Insights

Insight · RETAIL

Commerce, Payments, and Logistics Are Fusing Into One

Consumers now move fluidly across app, in-store, and pickup channels—not just in retail but in grocery, travel, healthcare, fintech, and education—while e-commerce, digital payments, and logistics reinforce each other's growth. BOPIS alone hit $154.3 billion in 2025, growing 16.2% and accelerating, signaling this is a structural shift rather than a temporary trend.

Emerging evidence91 external sourcesPublished August 2, 2026Retail

The insight

Consumers are collapsing the boundaries between browsing, paying, and receiving goods or services, moving fluidly across app, in-store, and pickup channels not only in retail but in grocery, travel, healthcare, fintech, and education. The underlying infrastructure — e-commerce, digital payments, and logistics — is reinforcing this behaviour rather than merely enabling it.

Why it matters

If commerce, payments, and logistics are converging into a single consumer experience rather than three separate value chains, the competitive battleground shifts from channel ownership to orchestration across channels. Businesses that still treat online, in-store, and fulfilment as separate P&Ls risk losing share to competitors who have unified them operationally.

What this changes

The old model
Consumers historically treated purchase, payment, and fulfilment channels as largely separate and sequential: browse or shop in one venue (a store or a single app), pay through that venue's native method, and receive goods via one predetermined path such as home delivery or in-person collection. Sector infrastructures — retail e-commerce, payments, logistics, and analogous systems in travel, healthcare, fintech, and education — largely evolved and scaled independently of one another.
The emerging model
The related sentences describe consumers now blending channels within a single transaction journey: buying groceries via app, in-store, and pickup interchangeably; booking travel across provider apps, loyalty programs, and alternative platforms simultaneously; and analogous blending in healthcare (telemedicine to clinic), fintech (banking to investment to insurance), and education (online courses to institutional credentials). The behaviour is channel-fluidity within a single consumer intent, rather than sequential single-channel completion.
Who is exposed
Retail and grocery chains, travel and hospitality platforms, healthcare systems building telemedicine-to-clinic pathways, fintech firms spanning banking to insurance, and education providers linking online learning to credentials are all named as touchpoints of this shift, suggesting it is not sector-specific but infrastructural.
What is driving it
Plausible drivers, reasoned from the material rather than asserted as fact, include: the technological maturation of unified inventory and payment APIs that make hybrid fulfilment operationally feasible; consumer time-pressure and convenience preference that favors flexible pickup and multi-platform booking over rigid single-channel paths; and possibly cross-sector imitation, where retail's omnichannel playbook is being adapted by healthcare, fintech, and education as those sectors digitize. The named $154.3 billion BOPIS figure suggests economic incentives for retailers to build the infrastructure that enables this fluidity, which may be spilling over into adjacent categories.

Strategic consequences

  1. For chief executives

    If channel convergence is real and durable, organisational structures that separate e-commerce, store operations, and logistics into distinct reporting lines are likely to become a competitive liability; leadership should treat this as a prompt to review whether internal incentives still reward channel silos rather than unified customer journeys.

  2. For founders

    Startups building single-channel solutions in retail, travel, health-tech, fintech, or ed-tech should consider whether their roadmap accounts for the possibility that customers will expect to move fluidly between digital and physical touchpoints within the same transaction, since the BOPIS growth figure suggests real capital is already flowing toward hybrid models.

  3. For investors

    The scale figure attached to BOPIS ($154.3 billion, 16.2% growth) is the most concrete data point in this insight and merits independent verification before being used in valuation or thesis work; the broader five-sector claim is directionally interesting but currently rests on a moderate confidence score and should be weighted accordingly in portfolio theses.

If this continues

Should the pattern hold, expect deeper integration of payment rails, inventory visibility, and last-mile logistics across these sectors over the next one to two years, with BOPIS-style hybrid fulfilment likely spreading as a template beyond retail. This remains an early-stage insight with moderate confidence, and its trajectory should be treated as plausible rather than settled.

What Quettor is investigating next

  • Which named companies or platforms, if any, are driving the BOPIS growth figure cited for 2025, and can that $154.3 billion/16.2% figure be independently traced to a primary source?
  • Is the cross-channel fluidity pattern described in healthcare, fintech, and education actually comparable in scale and maturity to what is observed in retail and grocery, or is it a much earlier-stage phenomenon being grouped in prematurely?
  • How does this behaviour differ across demographic or geographic segments — for example, are BOPIS and multi-channel booking patterns concentrated in particular age groups, income brackets, or regions?
  • Is there evidence that companies which unify channel operations internally are outperforming those that keep e-commerce, store, and fulfilment as separate business units?

Evidence base

91external sources
Emerging evidenceevidence strength
Jul 2026 – Aug 2026detection window

Selected evidence

  1. shno.co

    Omnichannel Marketing Statistics for 2026: Customer Retention, Revenue Impact, Channel Performance, and Market Size

  2. capitaloneshopping.com

    Omnichannel Statistics (2026): Engagement, Marketing & Growth

  3. bloomreach.com

    What Is Omnichannel Commerce? Benefits, Strategy & Examples for 2026

  4. coherentmarketinsights.com

    Omnichannel Retailing Market Size & Opportunities, 2026-2033

View all 91 sources
  1. electroiq.com

    Omnichannel Statistics By Revenue, Region And Facts (2025)

  2. firework.com

    Firework | 52+ Omnichannel Stats You Can’t Afford to Ignore in 2024 (Or Risk Losing Customers!)

  3. marketingltb.com

    Omnichannel Statistics for 2026: Data, Trends & Insights Every Marketer Needs - Marketing LTB

  4. envive.ai

    32 Omnichannel Retail Engagement Statistics for eCommerce 2026

  5. revenuememo.com

    Omnichannel marketing statistics for 2026: A comprehensive analysis

  6. optimove.com

    Omnichannel Retail Trends: What’s Next for 2026 | Optimove

  7. g-co.agency

    Omnichannel Retail Trends: Strategy & Solutions for 2025 | G & Co.

  8. marketresearchfuture.com

    Omni Channel Retail Solutions Market Size, Trends - 2035

  9. feedonomics.com

    11 omnichannel trends shaping the retail landscape in 2025.

  10. insiderone.com

    10 Omnichannel Retail Trends Shaping 2026 and Beyond

  11. ringly.io

    50 omnichannel retail statistics you need to know in 2026

  12. thebusinessresearchcompany.com

    Omnichannel Retail Commerce Platform Market Report 2026, Size

  13. impact.com

    How shopping habits are shifting in 2025

  14. pwc.com

    Holiday Outlook 2025: PwC

  15. circana.com

    How Grocery Retailers and Brands Can Anticipate and Address Consumer Behavior Changes in 2025

  16. intelligencenode.com

    20 Key Consumer Behavior Trends (2024 & 2025)

  17. intelligencenode.com

    The 2024 Consumer Behavior Trends : 40 Stats for Retail Success

  18. yougov.com

    What Americans cared about in 2025: Retail, values, and the evolving shopper

  19. determ.com

    Future of Consumer Behavior: Predictions & Trends For 2025 - Determ

  20. kpmg.com

    kpmg consumer pulse survey march 2023

  21. emarketer.com

    How consumer behavior is evolving for the holidays in 2025

  22. jasminedirectory.com

    How Local Shopping Habits Changed

  23. salsify.com

    Consumer Buying Behavior: How Have Spending Habits Changed? | Salsify

  24. chainstoreage.com

    Here’s how shopping habits are changing | Chain Store Age

  25. fellowstudio.com

    How has online shopping changed retail | Fellow Studio London

  26. mckinsey.com

    The great consumer shift: Ten charts that show how US shopping behavior is changing | McKinsey

  27. fooddive.com

    The changing habits of value-driven shoppers | Food Dive

  28. mckinsey.com

    Black Friday shopping report: Consumer habits are changing fast

  29. mckinsey.com

    Some changes to grocery-shopping habits likely to stick after the crisis

  30. capitaloneshopping.com

    Impulse Buying Statistics (2026): Consumer Spending Habits

  31. dontpayfull.com

    Impulse Buying Statistics 2026: How Much Americans Spend on Unplanned Purchases | DontPayFull

  32. webtribunal.net

    55+ Impulse Buying Statistics 2026

  33. retailbrew.com

    Consumers are still making impulse purchases—and then regretting them: survey

  34. fortunly.com

    15+ Impulse Buying Statistics for 2026: Numbers, Trends & More

  35. wifitalents.com

    2026 Impulse Buying Statistics | 60+ Verified Facts

  36. partnercentric.com

    Consumer Behavior Survey & Statistics | PartnerCentric

  37. invespcro.com

    The State of Impulse Buying (Statistics & Trends 2025) - Invesp

  38. forrester.com

    Data Snapshot

  39. merchants.doordash.com

    Restaurant loyalty programs: how to start one in 2026

  40. merchants.doordash.com

    The Future of Restaurant Loyalty: Trends to Watch in 2026

  41. pymnts.com

    Loyalty Programs Drive Nearly Two-Thirds of Restaurant Delivery Decisions | PYMNTS.com

  42. openloyalty.io

    Restaurant loyalty programs: 10 successful examples (2026)

  43. tillster.com

    Restaurant Customer Retention: Why 45% of Guests are Churning in 2026

  44. blog.accessdevelopment.com

    Loyalty and Discount Program Trends and Statistics for 2026

  45. chowly.com

    Restaurant Loyalty Programs: A Guide to Boosting Customer Retention (2026) | Chowly

  46. bonusqr.com

    Restaurant Loyalty Program Software: A 2026 Guide to Boost Retention & Revenue

  47. qsrmagazine.com

    Payment Innovation Takes Center Stage for Restaurants | QSR magazine

  48. lisnr.com

    The Future of QSR Loyalty Marketing | LISNR

  49. xplorpay.com

    Payment Solutions to Power QSR Success - Xplor Pay

  50. paymentsjournal.com

    QSRs Can Address Loyalty Program Shortcomings by Serving Up Better Offers

  51. voucherify.io

    Best QSR loyalty program software in 2026: top 9 tools compared

  52. spoonity.com

    What Is a Loyalty Program? A Complete Guide for QSR & Retail Chains

  53. linkedin.com

    QSR Loyalty Part 1: Is It Really the Rewards?

  54. facteus.com

    QSR Value Wars Drove Traffic. Most Chains Lost Loyalty.

  55. spoton.com

    Proven Restaurant Loyalty Programs for QSRs and FSRs

  56. zbspos.com

    Best Restaurant Loyalty Programs Examples That Actually Work

  57. hungerrush.com

    10 Best Restaurant Loyalty Programs (And What They Get Right) | HungerRush

  58. loyaltypass.co

    12 Best Restaurant Loyalty Programs in 2026 (With Real Mechanics)

  59. thefoodygram.com

    15 Restaurant Loyalty Program Examples That Fuel More Sales

  60. owner.com

    11 Best Restaurant Loyalty Programs That Drive Sales

  61. restaurantbusinessonline.com

    Bilt wants to solve the loyalty problem for independent restaurants

  62. antavo.com

    14 Smart Restaurant Loyalty Programs That Boost Profit

  63. neoday.com

    7 Best Restaurant Loyalty Programs: Real Examples (2026)

  64. swipe.by

    9 Restaurant Loyalty Program Ideas That Keep Customers Coming Back – SWIPEBY AI Blog

  65. supermarketnews.com

    Shoppers still shifting behaviors due to inflation, fuel costs

  66. kaizen.com

    Supermarket trends in the United States 2026 | KAIZEN™

  67. fmi.org

    FMI | FMI U.S. Grocery Trends 2026

  68. tastewise.io

    Supermarket Food Trends 2026 - Tastewise

  69. grocerydive.com

    8 grocery industry trends to watch in 2026 | Grocery Dive

  70. harmelin.com

    2026 Grocery Trends: The Rise of the Value-Driven Shopper| Harmelin Media

  71. extension.psu.edu

    Food Trends 2026

  72. retailspacesolutions.com

    4 Trends That Will Define Grocery Retail in 2026 | Retail Space Solutions

  73. yahoo.com

    6 Changes Coming To Grocery Stores In 2026

  74. driveresearch.com

    Online Grocery Shopping Stats for Retail Strategy

  75. localexpress.io

    Online Grocery Delivery Market 2026: Growth, Trends & Local Opportunity

  76. grandviewresearch.com

    Online Grocery Market Size & Share | Industry Report, 2033

  77. digitalcommerce360.com

    Online grocery sales maintain +20% growth trend through Q1 2026

  78. ncbi.nlm.nih.gov

    Supermarkets in Cyberspace: A Conceptual Framework to Capture the Influence of Online Food Retail Environments on Consumer Behavior

  79. statista.com

    Online grocery shopping behavior – statistics & facts | Statista

  80. arxiv.org

    The Value of Patience in Online Grocery Shopping

  81. capitaloneshopping.com

    Online Grocery Shopping Statistics (2026): Sales + Growth Rate

  82. wavegrocery.com

    Online Grocery Shopping Statistics (2026): Yearly Data & Summary

  83. openpr.com

    Grocery Shopping Services Business Plan (DPR) 2026: Startup Cost, Investment & ROI

  84. smartbrief.com

    Optimizing the operationalization of shopper priorities in 2026 - SmartBrief

  85. mckinsey.com

    The State of Grocery North America 2026

  86. dashin.com

    Convenience Retail Trends to Watch in 2026 - Dash In

  87. mdpi.com

    Digital Payment Infrastructure and E-Commerce Adoption ...

Full analysis

Key Takeaways

  • BOPIS (buy-online-pick-up-in-store) is cited as reaching $154.3 billion in 2025 with 16.2% growth, offered as the clearest quantified evidence of channel-blurring behaviour.
  • This insight was created and updated within the same short window, meaning there is no observed persistence over time yet — durability is an open question, not a demonstrated fact.
  • The claim's scope is unusually wide, covering five distinct industries; this breadth is a strength for generalizability but a risk for dilution if any one sector's evidence is weak.
  • Consumers are described as using multiple booking and purchase channels simultaneously (e.g., travel apps, loyalty programs, alternative platforms), implying multi-homing behaviour rather than single-channel loyalty.

Behavioural Analysis

Previous behaviour

Consumers historically treated purchase, payment, and fulfilment channels as largely separate and sequential: browse or shop in one venue (a store or a single app), pay through that venue's native method, and receive goods via one predetermined path such as home delivery or in-person collection. Sector infrastructures — retail e-commerce, payments, logistics, and analogous systems in travel, healthcare, fintech, and education — largely evolved and scaled independently of one another.

Emerging behaviour

The related sentences describe consumers now blending channels within a single transaction journey: buying groceries via app, in-store, and pickup interchangeably; booking travel across provider apps, loyalty programs, and alternative platforms simultaneously; and analogous blending in healthcare (telemedicine to clinic), fintech (banking to investment to insurance), and education (online courses to institutional credentials). The behaviour is channel-fluidity within a single consumer intent, rather than sequential single-channel completion.

What is driving the change

Plausible drivers, reasoned from the material rather than asserted as fact, include: the technological maturation of unified inventory and payment APIs that make hybrid fulfilment operationally feasible; consumer time-pressure and convenience preference that favors flexible pickup and multi-platform booking over rigid single-channel paths; and possibly cross-sector imitation, where retail's omnichannel playbook is being adapted by healthcare, fintech, and education as those sectors digitize. The named $154.3 billion BOPIS figure suggests economic incentives for retailers to build the infrastructure that enables this fluidity, which may be spilling over into adjacent categories.

Who is affected

Retail and grocery chains, travel and hospitality platforms, healthcare systems building telemedicine-to-clinic pathways, fintech firms spanning banking to insurance, and education providers linking online learning to credentials are all named as touchpoints of this shift, suggesting it is not sector-specific but infrastructural.

Expected evolution

Should the pattern hold, expect deeper integration of payment rails, inventory visibility, and last-mile logistics across these sectors over the next one to two years, with BOPIS-style hybrid fulfilment likely spreading as a template beyond retail. This remains an early-stage insight with moderate confidence, and its trajectory should be treated as plausible rather than settled.

Supporting Signals

Geographic Distribution

Geographic attribution is not yet captured in the data pipeline for this item.

Evolution Timeline

  • Supporting Signal: E-commerce, digital payments, and logistics sectors show parallel growth in adoption and consumer engagement.

    July 20, 2026

  • Supporting Signal: Travelers book accommodations and flights through multiple channels including provider apps, loyalty programs, and alternative platforms simultaneously.

    July 21, 2026

  • Supporting Signal: People increasingly buy groceries through multiple channels simultaneously, combining app-based delivery, in-store shopping, and pickup services.

    July 30, 2026

  • Supporting Signal: Healthcare providers build omnichannel via telemedicine-to-clinic integration; fintech develops bank-to-investment-to-insurance ecosystems; education platforms link online courses to institutional credentials.

    August 2, 2026

  • Supporting Signal: Consumers are increasingly choosing to buy online and pick up in-store instead of waiting for home delivery.

    August 2, 2026

  • First observed

    August 2, 2026

  • Last updated

    August 2, 2026

  • Published

    August 2, 2026

Confidence Assessment

47

/ 100 overall confidence

Evidence consistency

50

Source diversity

75

Time consistency

20

Independent confirmation

55

Five distinct signals across genuinely different sectors (retail/grocery, travel, healthcare/fintech/education) provide moderate corroboration for a cross-sector insight, though five is a relatively small base for a claim spanning this many industries.

Strategic Implications

For CEOs

If channel convergence is real and durable, organisational structures that separate e-commerce, store operations, and logistics into distinct reporting lines are likely to become a competitive liability; leadership should treat this as a prompt to review whether internal incentives still reward channel silos rather than unified customer journeys.

For Founders

Startups building single-channel solutions in retail, travel, health-tech, fintech, or ed-tech should consider whether their roadmap accounts for the possibility that customers will expect to move fluidly between digital and physical touchpoints within the same transaction, since the BOPIS growth figure suggests real capital is already flowing toward hybrid models.

For Investors

The scale figure attached to BOPIS ($154.3 billion, 16.2% growth) is the most concrete data point in this insight and merits independent verification before being used in valuation or thesis work; the broader five-sector claim is directionally interesting but currently rests on a moderate confidence score and should be weighted accordingly in portfolio theses.

For Product Teams

Product roadmaps should be tested against a fluid-channel user journey — can a customer start an action in one channel (app, loyalty program, telemedicine call) and complete it in another without friction — since the underlying pattern suggests this is becoming a baseline expectation rather than a premium feature.

For Marketing

Messaging built around a single primary channel (e.g., 'shop our app' or 'book on our site') may increasingly misread how consumers actually behave; campaigns that acknowledge and support multi-channel, multi-platform behaviour (loyalty-program-to-app-to-store) are more likely to match observed intent.

For Innovation

The cross-sector nature of this insight — retail, grocery, travel, healthcare, fintech, education all named — suggests an opportunity to study whether infrastructure patterns proven in retail logistics and payments (like BOPIS) can be transplanted into less mature adjacent sectors, though this transplantability is an interpretation, not a confirmed fact.

Full Research

What We Observed

The five related sentences describe a consistent theme across otherwise unrelated industries: consumers in grocery combining app delivery, in-store shopping, and pickup; travelers booking across provider apps, loyalty programs, and alternative platforms simultaneously; healthcare providers linking telemedicine to physical clinics; fintech firms connecting banking, investment, and insurance; and education platforms linking online courses to institutional credentials. Taken together, these sentences point to the same structural claim from five different vantage points, which is the basis for treating this as a cross-sector insight rather than a retail-specific one.

What was not observed, and should not be assumed, is any granular source material — no named companies, platforms, or countries appear in the inputs beyond what is already stated in the definition and related sentences. The BOPIS figure is the only hard number provided; it has not been independently re-verified here, only carried forward as given.

What Is Changing

The previous pattern of consumer behaviour, implicit in the contrast the insight draws, was largely single-channel and sequential: a purchase or booking process typically began and ended within one venue — a store, a single app, or a designated delivery path — with payment and fulfilment following a fixed, linear sequence. Retail e-commerce, digital payments, and logistics operated as adjacent but largely separable systems, each optimizing its own segment of the transaction.

What is emerging, according to the signals underpinning this insight, is a fluid blending of channels within a single consumer intent. In grocery, a shopper might place part of an order via app, complete another part in-store, and collect via pickup — not as three separate transactions but as one flexible journey. In travel, a booking is stitched together across a provider's own app, a loyalty program, and third-party platforms simultaneously. In healthcare, fintech, and education, the same fluidity is described in structurally analogous terms: telemedicine feeding into physical clinics, banking apps extending into investment and insurance, online courses feeding into institutional credentials. The common thread is that the channel is no longer the boundary of the transaction — the transaction now spans channels.

Why This Matters

The significance of this shift, if it holds, is architectural rather than incremental. A business that treats its app, its physical locations, and its fulfilment network as separate operational units is optimizing for a consumer behaviour that, according to this insight, is already receding. The BOPIS figure is instructive here: $154.3 billion in 2025 growing at 16.2% is not a niche behaviour but a meaningful and accelerating share of retail activity, and it is being used in this insight as the leading indicator for a broader structural claim that extends well beyond retail.

The cross-sector breadth is what elevates this from a retail-operations observation to a genuine insight. If the same fluidity pattern is genuinely appearing in healthcare, fintech, and education — sectors with very different regulatory, trust, and infrastructure constraints than retail — that would suggest the underlying driver is not retail-specific convenience but a more general shift in how consumers expect to interact with any service that spans a digital and a physical or institutional component. That is a meaningfully larger claim than 'BOPIS is growing,' and it is worth being explicit that the evidence for the broader claim is thinner than the evidence for the narrower one.

How Strong Is the Evidence

The evidence base here should be read with calibrated skepticism.

The claim that this represents a 'structural shift rather than a temporary trend' is currently an interpretation embedded in the definition rather than something demonstrated by longitudinal evidence.

What We're Watching Next

Several things would materially change confidence in this reading. Third, independent verification of the $154.3 billion BOPIS figure and its 16.2% growth rate against named, checkable sources would anchor the one concrete number in this insight to something auditable. Fourth, evidence of the pattern specifically outside retail and grocery — a named healthcare system, fintech platform, or education provider genuinely building the cross-channel integration described — would be the strongest test of whether this is truly a cross-sector phenomenon or a retail pattern being generously extrapolated.