / Bed Bath & Beyond."
But in a category that increasingly rewards discounters and sharply differentiated retailers, is there still room for a brand like Bed Bath & Beyond, and in what form?
It is easy to forget how dominant Bed Bath & Beyond once was. In 2019, already past its heyday, it still captured the single largest share of visits to home furnishing retailers in the country, acting as the broad, generalist default for the category.
A lot has changed since. Visits to brick-and-mortar home furnishing retailers fell roughly 27% from 2019 to 2025, and within that smaller pie the leaderboard reshuffled around Bed Bath & Beyond's absence. HomeGoods now sits at the front, reflecting where the category's momentum has gone – toward off-price and sharply differentiated retailers. At the same time, no single full-price, national retailer moved into the position Bed Bath & Beyond vacated, the broad home brand that shoppers across very different incomes and life stages defaulted to.
That open role is the opening a revived Bed Bath & Beyond is built around. The brand is betting that what failed was the format – a massive store carrying an exhaustive, full-price assortment behind a coupon, which is a format that off-price now beats on price and that specialists beat on focus. But the recognition itself, a name a wide range of shoppers still associate with outfitting a home, has remained strong, and the comeback may work if it claims the role without rebuilding the format. That is what the unusual structure is designed to do.
Share of Total Home Furnishing Visits by Chain — the 20 Largest Plus All Others — 2019 vs. 2025
Circle area is proportional to each year's total visits, which fell about 27% from 2019 to 2025. Slices show each chain's share of all home furnishing visits; the 20 largest chains are shown individually and the remainder is grouped as "Other." Bed Bath & Beyond liquidated all its stores in 2023 (its small 2025 relaunch was too recent to register here); Christmas Tree Shops (2023) and Conn's HomePlus (2024) closed all locations and have not returned. Source: Placer.ai.
| Retailer | 2019 visit share | 2025 visit share |
|---|---|---|
| Bed Bath & Beyond | 23.7% | 0.0% |
| HomeGoods | 19.3% | 38.3% |
| IKEA | 11.5% | 11.2% |
| At Home | 7.5% | 10.5% |
| World Market | 5.3% | 7.2% |
| Ashley | 4.4% | 5.1% |
| Kirkland's | 4.0% | 3.0% |
| Christmas Tree Shops | 3.7% | 0.0% |
| The Container Store | 1.8% | 1.6% |
| Rooms To Go Furniture Store | 1.7% | 1.8% |
| Bob's Discount Furniture | 1.4% | 2.7% |
| Pottery Barn | 1.1% | 1.2% |
| Crate and Barrel | 1.0% | 1.4% |
| Old Time Pottery | 1.0% | 0.6% |
| Conn's HomePlus | 1.0% | 0.0% |
| La-Z-Boy | 0.9% | 1.0% |
| Value City Furniture | 0.8% | 0.9% |
| Raymour & Flanigan Furniture Store | 0.7% | 0.9% |
| Homesense | 0.7% | 2.9% |
| Living Spaces | 0.7% | 1.1% |
| RH (Restoration Hardware) | 0.0% | 0.8% |
| Norwalk Furniture | 0.0% | 0.6% |
| Furniture Row | 0.0% | 0.5% |
| Other | 7.8% | 6.8% |
Rather than reopen its own stores, Bed Bath & Beyond is returning through two retailers it is absorbing, both of which have been losing visits year over year. The declines are not one shared problem but two different ones, and the logic of the comeback is that the Bed Bath & Beyond name addresses each.
The Container Store's difficulty is frequency, with a business organized around storage and home organization – a category shoppers turn to only in occasional project bursts, and affluent customers likely have few reasons to come back between closet overhauls and moves. Co-branding the stores as Bed Bath & Beyond is meant to widen that reason to visit, folding in the everyday kitchen, bath, and bedding categories the name is known for, and lifting trip frequency without pushing away the premium shopper the chain already has.
Meanwhile, Kirkland's is a broad home-and-decor generalist without a sharp identity, sitting in the same exposed middle that off-price and specialists have been pulling apart – its stores draw a mainstream suburban shopper but offer little specific reason to choose them. Converting them to Bed Bath & Beyond Home is meant to supply that reason, a more recognized name with broader pull than the Kirkland's banner generated on its own.
Beyond improving the assortment, Bed Bath & Beyond can also boost traffic to converted Kirkland stores and co-branded The Container Stores by bringing in an audience that each chain lacks.
The Container Store draws a narrow, premium audience organized around storage and home organization, while Kirkland's draws a broader, more middle-income suburban shopper for general home goods and decor. Analysing each chain's trade area composition as well as Bed Bath & Beyond's 2019 audience suggests that Bed Bath & Beyond can help each one reach the half of the market it currently misses: In its last pre-COVID year, Bed Bath & Beyond over-indexed both among the premium households The Container Store already draws and among the mainstream suburban families that have long anchored Kirkland's.
And for Bed Bath & Beyond, the arrangement supplies two store networks aimed at different shoppers, one more affluent, one more mainstream, reached through a single name both still recognize.
At the same time, the challenges should not be understated. A recognized name is the beginning of a value proposition rather than a substitute for one, and the proposition the brand carried into bankruptcy, an exhaustive assortment paired with a coupon, is the one that ultimately failed.
But two years after the chain closed, many consumers still think of Bed Bath & Beyond as a destination for home essentials, the kind of store associated with furnishing a first apartment, outfitting a dorm, or building a wedding registry. And familiarity has proven effective at generating first visits, as a range of revived retailers from Abercrombie to Polaroid suggests, but converting those visits into a habit is a separate question. Whether shoppers return will depend less on the name above the door than on what the reformatted stores actually offer.
For more data-driven insights, visit placer.ai/anchor
When Red Lobster filed for bankruptcy in May 2024, much of the blame landed on a single menu item: a $20 Ultimate Endless Shrimp deal that proved far too popular for its own margins. The chain shuttered roughly 130 locations, was acquired by Fortress Investment Group, and brought in a new CEO to steady the brand.
So the decision to bring Endless Shrimp back in spring 2026 – this time as a limited-run promotion – wasn't an obvious one. We dove into the data to see how the relaunch is landing, and what it would take for Red Lobster's comeback to hold.
In the weeks before the Endless Shrimp relaunch, the average number of visits to each Red Lobster location was running below year-ago levels – down by as much as 8.7% year over year (YoY) the week of April 13, and lagging the broader full-service restaurant segment.
Then came April 20. During the first full week of the Ultimate Endless Shrimp promotion, Red Lobster's per-location visits flipped sharply positive and have stayed there since, peaking at 24.3% YoY the week of April 27 and holding double-digit gains into early June – though the magnitude of the boost has gently eased over time. Notably, this outperformance came while full-service restaurant traffic remained roughly flat YoY.
The traffic surge suggests that Red Lobster's brand equity remains strong. Even after bankruptcy, store closures, and years of operational challenges, the chain was able to generate a meaningful visitation lift by bringing back one of its most recognizable promotions.
But Endless Shrimp can only do so much – and the pressures facing the chain, from elevated seafood costs to a burdensome lease portfolio, will remain even after the promotion inevitably ends. As the company continues to rightsize and improve profitability, the key question is whether its investments in menu innovation and customer experience will be enough to garner lasting customer loyalty. Will Endless Shrimp have a better ending this time around?
Visit Placer.ai/anchor to find out.
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Anchored Ep 7: The Data-Driven Customer Era
Zora Sentat has spent her career at the intersection of data, marketing, and commerce. As Chief Commercial Officer at cubeiQ, she's seen how businesses are – and aren't – making the most of what they know about their customers.
In the latest episode of Anchored, Zora joined Ethan Chernofsky to discuss the state of the data landscape, where retail media is falling short, and why human expertise still matters in an increasingly automated world.
Here are 5 key takeaways from the conversation:
Memorial Day weekend is the unofficial start of summer – and this year it arrived amid mounting cost pressures. Gas prices were at their highest Memorial Day level since 2022, while domestic airfare had risen more than 20% year over year – although travelers who booked early were often able to secure better deals.
That makes the holiday weekend a useful bellwether for the summer season ahead. Which corners of the travel economy are thriving, and where are consumers pulling back as budgets tighten? We dove into the data to find out.
Visits to gas stations and convenience stores - a reasonable proxy for how much Americans are driving – fell 7.0% YoY over the four-day Memorial Day weekend, measured from Friday through Monday. The decline pushed visits below their 2021 level for the first time since the pandemic-era baseline.
The drop is even more striking when viewed against the holiday's typical pattern. Over the past four years, Memorial Day weekend has consistently generated roughly 2% to 3% more traffic than a typical weekend, measured against the average of the preceding six Friday-to-Monday periods. This year, that premium disappeared. Instead, visits ran 3.1% below the recent norm, marking the first time in at least four years that the unofficial start of summer drew fewer fuel-and-snack stops than an ordinary weekend.
This suggests that forecasts of record-setting Memorial Day travel may have overstated the strength of road-trip demand as fuel costs surged. But another possible explanation is that Americans still traveled, just not as far – an interpretation supported by the decline in travel distances across most hotel tiers (see below). Surging fuel costs may also have nudged some travelers who had planned to drive toward air travel instead.
Nationwide Gas Station Visits, Memorial Day Weekend 2026 (Fri–Mon)
Memorial Day weekend failed to lift gas-station traffic, with visits falling below even 2021’s pandemic-era levels.
And indeed, airport visits by domestic travelers in the lead up to the holiday were comparatively resilient, slipping just 0.5% YoY on the Thursday and Friday before Memorial Day.
Compared to airports' prior six-week baseline, demand heading into the holiday weekend actually increased. Airport visits during the Thursday-Friday travel rush ran 9.7% above the average of the previous six weeks, up from 8.2% in 2025 and 7.1% in 2024. That resilience was likely driven, at least in part, by travelers who secured lower fares by booking well in advance. And because air travelers tend to skew more affluent than road trippers, those who did book later may have been more willing to absorb higher travel costs despite the sticker shock.
Major Airport Visits During Lead-Up to Memorial Day Weekend (Thu–Fri)
Although airport traffic remained flat YoY, the pre-holiday surge was more pronounced against a backdrop of softer recent demand, with visits running 9.7% above the prior six Thursday–Friday average.
Hotels, meanwhile, saw declines in domestic traveler visitation across all tiers as some travelers likely looked for ways to reduce lodging costs, whether by staying with friends and family, choosing lower-cost accommodations, or taking shorter trips.
But the pullback was far from uniform. Economy hotels took the hardest hit, with visits down 7.2% YoY – the steepest decline of any segment. Midscale, upper-midscale, and upscale properties landed in the middle, posting declines between 4.3% and 5.0%. At the top end of the market, the softness was more limited: Upper-upscale hotels slipped just 2.2%, while luxury hotels declined 2.7%.
The same K-shaped pattern showed up in how far guests were willing to travel. The share of hotel visitors coming from more than 100 miles away declined across nearly every tier – most sharply at the lower end of the market. Only luxury hotels saw their share of long-distance guests actually increase by 1.2 percentage points – showing that affluent domestic travelers were still traveling the distance.
Memorial Day Weekend (Fri–Mon): May 22–25 ’26 vs. May 23–26 ’25, U.S.
Hotel Visits, Year-over-Year Change
Visits slipped across every hotel class, but the high end held up best – and luxury was the only segment to draw a larger share of guests from 100+ miles away.
Percentage Point Change* in Share of Visitors From 100+ Miles Away, 2026 vs. 2025
*A percentage-point change is the difference between the two years’ shares – e.g., Luxury rising from 51.3% to 52.5% is a 1.2-point gain.
The unofficial start of summer revealed a widening split in how Americans allocate their travel spending. Driving-related stops and budget hotels bore the brunt of the pullback, while air travel and higher-end lodging continued to hold steady.
Whether this divide narrows or widens will depend largely on the path of gas prices and consumer confidence. As fuel costs ease, will budget-conscious travelers return to the road in greater numbers? Will air travel rebound, and will hotel visitation follow?
For more data-driven consumer and travel insights, visit Placer.ai/anchor.
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In recent years, Best Buy has faced significant challenges – from intensifying e-commerce competition to a slower housing market weighing on major categories like appliances.
But the retailer hasn't been resting on its laurels, rolling out a range of initiatives aimed at unlocking value from its physical and digital assets, including an expanded online Marketplace to enhanced retail media offerings and a strategic partnership with IKEA.
So how are these efforts playing out on the ground? We dove into the data to explore the rationale behind these initiatives and see what foot traffic data can tell us about their impact and future potential.
One of the more visible ways Best Buy is making new use of its physical footprint is through its shop-in-shop partnership with IKEA, which launched in fall 2025 across 10 stores in Florida and Texas.
The concept, designed to give customers an integrated way to upgrade their homes, pairs IKEA furnishings with Best Buy's kitchen and laundry offerings. By helping shoppers visualize complete home projects, the shop-in-shop creates natural cross-selling opportunities across complementary categories while providing an additional reason to visit segments that have faced persistent headwinds.
And foot traffic data suggests that the bet may be paying off. Through the first four months of 2026, Best Buy stores with IKEA shop-in-shops outperformed the national Best Buy fleet – as well as the chain's Texas and Florida benchmarks – every single month. And with Best Buy now opening consultation spaces inside IKEA stores in Frisco, Texas, and Tampa, Florida, the partnership between the two brands appears poised to deepen further.
Best Buy is also unlocking additional value from its store fleet through an expanded physical retail media network. Beyond traditional in-store advertising placements, the company monetizes its growing volume of pickup visits through Curbside Cinema displays, giving brands access to shoppers during a brief but highly attentive moment when there are few competing distractions for their attention.
And the visit data shows just how significant that opportunity is. In Q1 2026, more than 20% of Best Buy visits lasted under ten minutes – well above the 14.2% logged across discretionary chains. By serving short, brand-safe content during those windows, Best Buy is turning idle waiting time into measurable ad impressions, monetizing a moment most retailers let slip by unused.
Best Buy is also experimenting with increasingly sophisticated in-store advertising activations. The retailer recently partnered with a sports streaming platform on an immersive store takeover, using exterior signage, digital displays, and branded experiences to engage shoppers at multiple touchpoints. The campaign built on a broader recognition that Best Buy's customer base skews heavily toward sports enthusiasts - with the retailer reporting that its shoppers are 26% more likely than average to be sports fans. And this affinity has helped drive partnerships with organizations such as the NFL while creating new opportunities for Best Buy Ads.
Placer data from four of Best Buy's most-visited locations in Q1 2026 shows that while sports fandom is a consistent thread across markets, the specific interests vary considerably. Brooklyn's Bay Parkway location, for example, draws especially high concentrations of NHL and baseball fans, while Holyoke, Massachusetts skews more heavily toward NFL enthusiasts. Each market has its own distinct mix. And in a retail media landscape where targeting precision is the primary selling point, these market-level differences are another opportunity Best Buy is well positioned to capture.
As Best Buy seeks to become more than just a retailer, its stores are increasingly serving multiple functions at once – driving merchandise sales, supporting advertising initiatives, and helping brands connect with consumers. Given the early signs of traction behind these strategies, it may come as little surprise that incoming CEO Jason Bonfig plans to build on them as he pushes Best Buy further toward becoming "a retailer, media, advertising, and technology company."
For more data-driven retail insights, follow Placer.ai/anchor
The U.S. matches of the FIFA World Cup kicked off at Los Angeles Stadium (aka SoFi Stadium) in Inglewood, CA, on June 12, 2026 with the highly-anticipated USA vs. Paraguay matchup and a star-studded opening ceremony.
Across the Los Angeles area, watch parties and fan activations drew supporters eager to take part in the matchday atmosphere. Among them was the City of Inglewood's “The Wood Cup”, a street festival just a short walk from the stadium itself, which Inglewood Mayor James Butts called “a free alternative to attending the very expensive World Cup soccer match in person”.
With just a few city blocks separating the two events, we examined how their audiences of U.S-based fans differed and how this multi-layered engagement translated into broader economic benefits for the surrounding community.
Audience segmentation reveals that visitors to The World Cup U.S. opener skewed more affluent than visitors to The Wood Cup festival – a finding that aligns with the premium cost of attending a globally significant sporting event. According to Spatial.ai’s PersonaLive dataset, Ultra Wealthy Families represented the largest audience segment at the stadium, accounting for nearly 30% of visitors – a share on par with recent Super Bowls. As the tournament progresses to later-stage matches with even greater demand, this trend could become even more pronounced.
Meanwhile, The Wood Cup street festival attracted a more diverse and less wealthy visitor base. Near-Urban Diverse Families made up the largest share of attendees by a wide margin, while City Hopefuls – lower-income urban households – also accounted for a significant portion of festival visitors.
Diving deeper into visitor travel patterns provides further insight into the stadium versus street festival audiences. Location intelligence shows that many stadium visitors came from throughout Southern California and beyond, while the street festival appears to have functioned as a primarily local gathering. The stadium saw a significantly larger share of visitors traveling more than 10 miles, with more than a third traveling over 250 miles, underscoring the event's broader regional draw and national appeal. On the other hand, nearly 70% of street festival attendees traveled less than 10 miles, highlighting the neighborhood orientation of the event.
This contrast reinforces the role of fan activations alongside major sporting events. While the stadium attracted affluent visitors who traveled significant distances, the street festival engaged a highly local audience unlikely to attend the match itself – playing an important role in broadening participation and capitalizing on World Cup excitement across the host city.
One of the clearest ways that broad participation in a major sporting event benefits host communities is by driving traffic to nearby businesses from travelers and locals alike.
On the day of the 2026 World Cup U.S. opener, several restaurants near Los Angeles Stadium and The Wood Cup festival experienced visit boosts far exceeding typical levels. The Pollo Campero location on W. Century Boulevard experienced the largest foot traffic increase among the restaurants analyzed, with visits spiking 264.0% compared to the average Friday – a surge that may have been aided by the chain's World Cup-themed "Pollito Campeón" campaign. Other nearby establishments also posted significant gains, including Sizzler (+185.9%), Carl's Jr. (+128.9%), and El Pollo Loco (+105.3%).
These foot traffic gains illustrate the ripple effects of major sporting events and adjacent fan activations beyond the stadium and festival grounds.
The World Cup’s opening match in the U.S. transformed Los Angeles into a hub of activity both inside and outside the stadium, creating pathways for fans of all types to participate in the event and driving significant traffic to nearby businesses. With additional fan zones planned across multiple host cities – and demand rising as the stakes increase – The World Cup’s impact could continue to grow.
For more data-driven event insights, visit Placer.ai/anchor.
1. Expanded grocery supply is increasing overall category engagement. New locations and deeper food assortments across formats are bringing shoppers into the category more often, rather than fragmenting demand.
2. Grocery visit growth is being driven by low- and middle-income households. Elevated food costs are leading to more frequent, budget-conscious trips, reinforcing grocery’s role as a non-discretionary category.
3. Short, frequent trips are a major driver of brick-and-mortar traffic growth. Fill-in shopping, deal-seeking, and omnichannel behaviors are pushing visit frequency higher, even as trip duration declines.
4. Scale is accelerating consolidation among large grocery chains. Larger retailers are using their size to invest in value, assortment, private label, and execution, allowing them to capture longer and more engaged shopping trips.
5. Both large and small grocers have viable paths to growth. Large chains are winning by competing for the full grocery list, while smaller banners can grow by specializing, owning specific missions, or offering compelling value that earns them a place in shoppers’ routines.
While much of the retail conversation going into 2026 focused on discretionary spending pressure, digital substitution, and higher-income consumers as the primary drivers of growth, grocery foot traffic tells a different story.
Rather than being diluted by new formats or eroded by e-commerce, brick-and-mortar grocery engagement is expanding. Visits are rising even as grocery supply spreads across wholesale clubs, discount and dollar stores, and mass merchants. At the same time, growth is being powered not by affluent trade areas, but by low- and middle-income households navigating higher food costs through more frequent, targeted trips. Shoppers are showing up more often and increasingly splitting their trips across retailers based on value, availability, and mission – pushing grocers to compete for portions of the grocery list instead of the full weekly basket.
The data also suggests that the largest grocery chains are capturing a disproportionate share of rising grocery demand – but the multi-trip nature of grocery shopping in 2026 means that smaller banners can still drive traffic growth. By strengthening their value proposition, specializing in specific products, or owning specific shopping missions, these smaller chains can complement, rather than compete with, larger one-stop destinations.
Ultimately, AI-based location analytics point to a clear set of grocery growth drivers in 2026: expanded supply that increases overall engagement, more frequent and mission-driven trips, and continued traffic concentration among large chains alongside new opportunities for smaller banners.
One driver of grocery growth in recent years is simply the expansion of grocery supply across multiple retail formats. Wholesale clubs are constantly opening new locations and discount and dollar stores are investing more heavily in their food selection, giving consumers a wider choice of where to shop for groceries. And rather than fragmenting demand, this broader availability appears to have increased overall grocery engagement – benefiting both dedicated grocery stores and grocery-adjacent channels.
Grocery stores continue to capture nearly half of all visits across grocery stores, wholesale clubs, discount and dollar stores, and mass merchants. That share has remained remarkably stable thanks to consistent year-over-year traffic growth – so even as grocery supply increases across categories, dedicated grocery stores remain the primary destination for food shopping.
Meanwhile, mass merchants have seen a decline in relative visit share as expanding grocery assortments at discount and dollar stores and the growing store fleets of wholesale clubs give consumers more alternatives for one-stop shopping.
While much of the broader retail conversation heading into 2026 centers on higher-income consumers carrying growth, the trend looks different in the grocery space. Recent visit trends show that grocery growth has increasingly shifted toward lower- and middle-income trade areas, underscoring the distinct dynamics of non-discretionary retail.
For lower- and middle-income shoppers, elevated food costs appear to be translating into more frequent grocery trips as consumers manage budgets through smaller baskets, deal-seeking, and shopping across retailers. In contrast, higher-income households – often cited as a key growth engine for discretionary retail – are contributing less to grocery visit growth, likely reflecting more stable shopping patterns or a greater ability to consolidate trips or shift spend online.
This means that, in 2026, grocery growth is not being propped up by high-income consumers. Instead, it is being fueled by necessity-driven shopping behavior in lower- and middle-income communities – reinforcing grocery’s role as an essential category and suggesting that similar dynamics may be at play across other non-discretionary retail segments.
Another factor driving grocery growth is the rise in short grocery visits in recent years. Between 2022 and 2025, the biggest year-over-year visit gains in the grocery space went to visits under 30 minutes, with sub-15 minute visits seeing particularly big boosts. As of 2025, visits under 15 minutes made up over 40% of grocery visits nationwide – up from 37.9% of visits in 2022.
This shift toward shorter visits – especially those under 15 minutes – is driven in part by the continued expansion of omnichannel grocery shopping, as many consumers complete larger stock-up orders online and rely on in-store trips for order collection or quick, fill-in needs. At the same time, the rise in short visits paired with consistent YoY growth in grocery traffic points to additional, behavior-driven forces at play – consumers' growing willingness to shop around at different grocery stores in search of the best deal or just-right product.
Value-conscious shoppers – particularly consumers from low- and middle-income households, which have driven much of recent grocery growth – seem to be increasingly shopping across multiple retailers to secure the best prices. This behavior often involves making targeted trips to different stores in search of the strongest deals, a pattern that is contributing to the rise in shorter, more frequent grocery visits. At the same time, other grocery shoppers are making quick trips to pick up a single ingredient or specialty item – perhaps reflecting the increasingly sophisticated home cooks and social media-driven ingredient crazes. In both these cases, speed is secondary to getting the best value or the right product.
So while some shorter visits reflect a growing emphasis on efficiency – as shoppers use in-store trips to complement primarily online grocery shopping – others appear driven by a preference for value or product selection over speed. Despite their differences, all of these behaviors have one thing in common – they're all contributing to continued growth in brick-and-mortar grocery visits. Grocers who invest in providing efficient in-store experiences are particularly well-positioned to benefit from these trends.
As early as 2022, the top 15 most-visited grocery chains already accounted for roughly half of all grocery visits nationwide. And by outpacing the industry average in terms of visit growth, these chains have continued to capture a growing share of grocery foot traffic.
This widening gap suggests that scale is increasingly enabling grocers to reinvest in the factors that attract and retain shoppers. Larger chains are better positioned to invest in broader and more differentiated product selection, stronger private-label programs that deliver quality at accessible price points, competitive pricing, and operational excellence across stores and omnichannel touchpoints. These capabilities allow top chains to serve a wide range of shopping missions – from quick, convenience-driven trips to more intentional visits in search of the right product or ingredient.
Consolidation at the top of the grocery category is reinforcing a virtuous cycle: scale enables better value, selection, and experience, which in turn draws more shoppers into stores and supports continued grocery traffic growth.
In 2025, the top 15 most-visited grocery chains accounted for a disproportionate share of visits lasting 15 minutes or more, while smaller grocers captured a larger share of the shortest trips. As shown above, larger grocery chains, which tend to attract longer visits, grew faster than the industry overall – but short visits, which skew more heavily toward smaller chains, accounted for a greater share of total traffic growth. Together, these patterns show that both long, destination trips and short, targeted visits are driving grocery traffic growth and creating viable paths forward for retailers of all sizes.
Larger chains are more likely to serve as destinations for fuller shopping missions, competing for the entire grocery list – or a significant share of it. But smaller banners can grow too by competing for more short visits. By specializing in a specific product category, owning a clearly defined shopping mission, or delivering a compelling value proposition, smaller grocers can earn a place in shoppers’ routines and become a deliberate stop within a broader grocery journey.
As grocery moves deeper into 2026, growth is being driven by the cumulative effect of how consumers are navigating food shopping today. Expanded supply has increased overall engagement, higher food costs are driving more frequent and targeted trips, and shoppers are increasingly willing to split their grocery list across retailers based on value, availability, and mission.
Looking ahead, this suggests that grocery growth will remain resilient, but unevenly distributed. Retailers that clearly understand which trips they are best positioned to win – and invest accordingly – will be best placed to capture that growth. Large chains are likely to continue benefiting from scale, consolidation, and their ability to serve full shopping missions, while smaller banners can grow by earning a defined role within shoppers’ broader grocery journeys. In 2026, success in grocery will be less about winning every trip and more about consistently winning the right ones.
To optimize office utilization and surrounding activity in 2026, stakeholders should:
1. Plan for continued, but slower, office recovery. Attendance continues to rise and has reached a post-pandemic high, but moderating growth suggests the return-to-office may progress at a more gradual and incremental pace than in prior years.
2. Account for growing seasonality in office staffing, local retail operations, and municipal services. As office visitation becomes increasingly concentrated in late spring and summer, offices, downtown retailers, and cities may need to plan for more predictable peaks and troughs by adjusting hours, staffing levels, and local services accordingly, rather than relying on annual averages.
3. Align leasing strategies with seasonal demand. Stronger attendance in Q2 and Q3 suggests these quarters are best suited for leasing activity, while softer Q1 and Q4 periods may be better used for renovations, repositioning, and targeted activation efforts designed to draw workers in.
4. Design hybrid policies around midweek anchor days. With Tuesdays and Wednesdays consistently driving the highest office attendance, employers can maximize collaboration and space utilization by concentrating meetings, programming, and in-office expectations midweek.
5. Reduce early-week commute friction to support attendance. Monday office attendance appears closely correlated with commute ease, suggesting that reliable and efficient transportation may be an important factor in early-week office recovery.
6. Prioritize proximity in leasing and development decisions. Visits from employees traveling less than five miles to work have increased steadily since 2019, reinforcing the value of centrally located offices and housing near employment hubs.
2025 was the year of the return-to-office (RTO) mandate. Employers across industries – from Amazon to JPMorgan Chase – instituted full-time on-site requirements and sought to rein in remote work. But the year also underscored the limits of policy. As employee pushback and enforcement challenges mounted, many organizations turned to quieter tactics such as “hybrid creep” to gradually expand in-office expectations without triggering outright resistance.
For employers seeking to boost attendance, as well as office owners, retailers, and cities looking to maximize today’s visitation patterns, understanding what actually drives employee behavior has become more critical than ever. This reports dives into the data to examine office visitation patterns in 2025 – and explore how structural factors such as weather, commute convenience, and workplace proximity have emerged as key differentiators shaping how and when, and how often workers come into the office.
National office visits rose 5.6% year over year in 2025, bringing attendance to just 31.7% below pre-pandemic levels and marking the highest point since COVID disrupted workplace routines. At the same time, the pace of growth slowed compared to 2024, signaling a possible transition into a steadier phase of recovery.
With new return-to-office mandates expected in 2026, and the balance of power quietly shifting towards employers, additional gains remain likely. But the trajectory suggested by the data points toward gradual progress rather than a return to the more rapid rebounds seen in 2023 or 2024.
Before COVID, “I couldn’t come in, it was raining” would have sounded like a flimsy excuse to most bosses. But today, weather, travel, and individual scheduling are widely accepted reasons to stay home, reflecting a broader assumption that face time should flex around convenience.
This shift is visible in the growing seasonality of office visitation, which has intensified even as overall attendance continues to rise. In 2019, office life followed a relatively steady year-round cadence, with only modest quarterly variation after adjusting for the number of working days. In recent years, however, greater seasonality has emerged. Since 2024, Q1 and Q4 have consistently underperformed while Q2 and Q3 have posted meaningfully stronger attendance – a pattern that became even more pronounced in 2025. Winter weather disruptions, extended holiday travel, and the growing normalization of “workations” appear to be pulling some visits out of the colder, holiday-heavy months and concentrating them into late spring and summer.
For employers, office owners, downtown retailers, and city planners, this emerging seasonality matters. Staffing, operating budgets, and programming decisions increasingly need to account for predictable soft quarters and peak periods, making quarterly planning a more useful lens than annual averages. Leasing activity may also convert best in Q2 and Q3, when districts feel most active. Slower quarters, meanwhile, may be better suited for renovations, construction, or employer- and city-led programming designed to give workers a reason to show up.
The growing premium placed on convenience is also evident in the persistence of the TGIF workweek – and in the factors shaping its regional variability.
Before COVID, Mondays were typically the busiest day of the week, followed by relatively steady attendance through Thursday and a modest drop-off on Fridays. Today, Tuesdays and Wednesdays have firmly established themselves as the primary anchor days, while Mondays and Fridays see consistently lower activity. And notably, this pattern has remained essentially stable over the past three years – despite minor fluctuations – as workers continue to cluster their in-office time around the days that offer the most perceived value while preserving flexibility at the edges of the week.
At the same time, while the hybrid workweek remains firmly entrenched nationwide, its contours vary significantly across regions – and the data suggests that convenience is once again a key differentiator.
Across major markets, a clear pattern emerges: Cities with higher reliance on public transportation tend to see weaker Monday office attendance, while markets where more workers drive alone show stronger early-week presence. While industry mix and local office culture still matter, the data points to commute hassle as another factor potentially shaping Monday attendance.
New York City, excluded from the chart below as a clear outlier, stands as the exception that proves the rule. Despite nearly half of local employees relying on public transportation (48.7% according to the Census 2024 (ACS)), the city’s extensive and deeply embedded transit system appears to reduce perceived friction. In 2025, Mondays accounted for 18.4% of weekly office visits in the city, even with heavy transit usage.
The contrast highlights an important nuance: Where transit is fast, frequent, and integrated into daily routines, it can support office recovery, offering a potential roadmap for other dense urban markets seeking to rebuild early-week momentum.
Another powerful signal of today’s convenience-first mindset shows up in commute distances. Since 2019, the share of office visits generated by employees traveling less than five miles has steadily increased, largely at the expense of mid-distance commuters traveling 10 to 25 miles.
To be sure, this metric reflects total visits rather than unique visitors, so the shift may be driven by increased visit frequency among workers with shorter, simpler commutes rather than a change in where employees live overall. Still, the pattern is telling: Workers with shorter commutes appear more likely to generate repeat in-person visits, while longer and more complex commutes correspond with fewer trips. Over time, this dynamic could shape office leasing decisions, residential demand near employment centers – whether in urban cores or in nearby suburbs – and the geography of the workforce.
Taken together, the data paints a clear picture of the modern return-to-office landscape. Attendance is rising, but behavior is no longer driven by mandates alone. Instead, workers are making rational, convenience-based decisions about when coming in is worth the effort.
For cities, the implication is straightforward: Ease of access matters. Investments in transit reliability, last-mile connectivity, and housing near employment centers can all play a meaningful role in shaping how consistently people show up. For employers, too, the lesson is that the path back to the office runs through convenience, not just compulsion, as attendance gains are increasingly driven by how effectively organizations reduce friction and increase the perceived value of being on-site.
1. AI is raising the bar for physical retail as shoppers arrive more informed, more intentional, and less tolerant of friction – though the impact varies by category and format.
2. As discovery shifts upstream, stores increasingly serve as confirmation rather than discovery points where shoppers validate decisions through hands-on experience and expert guidance.
3. AI-based tools can improve in-store performance by removing operational friction – shortening trips in efficiency-led formats and supporting deeper engagement in experience-led ones.
4. By embedding expertise directly into frontline workflows, AI helps retailers deliver consistent, high-quality service despite high turnover and limited training windows.
5. AI enables precise, location-specific marketing and execution, allowing retailers of any size to align assortments, staffing, and messaging with real local demand.
6. Retailers can also use AI to manage their store fleets with greater discipline and understand where to expand, where to avoid cannibalization, and where to rightsize based on observed demand rather than static assumptions.
7. AI is not a universal lever in physical retail; its value depends on the store format, and in discovery-driven models it should support operations behind the scenes rather than reshape the customer experience.
Physical retail has faced repeated claims of obsolescence, from the rise of e-commerce to the shock of COVID. Each time, analysts predicted a structural decline in brick-and-mortar. And each time, physical retail adapted.
AI has triggered a similar round of predictions. Much of the current discussion frames retail’s future as a binary outcome: either stores become heavily automated, or e-commerce becomes so optimized that physical locations lose relevance altogether.
But past disruptions point in a different direction. E-commerce changed how physical retail operated by raising expectations for omnichannel integration, speed, and clarity of purpose. Retailers that adjusted store formats, merchandising, and operations accordingly went on to drive sustained growth.
AI likely represents another inflection point for physical retail. As shoppers arrive with more information, clearer intent, and even less tolerance for friction than in the age of "old-fashioned" e-commerce, physical stores will remain – but the standards they are held to continue to rise.
This report presents four ways retailers are using AI to get – and stay – ahead as physical retail adapts to this next wave of disruption.
E-commerce moved discovery earlier in the shopping journey. Instead of beginning the process in-store, many shoppers now arrive at brick-and-mortar locations after having deeply researched products, comparing options, and narrowing choices online – entering the store to validate rather than initiate their purchasing decision.
AI-powered shopping accelerates this pattern. Conversational assistants, recommendation engines, and AI-driven discovery across search and social reduce the time and effort required to evaluate options – and this shift is changing consumers' expectations around the in-store experience.
Apple shows what it looks like when a physical store is built for well-informed shoppers. Given the prevalence of AI-powered search and assistants in high-consideration categories like consumer electronics, Apple customers likely arrive at the Apple Store with more preferences already shaped by AI-assisted research than other retail categories.
Apple Stores were designed for this kind of customer long before AI became widespread. The layout puts working products directly in customers’ hands, merchandising emphasizes live use over promotional signage, and associates are trained to answer detailed technical questions rather than walk shoppers through basic options.
That alignment is showing up in store behavior. Even as AI-powered shopping expands, Apple Stores continue to see rising foot traffic and longer visits thanks to the store's specific and curated role in the customer journey – a place where customers confirm decisions through hands-on experience and expert guidance.
Some applications of AI extend trends that e-commerce has already introduced. Others address operational challenges that previously required manual coordination or tradeoffs.
AI can reduce friction and make store visits more predictable by improving staffing allocation, reducing checkout delays, optimizing inventory placement, and managing traffic flow. These changes reduce friction without altering the visible customer experience.
Sam's Club offers a clear, recent example of AI solving a specific in-store bottleneck. For years, customers completed checkout only to face a second line at the exit, where an employee manually scanned paper receipts and spot-checked carts.
In early 2024, Sam’s Club introduced computer vision-powered exit gates, allowing customers to exit the store without stopping as AI algorithms instantly captured images of the items in their carts and matched them against digital purchase data. Employees previously tasked with receipt checks could now shift their focus to member assistance and in-store support.
The impact was measurable. Sam’s Club reported that customers now exit stores 23% faster than under manual receipt checks, a result confirmed by a sustained nationwide decline in average dwell time. During the same period, in-store traffic increased 3.3% year-over-year – demonstrating how removing friction with AI can deliver tangible gains.
AI optimizes stores for different outcomes. At Sam’s Club, it shortens visits by removing friction from task-driven trips. At Apple, upstream research leads to longer visits focused on testing, questions, and decision validation. In both cases, AI aligns store execution with shopper intent – prioritizing speed and throughput in efficiency-led formats and deeper engagement in experience-led ones.
Beyond shaping store roles and streamlining operations, AI can also address a long-standing challenge in physical retail: delivering consistent, high-quality expertise on the sales floor despite high turnover and seasonal staffing. In the past, retailers relied on heavy training investments that often failed to pay off. AI can now embed that expertise directly into frontline workflows, allowing associates to deliver confident, informed service regardless of tenure and strengthening the in-store experience at scale.
In May 2025, Lowe’s rolled out a major in-store AI enhancement called Mylow Companion, an AI-powered assistant that equips frontline staff with real-time, expert support on product details, home improvement projects, inventory, and customer questions.
Mylow Companion is embedded directly into associates’ handheld devices, delivering instant guidance through natural, conversational interactions, including voice-to-text. This enables even newly hired employees to provide confident, expert-level advice from day one, while helping experienced associates upsell and cross-sell more effectively. The tool complements Mylow, a customer-facing AI advisor launched the same year to help shoppers plan projects and discover the right products, leading to increased customer satisfaction.
While AI alone cannot solve demand challenges—especially amid macroeconomic pressure on large-ticket discretionary spending—early signals suggest it may still play a meaningful role. Location analytics indicate narrowing year-over-year visit gaps at Lowe’s post-deployment, pointing to a potentially improved in-store experience. And Home Depot’s recent announcement of agentic AI tools developed with Google Cloud suggests that these technologies are becoming table stakes in this category.
As more retailers roll out similar capabilities, those that moved earlier are better positioned to help set the bar – and benefit as the market adapts.
Beyond improving the in-store experience, AI also gives retailers a powerful way to drive foot traffic through precision marketing. By processing large volumes of behavioral, location, and timing data, AI can help retailers decide who to reach, when to engage them, where to activate, and what message or assortment will resonate – shifting marketing from broad seasonal pushes to campaigns grounded in local demand.
Target offers an early example of this approach before AI became widespread. Stores near college campuses have long tailored assortments and messaging around the academic calendar, especially during the back-to-school season. In August, these locations emphasize dorm essentials, compact storage, bedding, tech accessories, and affordable décor – supported by campaigns aimed at students and parents preparing for move-in. That localized approach has been effective in driving in-store traffic to Target stores near college campuses, with these venues seeing consistent visit spikes every August and outperforming the national average across multiple back-to-school seasons from 2023 to 2025.
AI makes local execution repeatable at scale. By analyzing visit patterns, past performance, and timing signals across thousands of locations, retailers can decide which products to promote, how to staff stores, and when to run campaigns at each location. Marketing, merchandising, and store operations then act on the same demand signals instead of separate assumptions.
Crucially, AI makes this level of localization accessible to retailers of all sizes. What once required the resources and institutional knowledge of a big-box giant can now be achieved through precision marketing and demand forecasting tools, allowing brands to adapt each store’s messaging, assortment, and execution to the unique rhythms of its community.
Beyond improving performance at individual stores, AI can also give retailers a clearer view of how their entire store fleet is working – and where it should grow, contract, or change. By analyzing foot traffic patterns, trade areas, customer overlap, and visit frequency across locations, AI helps retailers identify which sites are truly reaching their target audiences and which are underperforming relative to local demand.
AI also plays a critical role in smarter expansion. Retailers can use it to identify markets and neighborhoods where demand is growing, customer overlap is low, and incremental visits are likely – reducing the risk of cannibalization when opening new stores. By modeling how shoppers move between existing locations, AI can flag when a proposed site will attract new customers versus simply shifting traffic from nearby stores, grounding expansion decisions in observed behavior rather than demographic proxies or intuition alone.
Equally important, AI helps retailers recognize when expansion no longer makes sense. By tracking total fleet traffic, visit growth, and trade-area saturation, retailers can assess whether new stores are adding net demand or diluting performance. The same signals can identify locations where demand has structurally declined, informing rightsizing decisions and store closures. In this way, AI supports a more disciplined approach to physical retail – one that treats the store fleet as a dynamic system to be optimized over time, rather than a footprint that only grows.
The impact of AI on physical retail will vary significantly by category and format. Not every successful store experience is built around efficiency, prediction, or pre-qualification. Retailers with clearly differentiated offline value don’t necessarily benefit from forcing AI into customer-facing experiences that dilute what makes their stores work.
“Treasure hunt” formats are a clear example. Off-price retailers like TJ Maxx, Marshalls, Ross, and Burlington continue to drive strong traffic by offering unpredictability, scarcity, and discovery that cannot be replicated – or meaningfully enhanced – through AI-driven search or recommendation. The appeal lies precisely in not knowing what you’ll find. For these retailers, heavy investment in AI-led personalization or pre-shopping guidance risks undermining the core experience rather than improving it.
Similar dynamics apply in other categories. Independent boutiques, vintage stores, resale shops, and certain specialty retailers succeed by offering curation, serendipity, and human taste rather than optimization. In these cases, AI may still play a role behind the scenes – supporting inventory planning, pricing, or site selection – but it should not reshape the customer-facing experience. AI is most valuable when it reinforces a retailer’s existing value proposition. Formats built around discovery, surprise, or experiential browsing should protect those strengths, even as other parts of the retail landscape move toward greater efficiency and intent-driven shopping.
AI is forcing physical retail to evolve with intention. By creating a supportive environment for customers who arrive with made-up minds, removing friction inside the store, offering the best in-store services, and orchestrating demand with greater precision, retailers are adapting to the new world standards set by AI. All five strategies focus on aligning stores with shopper intent – what customers want, how the store supports it, and when the interaction happens.
The retailers that win in this next era won’t be the ones that use AI to simply automate what already exists. They’ll be the ones that use it to sharpen the role of physical retail – turning stores into places that help shoppers validate decisions, deliver value beyond convenience, and show up at exactly the right moment in a customer’s journey.
In the age of AI, physical retail wins by becoming more intentional – designed around informed shoppers, optimized for the right outcome in each format, and activated at moments when demand is real.
