Retail Uncertainty

Retailers often ask a similar version of the same question: What is the current best practice? What is the benchmark? What does the industry say? And then they drill down: Should we have self-checkout? Should we build a loyalty program? Should we launch a retail media network? Should we move more aggressively into direct-to-consumer? Should we shrink the store? Should we add more technology? Should we use AI to personalize the experience?

These are not bad questions. In fact, they are responsible questions. Best practices matter; they help organizations avoid obvious mistakes and preserve institutional learning. They create a common language and raise the level of execution. But they do not raise the ceiling.  Generic competence is becoming one of retail’s biggest risks; there is no easy A.

This is the paradox of best practices. A best practice can make an organization more competent and less distinctive at the same time. It can help a retailer catch up while quietly making it harder to stand out. It can create the comfort of progress without the discipline of interpretation. The risk is not that best practices are wrong; it is that they are often right only in some other context. Think of it as best practices ambiguity.

This paradox matters now because retail is moving through a period of intense imitation. The same technologies are being bought. The same consultants are being hired. The same dashboards are being reviewed. The same phrases show up in earnings calls, conference panels, and strategic plans: frictionless commerce, personalization, loyalty, omnichannel, retail media, automation, AI-enabled efficiency.

The industry is not short on answers; it is short on better questions. Let’s frame this as the danger of generic competence, the condition where a retailer becomes functionally capable but strategically invalid. A real problem with over-chasing best practices is that retailers can be optimized, polished, measurable, and forgettable.

Paradox in Practice

Self-checkout may be the clearest modern example of the paradox of best practices. For years, self-checkout looked like an obvious operational advancement. It promised lower labor costs, faster throughput, more customer control, and a more modern store experience. The logic was simple: if customers could scan and pay for themselves, checkout would become more efficient.

But the reality has been much messier. Walmart, Target, Dollar General, Costco, and other retailers have either removed, limited, or rethought self-checkout in some locations.  The unanticipated consequences have included theft, customer frustration, item limits, employee workload, and the growing recognition that not every customer sees self-service as empowerment. CBS reported in 2024 that several major retailers were scaling back self-checkout; GlobalData’s Neil Saunders notes that many customers see the technology as a deterioration of service because they are being asked to do more unpaid work themselves.

To be fair, self-checkout is not a failure; it does mean self-checkout was never a universal “best” practice. It works better for some trips, baskets, categories, stores, and customers than others. A shopper buying three items on a lunch break may value speed and control. A parent with a full cart, fresh produce, age-restricted items, coupons, and a tired child in tow may experience the same technology as frustrating.

This raises the higher-level, strategic issue: Are we asking the right questions? A better approach is to ask: How do we remove checkout friction? Which friction is bad, and which carries service, trust, and reassurance? Amazon Fresh and Just Walk Out technology offer a different version of the same lesson. Amazon’s cashierless technology was one of the most visible symbols of a frictionless retail future. Walk in, pick up what is needed, leave, and let the system handle payment. As an idea it was powerful. As a use case, it depended heavily on context.

In 2024, Amazon removed Just Walk Out from its U.S. Amazon Fresh grocery stores and shifted to Dash Carts, while continuing to use Just Walk Out in smaller third-party and convenience-oriented formats. That is not a story of technology succeeding or failing. it is a story of appropriate fit. A customer grabbing a sandwich in an airport, drink in a stadium, or a few items in a convenience format may value invisible checkout. A grocery shopper building a weekly basket may want price visibility, list management, substitution control, promotion clarity, and confidence that the transaction is correct. In that setting, the visible cart may be more useful than the invisible checkout. The best practice is not cashierless retail, it is reducing friction for the right shopping mission.

Efficiency Without Interpretation

This is where academic research offers a useful warning. George Ritzer and Steven Miles, in their article The Changing Nature of Consumption and the Intensification of McDonaldization in the Digital Age (2019), argued that ‘McDonaldization’ did not fade as commerce became more digital; it intensified. The original McDonaldization thesis centered on four forces: efficiency, calculability, predictability, and control. In the digital age, those forces become easier to scale, easier to measure, and easier to make feel natural to the customer.

That matters for retail because many modern best practices are built from the same logic. They promise faster transactions, cleaner metrics, greater consistency, and tighter control. Those are useful goals. No retailer should romanticize inefficiency or inconsistency. But Ritzer’s and Miles’ point is that digital systems can make rationalized consumption feel like progress while also increasing standardization, shifting work to the consumer, and making the structure of control less visible.

That is the danger of efficiency without interpretation. A retailer can become faster and still become less meaningful. It can become more measurable and still become less trusted. It can become more predictable and still become less memorable. It can give the customer more control in one sense while asking the customer to do more work in another. This is not an argument against technology. It is an argument against assuming that every improvement in speed, scale, measurement, or automation is automatically an improvement in the customer relationship. Some friction is waste. Some friction is reassurance. Some friction is discovery. Some friction is service. Some friction is trust. Some friction is simply bad process wearing a strategic costume. The work of retail leadership is knowing the difference.

Costco and Trader Joe’s Live Best Practices

Best practices become dangerous when they are adopted independently, without regard to a brand’s ecosystem.  Costco is a retailer that appears to be almost stubbornly disciplined about what it is and what it is not. The modern loyalty playbook often revolves around points, tiers, app engagement, personalized offers, rewards mechanics, and promotional triggers. Costco’s loyalty model is different. The membership is not an add-on to the business; it is the business model. The promise is simple: pay to belong, and Costco will keep earning that fee through value, trust, the treasure hunt, operational discipline, and a limited assortment that feels curated rather than restrictive.

The numbers suggest that the model works; Costco reported member renewal rates of 92.9 percent in the U.S. and Canada and 90.5 percent worldwide at the end of fiscal 2024. Its customer executive members represented approximately 73.3 percent of worldwide net sales. Costco is a useful lesson because it challenges conventional loyalty best practices. A retailer could look at Costco and say, “We need a membership program.” That would be the wrong lesson. Costco’s advantage is not simply that it charges a fee, it is that the fee is supported by a coherent operating model. The assortment, pricing, private label strategy, warehouse experience, employee model, and customer promise all holistically reinforce loyalty. Costco asked the right question: How do we make customers believe their relationship is worth renewing.

Trader Joe’s makes the argument even sharper.  In an industry obsessed with omnichannel, loyalty data, ecommerce, personalization, and self-service technology, Trader Joe’s keeps its own retail checklist. It does not behave like a retailer desperately trying to copy every tending capability. It has avoided self-checkout, does not operate conventional ecommerce, and has no traditional loyalty program. This is not an argument that every retailer should copy Trader Joe’s. That would miss the point entirely.

Trader Joe’s works because its best practices fit together systemically. Limited assortment, private label storytelling, crew interaction, discovery, seasonal surprise, playful brand voice, and store-level energy all reinforce its unique customer experience. Trader Joe’s is an outlier rejecting a loyalty app that might collect more data but change its relationship. Ecommerce might add convenience, but it could dilute the discovery and human interaction that make the brand so distinctive. Self-checkout might improve throughput, but it could weaken the crew-customer connection that delivers value to shoppers. Trader Joe’s is not anti-technology; it is pro-coherence. It understands it must protect the experience it promises.

Ask the Right Questions

Successful retail has never been only about efficiency; it has been about interpretation and understanding.  Human judgment and critical thinking inform what and where to offer, how to present and price it, how to serve it, and how to make the customer believe the experience is worth returning for.

Following industry best practices can inform that judgment, but it cannot replace it. In a world where every retailer has access to the same tools, benchmarks, industry knowledge, case studies, and increasingly the same AI-generated recommendations, the advantage will not come from copying a formula. It will come from knowing when the formula is not enough and treating best practices as evidence, not instructions.  It tells us what worked somewhere else, at some prior moment, under specific conditions. Before copying it, leaders should ask: What made it work there? Do those same conditions exist here? What customer problem did it solve? What trade-offs did it create?

Success results from optimizing for the brand not the industry benchmark. What works for one digitally native brand may not translate to a legacy brand with different customer expectations, economics, and relationships. Use AI to pressure-test, not finalize. As a cautionary note, AI will make generic competence easier to reproduce. It can generate the loyalty strategy, personalization plan, store concept, promotional calendar, and customer journey map in seconds. But if everyone has similar tools and asks similar questions, the outputs will converge. The better use of AI is not to ask for the answer. It is to ask for the weakness in the answer.

Adapt the practice principle, not the artifact. Don’t copy irrelevant behavior. Don’t play follow the leader. Ask the right questions and customize the best practices that serve your customers and workforce in a connected, holistic system. The best practices paradox can derail any business that is foolish enough to assume everyone else knows better.

Restoring Common Sense

Retail has never been only about efficiency. It has always been about judgment: What to offer, where to offer it, how to present it, how to price it, how to serve it, and how to make customers believe the experience is worth returning to. Best practices can inform that judgment, but they cannot replace it. The strongest retailers do not ignore the industry standard playbook. They study it closely, then they decide which pages apply, which pages need revision, and which pages should be ripped out.