Sathish:
“You have spent decades watching retail and technology evolve. What has changed now compared to the earlier shifts you have seen?”
Dave:
There are many mitigating factors all at play. Today technology is often seen not just as an enabler but as a driver of the transaction and the interaction with consumers, and where retailers and brands use that technology has changed significantly over the last five, ten, and thirty years. But what remains the same, and what I have been adamant about throughout my career, is that the relationship a consumer has with a brand or retailer has to be relational. When it starts tilting toward a transaction-only interaction, yes, it is easy to automate, but it becomes very difficult to maintain loyalty or stay differentiated. So my simple answer to your big question is that consumers are still people and they are relationship-driven. Let us figure out how to use technology to strengthen a relationship, not replace the human interaction.
Sathish:
“Five years from now, close to 2030, will the shopper relationship still matter, or does it become more transactional?”
Dave:
I hope it still matters. The real challenge is that if it becomes transactional only, then it is only about product availability. Because technology and AI-curated assortments narrow the field of selection so significantly, consumers will literally be shopping on price, availability, shipment, and ease of transaction alone. That means the word loyalty, which was near and dear to my heart when I began in the 90s watching retailers big and small try to gain a foothold in their community and online, goes away. It was about differentiating and making it experiential. As soon as you take that out and it becomes nothing more than I need a product, here is a product, I will shop wherever it is available fastest, then you do not need people in the transaction, and loyalty is in the rear-view mirror.
Sathish:
“Convenience has been the big focus for years. What is the next innovation frontier retailers should focus on?”
Dave:
We have to be careful not to dismiss what has already been built. Convenience of purchase, return, delivery, and customer service does not go away. I used to do improv comedy, and we had a concept called yes and, where there is always something additive. The same is true in retail. It is convenience, and loyalty, and something else. I think the and is a curated solution. Buying a single product often does not solve the consumer’s need. If you go to fix your kitchen sink and all you buy is a faucet, but you also needed a washer, a hose, or a filter, you did not get a complete solution. So on top of convenience, loyalty, and product selection, the next frontier is true problem solving. AI becomes powerful here because it can curate that individualized basket. Traditional category management, the right product in the right place at the right time, remains table stakes. The and is that the category has to be curated to the individual. Your home improvement solution probably looks nothing like mine, because you are handy and I do not know which end of the wrench to use. My solution might include a how-to video or a hotline with a rep who can walk me through it.
Sathish:
“Thirty years ago people thought the internet would take over physical stores, but stores still hold most of the market. What happens over the next five years?”
Dave:
I do not have a crystal ball, and if I did I am not sure it would be clear. But here are a couple of certainties. Consumers really do not care, and I say this as a consumer myself. I do not mind if I buy through an online storefront, a physical store, social media, a click on my television, or some means I do not even know yet. It does not matter as long as I have the right product at the right time. So the answer is it has to be integrative. There was a lot of talk about omni-channel, a concept that is now 30 years old, yet I can point to retailers today who have an e-commerce department and a brick and mortar department that barely know each other. That needs to come together into one. If there is a customer service bot, it needs to look and feel just like the online and in-store experience. If there is a social component, integrate it, because the consumer does not care which channel any more than they care whether they are in the cough-cold aisle or the skincare aisle. They just want the product that meets their need.
Sathish:
“There are overwhelming choices for consumers. Is curation and recommendation even possible in a physical store?”
Dave:
The limitation is the finite physical box and the duplication of inventory. Take retail health. If I create a sports injury recovery section I have to put pain relief in it, but if I also have a living with arthritis section, I need pain relief there too. So how do I solve that without duplicating inventory? A simple model: picture walking into a hotel in a new city and going to the concierge to ask for a restaurant, a drugstore, a ride. How many retailers have a concierge desk? I cannot think of any. But imagine someone asking, what are you trying to solve for today? I have a sports injury. Great, here is pain relief, some braces and support, other recovery aids, and they pull it up online while you are in the store. That integrates the two technologies. A more advanced model would be dynamic shelving that evolves based on the shopper’s needs, where you punch in the two or three things you are solving for and the shelves rotate to present the right assortment. Thirty years from now, could we walk into something like an Apple store that is actually your grocery store, with just display products and everything curated for you live on the spot? It is far-reaching, but with technology, bright people, and good merchandising basics, it could become reality, maybe even in my lifetime.
Sathish:
“AI is changing product discovery, with people researching in tools like ChatGPT and Gemini before they ever arrive. How will that affect retail?”
Dave:
It affects manufacturers and retailers in a very big way, and the challenge is that depending on the agentic AI, the answers differ. Even if a retailer studied ChatGPT or Gemini and stocked the products it recommended, the next consumer will use a different prompt and a different engine and get a different assortment. I would encourage retailers to take a hard look at who they serve and how. The who has to be down to the individual now. You cannot say I will cater to everybody, or even to all 30 to 50 year olds, because we are all individuals. My biggest fear is for the wonderful brands in the tail, on the lower end of turnover. They will not get the notoriety on the AI engines and may not become part of the curated solution. Does a retailer still want to carry them? When a consumer walks in and says AI told me to buy this exact product, the retailer has to be equipped to say that is a great product, here is the one I carry that is exactly the same, let us make that part of your transaction. It is a slippery slope. The brands are at risk, retailers may not get the assortment right, and consumers are narrowing their view to a few very specific products that vary by prompt and engine.
Sathish:
“What are retailers getting wrong today that hurts their understanding of how consumers shop?”
Dave:
First, not looking at it holistically, not asking where they interact with the consumer and how the shopper experiences all of their presence. A retailer who is not looking at that today is falling so far behind it will be hard to catch up. Second, replacing customer-facing activities strictly with technology, whether self-checkout or a customer service bot, where the risk does not add up to the reward. A real example from this morning: I am planning a rail trip in Italy, I do not speak Italian, and I needed to change something. After 35 minutes on the online chat repeatedly asking for a live agent, I ended up with I hope this solved your problem, please give us a high rating. Unsatisfied. We are human, we need positive eye-to-eye contact, which is why I love podcasts like this. And third, more on the brick and mortar side, the biggest risk is putting barriers in the way of a transaction. If you are lucky enough to get consumers into your store and they find the right product, but it is behind glass, you frustrated me. If I get home and it is the wrong product and I cannot return it seamlessly, you frustrated me. How many at-bats before you strike out, Mr. Retailer?
Sathish:
“I have felt that pain. Even a razor at Walmart is locked behind glass with no employee nearby. Why protect something like that?”
Dave:
That is right. And the consumer standing in front of that locked case is on their phone searching for an online retailer that can deliver it to their doorstep, because waiting for a rep to unlock the case and then walk them to the register with a tag hanging on it that says do not steal this is not as nice as having a box show up at their door. The relationship-killing side effects of anti-theft are ruining the one-to-one trust retailers have with their customers. I know it is an unpopular belief and theft is a real problem, but I do not believe plexiglass and taking away the ability to self-select is worth the risk. It is human nature not to want obstacles put in front of things. I was never a good hurdler, and I do not want hurdles to a transaction either.
Sathish:
“If AI is not great at customer relationships, where can it play a big role and create positive outcomes for both retailers and shoppers?”
Dave:
The power comes from a collaborative relationship between human knowledge and AI’s breadth of historical knowledge and its ability to connect disparate dots. You need both. One example is solving problems that do not yet exist. Say I am a brick and mortar retailer opening in Panama City, Florida. AI can help guide the assortment, the in-store navigation, and how to factor in the weather trends and buying habits of that community, so I do not just plug in what worked in Detroit. Over-reliance on AI to simply speed up an existing process underutilizes its potential. I would spend far more time thinking about what I want to solve for and working collaboratively with AI on a problem that may not even exist yet. Do not speed up old technology with new technology, because you are just perpetuating your mistakes. I recently moderated an executive roundtable on AI and future education, and using AI to anticipate where the skills gaps will be was a powerful solution that would have taken us light years to figure out on our own.
Sathish:
“You have worked in retail supply chain. What weaknesses still exist that have not been solved?”
Dave:
A few factors. I used to frustrate manufacturers launching a product by asking what it looks like at the end of life of that product, when it is no longer relevant. What is your exit strategy? We are really good at pumping new product into the pipe and not good at managing end of life for products whose relevance has expired, so we have an overabundance of product in the marketplace. Second, we overreact when something disrupts the supply chain. We learned lessons during COVID, and then tariffs and issues with Canada come up and the same reaction begins, the sky is falling, we will not be able to get toilet paper. Have a safety valve, have Plan B, but do not overreact. Third is communication. In any relationship, finance and communication are the top two culprits, and supply chain has both. I have always approached supply chain partners as partners, not vendors. When you have an honest, transparent conversation about expectations and responsibilities, you build a good relationship. There is still a lot of distrust across the supply chain, so get on the same page and create a partnership, not a vendor-supplier-retailer trifecta.
Sathish:
“Can AI solve any of those supply chain problems?”
Dave:
I do. AI can look at supply chain disruption and should be a starting point for a lot of retailers because of the immense historical data and predictive analytics now available, giving us a look into the what-ifs. Another application is managing the assortment effectively. There was a time when retailers drew a mathematical line and cut any product below it, and the risk is that some individuals needed that product near the bottom of the list to solve their particular need. AI can take additional factors into consideration and produce an assortment plan that respects those relationships. The pure speed of AI looking at disparate data pools should not be underestimated. It will be a keen tool for every stakeholder along the supply chain.
Sathish:
“What separates retailers who successfully adopt new technology from those stuck in endless pilot projects?”
Dave:
That is a big question. I would answer it a couple of ways. First, be cautious about chasing a shiny object like AI and putting all your emphasis on letting it make your decisions, because that undervalues the knowledge, insight, human experience, and emotion that AI will never have. Overhyping AI as the holy grail is a risk. Second, it starts with the consumer. If we do not have a deep understanding of who the customer is that we are solving for, we are missing the boat, because then what are we prioritizing? The customer we are targeting and serving has to be at the center. If we solve for what he or she needs, the answer may be technology-driven, assortment-driven, supply-chain-driven, or service-driven, but as long as we do not lose sight of who our customer is, we will be all right. Do not replace the customer with a shiny object, and do not replace the customer with excitement about technology, because then you are just self-serving and never satisfying the shopper.
Sathish:
“How will AI change the retail workforce over the next five years?”
Dave:
There is an obvious fear that AI will replace workers. I believe the better approach is to understand the skill sets your workforce already has, look at what you want them to achieve, and use AI to fill the gap. That is how AI brings value and develops new skills rather than replacing people, because retail and brand marketing is relational, not technological. We need the humans, the knowledge, the sincerity, and the emotion of employees. But their skills were built on a legacy operational system. Define the future operating model, identify the gap between what they know today and what they will need, and use AI to fill it. It is workforce enhancement, reskilling, new knowledge, and growth. If a retailer told their workforce that AI is going to help build their base of knowledge to better serve the customer, and here is the gap we will use it for, employees would be empowered by that rather than shrinking in the corner fearing for their jobs.
Sathish:
“Is there a specific role that will transform significantly with AI that retailers should change now?”
Dave:
A low-hanging fruit is in-stock condition, which can be better managed and monitored using AI and robotics, maybe robots that do a nightly scan of out-of-stocks and feed back to someone trained in merchandising who can validate the thoughtful suggestions. We all know that if a consumer goes into a store and the product is not available, they have no choice but to buy it somewhere else. Merchandising is another. I retired from a company built on creating planograms, pictures of where products should go, which were laborious to build and full of human intel about assortment and placement. Could AI inform and create a better model? Go back to the Detroit retailer opening in Panama City. Doing that as a human research project takes someone on the streets doing the research and analysis and coming back with a plan three or four months later. AI should be able to do that in fifteen minutes. That is the power of using technology smartly, in concert with human intelligence.
Sathish:
“What should leaders focus on so they are not left behind as the industry changes?”
Dave:
I will be brief and go to two things I do not want to be afterthoughts: expectations and transparency. Leaders should identify what consumers expect from the experience they offer, define those expectations, and prioritize how to meet them, because if you stop understanding what is expected, someone else will fill the gap. On transparency, be transparent with customers on things like product sourcing. For our country’s 250-year celebration, it was important to my wife and me to find Fourth of July shirts made in America, and that sourcing was paramount to our decision. Be transparent on policies, procedures, returns, no surprises all the way to the basket before I find out the return policy. Manage to the expectations consumers have and be transparent every step of the way.
Sathish:
“What are the top areas leaders should invest in?”
Dave:
First, education. Manufacturers and retailers alike, do not overlook the incredible asset you have in your people. Invest in their growth, knowledge, and ability to serve the needs of tomorrow. Second, and I am speaking to retailers here, look long and hard at the interaction between all your customer-facing channels. If there is an online store and a brick and mortar, operate them as one. If there is social media or retail media, look at them collectively, because consumers thrive on consistent experiences. Third, invest in surrounding yourself with people who are not so close to the problem that they cannot see the answer, because it is easy to end up in a boardroom echo chamber. Bring in objective, experienced advisors and consumer input. And a fourth: to invest in the future, be willing to let go of the past. If you still think consumers walk every aisle of your store to fill a basket, lift your head up. They are not. They have done their discovery, they know what they need, and they want you to help them find it, not make it inconvenient.
Sathish:
“AI has leveled the playing field for small agencies. Does a small retailer have a chance to compete with Amazon or Walmart?”
Dave:
There was an old expression that you can never out-Walmart Walmart, and I do not think you can out-Amazon Amazon. By the time you match Amazon on assortment, their flywheel has moved on. If you put a store next to Walmart with the exact same assortment, you cannot win. So the question is what are the big retailers not doing effectively that you can do best? If you can be the best at something that is underserved or a blind spot for a bigger retailer, you can win. If you are a brand going toe-to-toe with a powerhouse ibuprofen product, look in the mirror and ask if you have the budget, time, and supply chain to do it, or whether you should narrow your focus to a specific customer whose need you can truly solve. Walk into any travel center and try to find a pain relief product differentiated just for truckers. It does not exist. If I had an ibuprofen product tailored to that clientele, I could be fat and happy with a brand serving a very unique customer. Retailers and brands do not have to out-Walmart Walmart or out-Amazon Amazon. They have to be smart, purposeful, and focused on which customer they serve.
Sathish:
“Is there a trend that retailers are missing or not accounting for?”
Dave:
A couple concern me. Retail media is one. I am a fan and there is a place for it, but it does not replace customer transactions and the real root of why we are in business. You can charge people to advertise, and that is powerful, but those dollars are a finite bucket, and at some point the value your audience brings will diminish. Serving the right customer at the right time repeatedly is a growth engine, not a finite one. On the positive side, weight management and healthy living now extend across everything, and this is not just a GLP-1 solution, it is for people purposefully improving their quality of life. If I lose two pant sizes, I am suddenly in the clothing realm of healthy living, yet how many clothiers focus on that transitional life change? Another is living well at home. With my white beard I will tell you that aging in place is a huge growth category, because people want to live vitally at home rather than move into assisted living. Some are leaning into these, but it is a slow churn, and there is real opportunity for retailers to get ahead of them.
Sathish:
“What will the shopping experience look like in the next five to ten years? Will it be easier?”
Dave:
I would not be a rocket scientist to say AI will be part of it. I think it will be technology-led and AI-driven, or some other iteration of AI, and with technology moving so fast it could change quickly. But most importantly it will be consumer-empowered. Think about it: 30 years ago online did not exist, 20 years ago doorstep delivery barely existed, 10 years ago drone delivery was a pipe dream, and one year ago we never thought an agentic AI would tell us what to pack for a trip. So five years from now we have to put the customer at the center, but they will be large and in charge. I would say it will be customer-enabled, not technology-enabled, and the human interaction will not go away. My hope is that the pendulum swings back so that face-to-face conversation like this is not a rarity but something we are inspired by, and that we use our creativity and innovation to get to the next level. Change is certain, and I cannot wait to see what five years brings, though at this rate it could happen in one.
