The Great Retail Customer Service Pivot Since COVID: Why Policies Are Tightening Everywhere (and What Costco’s Shift Really Signals)

Since COVID, retail customer service has been quietly rewritten. The “always say yes” era (frictionless returns, endless exceptions, generous goodwill credits) is being replaced by a more controlled model: shorter return windows, stricter eligibility, more verification, more self-service, and less discretionary flexibility in-store. Costco—historically the poster child of ultra-lenient satisfaction guarantees—tightening its approach is a watershed moment, not an anecdote.

Why this matters now

Retail leaders spent decades treating customer service as a brand amplifier: remove friction, absorb exceptions, and let frontline staff “make it right.” COVID changed the economics underneath that philosophy. The shift wasn’t ideological—it was structural:

E-commerce acceleration pushed return rates up (and made reverse logistics a core P&L line, not an operational footnote).
Labor constraints and churn increased the cost of service delivery while reducing the experience consistency customers used to take for granted.
Inflation forced margin defense, and customer service policies became a margin lever.
Fraud, “policy arbitrage,” and abuse scaled with digital receipts, marketplaces, and social sharing of loopholes.
Shrink + ORC (organized retail crime) broadened the security lens: verification, controls, and exception governance.

The result is a new customer service doctrine: “yes, but with guardrails.” And those guardrails are spreading across mass retail, specialty retail, and even luxury—segments that used to differentiate precisely through leniency.

The Costco signal: when the most forgiving retailer stops being forgiving

Costco has long benefited from a near-mythical customer promise: satisfaction guaranteed, with a reputation for unusually flexible returns and minimal interrogation. That reputation is also a magnet for edge cases—returns that feel more like “rental behavior” than dissatisfaction resolution.

According to recent reporting, Costco members are observing a tightening of the experience: more frequent requests for proof of purchase, more scrutiny, and signals that the warehouse is narrowing what qualifies under the broad satisfaction umbrella. The emotional reaction (“the easy days are over”) matters because it shows something deeper than a policy tweak:

Costco is protecting the membership model (value perception for paying members depends on controlling abuse and costs).
Costco is normalizing verification (proof, history checks, and consistency across stores—less frontline discretion, more system rule).
Costco is treating returns as a managed risk domain, not a marketing message.

In parallel, the wider industry context is stark: retail returns represent an enormous cost pool, and return/claims fraud is measured in the tens (and hundreds) of billions. Once you accept those numbers as real, policy tightening becomes less a “customer service choice” and more a “business continuity choice.”

From “delight at any cost” to “service as a controlled operating system”

Pre-COVID, customer service was often a brand theater: the store manager could override; exceptions were part of the charm; a generous policy signaled confidence. Since 2020, the playbook is shifting toward a controlled operating system with five recurring moves:

1) Shorter windows and tighter eligibility

The easiest way to reduce return cost is to reduce the time (and condition variability) of what comes back.

Shorter refund windows (30 days becomes the new default in many categories).
Category exclusions (electronics, high-theft items, consumables, seasonal goods).
Condition enforcement (packaging, tags, “unused,” hygiene rules).

2) More verification, less discretion

Verification is replacing trust-by-default.

Receipt/proof requirements are more consistently enforced.
Identity verification for returns (especially no-receipt returns).
System flags for unusually frequent returns (“pattern detection”).

3) Monetary friction: fees, restocking, and store credit

Retailers learned that customers respond to small friction. Not enough to kill conversion—but enough to discourage bracketing and impulse over-ordering.

Mail return fees for online orders.
Restocking fees for large items or electronics.
Store credit beyond a certain window, rather than original tender refunds.

4) Self-service everywhere (and fewer humans when it’s “non-value add”)

Service has been “productized” into flows, portals, kiosks, and chat.

Portals for returns, cancellations, and order changes.
Chatbots for triage (humans reserved for escalations).
Appointments for high-touch categories (beauty consultations, luxury repairs, alterations).

5) A new metric stack: margin + abuse control + customer lifetime value

The metric conversation is maturing. “NPS at all costs” is being replaced by segmentation and lifetime value logic:

Different rules for different tiers (memberships, loyalty levels).
Exceptions are governed, documented, and audited.
Service recovery is still possible—but increasingly conditional.

Segment-by-segment: how the pivot looks in mass, specialty, and luxury

Mass retail: tightening at scale without breaking trust

Mass retailers must preserve convenience because they compete on frequency and breadth. Their challenge is to tighten policies without triggering a perception of hostility.

What’s changing most visibly:

Returns as an “industrial process”: automation, scanning, routing, liquidation optimization.
More “policy clarity” signage: fewer ambiguous promises, more standardized rules.
Membership and account economics: perks remain, but increasingly sit behind a login, a tier, or an identity check.

Strategic rationale: mass retail can’t out-luxury luxury—but it can out-operate everyone. Returns and customer service are now part of operational excellence, not just store friendliness.

Specialty retail: where returns, try-ons, and “bracketing” collided

Specialty retail (apparel, beauty, consumer electronics, sporting goods) is ground zero for the post-COVID returns debate. Digital shopping made try-on behavior explode, and social media normalized bracketing (“buy three sizes, return two”).

Common moves:

Reduced windows (especially for beauty and electronics).
More rigid “used vs unused” definitions.
Mail return friction and incentives to return in-store (because it’s cheaper and can save the sale).
Exchange-first flows (“store credit” nudges, bonus credit, faster exchange shipping).

Strategic rationale: specialty retailers often live in lower gross margin reality than consumers assume—especially once shipping, promotions, and reverse logistics are counted.

Luxury: the most surprising pivot—because “exception” used to be the product

Luxury customer service traditionally weaponized flexibility: you weren’t buying a product, you were buying reassurance, relationship, and effortless problem resolution. So why tighten now?

Higher ticket fraud risk: returns and chargebacks become materially expensive, materially fast.
Grey market leakage: returns and exchanges can be exploited to move product into resale channels.
Brand protection: condition standards, authenticity chain-of-custody, and packaging rules become stricter.
Clienteling modernization: service is increasingly tied to profiles, purchase history, and relationship ownership.

Luxury isn’t “becoming mass retail.” It is becoming more explicit about what was previously implicit: service is exceptional when the relationship is real, and controlled when behavior looks transactional or abusive.

The hidden engine behind stricter policies: reverse logistics economics

Returns are not just “items coming back.” They are a multi-step cost cascade:

Inbound shipping or carrier consolidation
Receiving labor
Inspection and grading
Repackaging / refurb / cleaning
Re-stocking or re-routing
Markdown risk (inventory aging)
Liquidation / secondary market recovery
Fraud investigation and dispute handling

And the critical insight: many returned items cannot be resold at full price—or at all. For categories like cosmetics, intimate apparel, seasonal fashion, and certain electronics, the resale value drops sharply. Generous return policies were effectively a silent subsidy—one that looked acceptable when growth was the primary story, and looks unacceptable in a margin-defense era.

Customer expectations didn’t shrink—so the “service contract” is being renegotiated

Here’s the tension: customers got used to frictionless everything during the pandemic years—easy returns, liberal exceptions, quick refunds, free shipping, and instant support. Retailers can’t fully sustain that model anymore, but they also can’t revert to “old retail” without losing loyalty.

So we’re watching a renegotiation of the service contract built around three ideas:

1) Transparency beats surprise

Customers will tolerate stricter rules if they’re clearly stated at the right moment (product page, checkout, receipt) and enforced consistently.

2) Good friction is targeted friction

Friction should deter abuse, not punish legitimate customers. That requires segmentation and data—not blanket policies applied bluntly.

3) Membership is the new “exception engine”

Retailers are increasingly saying: if you want the “old world” of ease, enroll. Memberships (paid or loyalty-based) are how companies fund better service and keep it economically rational.

What the best retailers are doing instead of just saying “no”

The strongest operators aren’t simply tightening. They’re replacing generosity with smarter design:

Pre-purchase confidence tools: sizing intelligence, fit prediction, richer product data, better photography, reviews you can trust.
Exchange-first UX: make the “keep the customer” path smoother than the “refund” path.
Instant credit for compliant returns: faster store credit when rules are followed; slower refunds when risk is higher.
Human support for high-value moments: premium SKUs, loyalty tiers, complex issues—humans where it matters.
Fraud prevention that doesn’t feel accusatory: quiet controls, not public conflict at the counter.

This is the pivot in one sentence: design out returns and disputes, instead of absorbing them.

A practical framework: how to tighten policies without destroying your brand

If you run retail, here is a pragmatic blueprint I see working across segments:

Step 1: Segment customers and incidents

Separate high-LTV customers from one-time opportunists.
Separate defect-related returns from preference-related returns.
Separate “new condition” from “degraded condition” pathways.

Step 2: Define a clear “exception governance” model

Who can override policies?
When should they override?
How is it recorded and audited?

Step 3: Make compliance easy

Simple instructions, QR codes, proactive reminders.
In-store return lanes and clear receipts.
Instant resolution when the customer follows the rules.

Step 4: Add friction only where abuse concentrates

No-receipt returns
High-risk SKUs
High-frequency returners
Unusual claims patterns

Step 5: Communicate the “why” in customer language

Cost, fairness, member value, safety, and sustainability resonate more than “policy changes.”

My take: Costco is not “becoming harsh”—it’s becoming economically honest

Costco’s brand has always been built on trust and value. Tightening return behavior enforcement doesn’t contradict that—if it’s executed well. In fact, there’s an argument that it protects the promise for the majority of members by preventing a minority from subsidizing their lifestyle through policy loopholes.

The winners in the next retail chapter will be the companies that manage a delicate balance:

Firm rules that protect the business
Fast resolution for compliant customers
Selective humanity when the moment justifies it

Customer service isn’t disappearing. It’s being redesigned—from a discretionary art to an engineered system.

Amazon’s 10% Corporate Cuts: A Retail Reset in an AI-Driven, Value-Hungry Market

Amazon’s announcement that it will cut roughly 10% of its corporate workforce is being read as yet another “tech layoff” headline. But the more useful lens is retail strategy. This is a signal that the world’s most influential commerce platform is tightening its operating model—fewer layers, faster decisions, harder prioritization—at the exact moment the retail industry is being squeezed by value-driven consumers, volatile costs, and a step-change in productivity enabled by AI.

What Amazon Announced (and What It Implies)

Amazon confirmed approximately 16,000 corporate job cuts—a reduction that represents close to 10% of its corporate workforce—as part of a broader effort to trim about 30,000 corporate roles since October. The company’s messaging emphasized classic operating-model themes: reducing layers, increasing ownership, and removing bureaucracy.

Importantly, this is not a warehousing/fulfillment workforce story. Amazon’s total headcount remains dominated by frontline operations. This is a white-collar reset: the structures that sit between strategy and execution—program management layers, duplicated planning cycles, slow approval chains, and teams attached to initiatives that no longer clear the bar.

In parallel, Reuters reported Amazon is also closing its remaining brick-and-mortar Fresh grocery stores and Go markets, and discontinuing Amazon One biometric palm payments—moves that reinforce the same narrative: prune bets that aren’t scaling, focus investment where the company can build defensible advantage, and simplify the portfolio.

Amazon’s workforce move is less about “panic” and more about a mature platform re-optimizing for speed, margin discipline, and AI-enabled productivity.

A note on “AI” vs “Culture” explanations

In corporate restructurings, “AI” and “culture” can both be true—yet incomplete. AI does not automatically eliminate jobs; it changes the unit economics of work. When tasks become faster and cheaper, management starts asking different questions:

How many coordination roles do we still need?
Which approvals can be automated or collapsed?
Which initiatives are producing measurable customer value—and which are internal theater?
Can one team now deliver what previously required three?

That is how AI becomes a restructuring force—indirectly, through higher expectations of throughput and sharper scrutiny of “organizational drag.”

Zoom Out: Retail in 2026 Is Growing… But It’s Not Getting Easier

The retail industry is living with a paradox: consumers are still spending, and online sales can hit records, yet many retailers feel structurally pressured. Why? Because growth is increasingly “bought” through discounts, logistics promises, and expensive digital experience upgrades—while costs remain stubborn.

One recent data point illustrates the dynamic: U.S. online holiday spending reached a record level even as growth slowed versus the prior year, supported by steep discounts and wider use of buy-now-pay-later. That combination is great for topline… and often less great for margin quality.

The “value-seeking consumer” is no longer a segment—it’s the default

Retailers have trained customers to expect promotions, fast delivery, frictionless returns, and real-time price comparison. Meanwhile, macro uncertainty (rates, trade policy, input costs) raises the cost of doing business. The result is a market where consumers behave rationally, and retailers have less room for error.

Deloitte’s 2026 retail outlook summarizes the strategic center of gravity well: retailers are converging on AI execution, customer experience re-design, supply chain resilience, and margin management/cost discipline as the core levers of competitiveness.

Why Amazon’s Cuts Matter for the Whole Retail Industry

Amazon’s decisions tend to become industry standards—not because others want to imitate Amazon, but because Amazon shifts customer expectations and competitive economics. A 10% corporate workforce reduction sends at least five signals to the retail market:

1) Overhead is back under the microscope

Many retailers expanded corporate functions during the pandemic-era acceleration—analytics, growth marketing, product, program management, experimentation teams. In 2026, boards and CEOs are asking: which of these functions are directly improving customer outcomes or margin? “Nice to have” roles are increasingly hard to defend when the same outcomes can be achieved through automation, consolidation, or simpler governance.

2) The new operating model is flatter, faster, and more measurable

Retail is becoming more like software in one key respect: the feedback loop is immediate. Pricing changes, conversion, fulfillment performance, churn—everything is instrumented. That makes slow decision cycles unacceptable. Organizations that require three meetings to approve what the customer experiences in three seconds will lose.

3) Portfolio pruning is becoming normal—even for big brands

Amazon closing remaining Fresh/Go stores and dropping Amazon One is a reminder that even massive companies abandon initiatives that don’t scale. Across retail, the era of “everything, everywhere” experiments is giving way to a tighter focus on what truly differentiates: loyalty ecosystems, private label, retail media, last-mile advantage, and data-driven assortment.

4) AI is reshaping cost structures—especially in corporate roles

AI is accelerating work in marketing ops, customer service knowledge management, basic software engineering, forecasting, and merchandising analytics. The real change is not the tool itself—it’s that management will recalibrate what “normal productivity” looks like. That inevitably reduces tolerance for duplicated roles and slow handoffs.

5) The definition of “resilience” has changed

Resilience used to mean having a big balance sheet and scale. Now it increasingly means: the ability to reallocate resources quickly, shut down underperforming bets without drama, and redirect investment into the handful of initiatives that move customer metrics and margin simultaneously.

The Retail Context: What’s Driving This Reset?

To understand why Amazon is tightening its corporate model, it helps to look at the pressure points shared across retail:

Promotion intensity: Customers anchor to discounts; winning volume can mean sacrificing margin quality.
Cost volatility: Transportation, labor, and trade-related inputs remain uncertain in many categories.
Omnichannel complexity: Serving “shop anywhere, return anywhere” is operationally expensive.
Inventory risk: Too much inventory forces markdowns; too little risks losing customers to substitutes.
Experience arms race: Faster delivery, better search, better personalization, smoother returns—costs money, but is now table stakes.
Retail media monetization: A growing lever, but it demands sophisticated data governance and measurement discipline.

Against that backdrop, corporate structures that were tolerable in a growth-at-all-costs environment are being questioned. The industry is moving from “more initiatives” to “fewer initiatives executed extremely well.”

What about physical retail?

Physical retail isn’t “dead”; it’s polarizing. Best-in-class operators are using stores as fulfillment nodes, experience hubs, and loyalty engines. But undifferentiated footprints—especially those without a clear convenience or experience edge—are hard to justify when consumers can compare prices instantly and demand fast delivery.

Amazon’s pullback from certain physical formats reinforces this: physical retail can be powerful, but only when the model is scalable and operationally repeatable. Otherwise, it becomes an expensive distraction.

A Balanced View: Efficiency Gains vs Human Cost

It’s easy to discuss layoffs as if they are purely strategic chess moves. They are not. They impact real people, families, and local economies—and they can damage trust inside the company if handled poorly.

From a leadership standpoint, Amazon’s challenge is not just to reduce cost. It must also preserve the talent density required for innovation—especially in areas like cloud, AI, and customer experience—while preventing the organization from becoming risk-averse after cuts.

For employees and the broader labor market, these announcements reinforce an uncomfortable reality: corporate work is being re-benchmarked. Roles that exist primarily to coordinate, summarize, or route decisions are most exposed—because AI can increasingly compress those activities.

The strategic question isn’t whether AI “replaces” people—it’s how organizations redesign work so that humans focus on judgment, customer insight, and differentiated creation.

What Retail Leaders Should Take Away (Practical Lessons)

If you are a retail executive, Amazon’s move is not a template—but it is a forcing function. Here are concrete, board-ready takeaways:

Lesson 1: Cut complexity before you cut ambition

Many retailers respond to pressure by cutting budgets across the board. A better approach is to cut complexity: reduce layers, simplify decision rights, and collapse duplicated teams—so that investment can remain focused on the few initiatives that matter.

Lesson 2: Make AI a productivity program, not a pilot

Retailers who treat AI as a lab experiment will underperform. The winning pattern is to tie AI directly to measurable outcomes: lower cost-to-serve, improved forecast accuracy, reduced customer contact rates, faster cycle times in merchandising, and better conversion.

Lesson 3: Rebuild metrics around margin quality, not just topline

In a discount-driven market, revenue can be misleading. Track contribution margin by channel, return-adjusted profitability, fulfillment cost per order, and promotion ROI. Growth that destroys margin is not strategy—it’s drift.

Lesson 4: Align the operating model to the customer journey

Most friction (and cost) comes from handoffs between teams that own fragments of the journey. A customer-centric model is not a slogan—it’s a design principle: fewer handoffs, clearer ownership, faster iteration.

Lesson 5: Treat restructuring as a credibility moment

Trust is an asset. How you communicate, how you support transitions, and how you explain priorities determines whether you retain top performers—or lose them to competitors at the worst time.

What Happens Next: 3 Scenarios to Watch

Over the next two quarters, three scenarios are worth monitoring across retail and e-commerce:

Scenario A — “Efficiency flywheel”: AI-driven productivity offsets cost pressures, and retailers reinvest savings into experience and loyalty, strengthening competitive moats.
Scenario B — “Promotion trap”: Demand stays healthy, but competitors chase share with discounts, compressing margins and forcing continued cost cuts.
Scenario C — “Selective resilience”: Leaders with strong private label, retail media, and supply chain agility outperform; mid-tier players get squeezed between price leaders and premium experience brands.

Amazon’s corporate cuts are consistent with Scenario A: compress overhead, increase speed, and keep optionality for reinvestment in priority bets. But the industry will not move uniformly—expect divergence.

Closing Thought

Amazon’s decision is not a prediction of collapsing demand. It is a prediction of a different competitive game: retail in 2026 rewards speed, cost discipline, and AI-enabled execution more than headcount and organizational breadth.

The retailers that win won’t just “use AI.” They’ll redesign their operating models so that AI compresses cycle times, eliminates coordination drag, and frees talent to focus on what customers actually feel—price, convenience, trust, and relevance.

FAQ

Is Amazon cutting warehouse and fulfillment jobs?

The announced reduction is primarily focused on corporate roles. Amazon’s overall workforce is largely frontline operations; the corporate cuts represent a much smaller share of total headcount.

Does this mean retail demand is weakening?

Not necessarily. The better interpretation is that retailers are re-optimizing for a market where consumers remain value-driven and operational costs remain pressured. This is about competitiveness and margin structure as much as demand.

Will other retailers follow?

Many already are. Corporate overhead, decision layers, and duplicated functions are being scrutinized across the industry—especially where AI can compress workflows and increase measurable productivity.

Luxury Retail in the U.S. at a Crossroads: Beyond the Saks Global Crisis

In early 2026, one of the most iconic names in American luxury retail—Saks Global Enterprises—faces not just leadership change, but the very real possibility of a Chapter 11 bankruptcy filing. This moment is more than a headline; it crystallizes deeper structural shifts in luxury retail and what strategic approaches may help the sector navigate a very different competitive and economic reality.

In this article, we break down how the imminent crisis at Saks reflects broader trends in U.S. luxury retail, and then examine strategic responses that leaders must consider if they intend to sustain relevance and profitability in the years ahead.

The Current Situation: Saks Global Under Strain

Saks Global Enterprises—formed in 2024 through the acquisition of Neiman Marcus and the integration of several high-end retail brands including Saks Fifth Avenue, Neiman Marcus, Bergdorf Goodman, and Saks OFF 5TH—was meant to consolidate luxury scale and optimize competitive positioning. Yet just two years later, the organization is reportedly preparing to seek Chapter 11 bankruptcy protection after missing a large interest payment tied to its acquisition debt.

In addition to this financial pressure, the company has undergone a leadership transition. CEO Marc Metrick—long a figure closely associated with Saks’ digital and strategic transformation—stepped down and was replaced by Executive Chairman Richard Baker as CEO, reflecting both the urgency of the situation and a desire to stabilize through experienced leadership continuity.

Beyond the debt issue, Saks Global has faced declining sales, inventory challenges, vendor payment disruptions, and a luxury market that has softened under inflationary pressures and cautious consumer spending.

The situation reverberates far beyond Saks itself. As an anchor in the luxury ecosystem, its struggles are a tangible signal to brands, suppliers, landlords, and even rival retailers that the U.S. luxury retail model must adapt—or risk repeating similar outcomes.

Underlying Trends in Luxury Retail

1. Shifting Consumer Behavior

High net-worth consumers have traditionally insulated luxury brands from broader economic cycles. However, recent data suggests that discretionary luxury spending has cooled as inflation persists and economic confidence wavers. Consumers are increasingly selective, favoring experiences, direct brand interactions, digital convenience, and curated ownership over traditional multi-brand department store formats.

2. The Debt Burden of Scale

The debt leveraged to finance mergers and acquisitions—such as the Neiman Marcus purchase—strains operational flexibility. When revenue growth fails to match debt servicing requirements, even well-established brands can find themselves in financial distress. Saks’ struggle with bond interest payments and refinancing illustrates how quickly leverage can shift from strategic tool to strategic vulnerability.

3. Multi-Brand vs. Single-Brand Dynamics

Single-brand retail models increasingly outperform multi-brand department stores because they can integrate inventory, digital marketing, customer data, and fulfillment under one unified strategy. The multi-brand department store model—once a hallmark of luxury retail—now faces persistent headwinds given changing expectations for personalization and brand direct engagement. Analysts have pointed to shifting consumer patterns where purchases migrate toward brand stores, online channels, and brand-owned digital ecosystems.

4. Vendor and Supply Chain Strains

Reported delays in vendor payments and strained supply chain relationships at Saks Global reflect a breakdown in the value chain that can sharply limit inventory availability and competitive positioning. Inventory shortages amplify consumer frustration, reduce foot traffic, and weaken operational performance—particularly in sectors where product freshness and selection breadth matter.

Strategic Approaches for U.S. Luxury Retail Leaders

The structural challenges outlined above require more than short-term fixes. They call for strategic repositioning, operational transformation, and leadership alignment across functions. Below are several approaches that organizations can adopt to navigate this era of increased uncertainty and complexity.

1. Reinforce the Operating Model Around Experience

Luxury retail must transcend the traditional inventory-led operating model and orient itself around the customer experience as an operating and financial driver. This means unifying digital and physical channels, reducing friction across touchpoints, and investing in human capital that understands high-touch service standards. Experience must become the organizing principle of operations—not a marketing overlay.

2. Build Financial Flexibility Early

Debt structures that compromise agility are a strategic risk. Leaders should explore alternative financing structures that reduce dependency on high-leverage models. Prioritizing cash flow discipline and flexibility can enable faster responses to market shifts. For legacy players, this may involve asset optimization, sale-leaseback arrangements, or selective divestitures designed to unlock capital without eroding brand equity.

3. Embrace Brand Direct Ecosystems

Luxury brands and retailers must deepen direct engagement with consumers through first-party data platforms, loyalty ecosystems, and bespoke services that extend beyond transactions. Integrating e-commerce, personalization, and fulfillment investments into a single ecosystem can create faster learning loops, higher lifetime value, and stronger defensibility in competitive markets.

4. Strategic Portfolio Rationalization

Not all segments or locations contribute equally to strategic objectives. Leaders should conduct rigorous portfolio profitability analyses and prioritize assets (stores, brands, channels) that align with long-term positioning. Rationalization may involve closing underperforming outlets or repositioning them into high-value experiential formats.

The Road Ahead

The prospect of Saks Global filing for Chapter 11 is not just the story of one company—but a signal that the U.S. luxury retail environment is entering a period of transformation. Leaders who recognize the structural shifts—shifting consumer behavior, operational model evolution, financial discipline, and direct brand engagement—will be better positioned to not only survive but thrive.

Luxury retail is far from dead. But its future will be defined by organizations willing to redesign their business models for relevance, resilience, and customer-centric growth in the decade ahead.

For executive perspectives on strategy, transformation, and the future of experience-driven industries, stay tuned to delestre.work.

2026: Strategy, Transformation, and the Challenge of Experience-Driven Growth

The beginning of a new year invites reflection. Not the superficial kind driven by resolutions, but the deeper work of clarifying where attention, energy, and intent should be focused.

After years working alongside executive teams on large-scale transformation initiatives, one observation has become increasingly clear: the hardest transformations are no longer technical. They are structural, cultural, and decisional.

Why Experience-Driven Industries Are Different

Hospitality, luxury, and specialized retail operate under a unique set of constraints. Brand promise, customer experience, operational excellence, and margin discipline must coexist—often in tension.

Growth cannot come at the expense of experience. Efficiency cannot undermine brand. Scale cannot dilute identity.

These industries therefore expose the limits of traditional transformation approaches. Strategy alone is insufficient. Technology alone is ineffective. Change programs alone are unsustainable.

Experience Is an Operating Model Outcome

Experience is not a department, a program, or a layer added on top of the organization. It is the natural outcome of how the organization is designed to operate.

Decision rights, governance, incentives, escalation paths, and execution cadence all shape the experience delivered to customers and guests—often far more than design or intent.

When experience deteriorates, the root cause is rarely a lack of ambition. It is misalignment between strategy and the operating model tasked with delivering it.

Transformation as Structural Redesign

Many transformation efforts fail not because the strategy was wrong, but because the organization was never structurally redesigned to support it.

Teams are asked to behave differently while incentives remain unchanged. Leaders are asked to move faster while governance grows heavier. Frontline employees are asked to deliver excellence while decision-making drifts further away from the point of action.

True transformation requires redesigning the system itself—not just mobilizing it.

Leadership, Governance, and Accountability

In experience-driven industries, leadership discipline matters more than momentum.

The most effective transformations are characterized by clarity: few priorities, explicit trade-offs, and unmistakable ownership. Governance exists to enable decisions, not to multiply forums.

Accountability is not shared—it is owned.

Looking Forward

In 2026, I intend to explore these themes more deliberately: strategy execution, operating model design, transformation governance, and leadership in experience-driven organizations.

Not as abstract concepts, but as practical challenges faced daily by executives navigating growth, complexity, and reinvention.

If there is a single conviction guiding this exploration, it is this: sustainable transformation happens when organizations are redesigned to deliver on their ambition—not simply encouraged to pursue it.