Does Size Really Matter in Retail?
If you asked me to describe my ideal retail experience, I don't know if I would describe it based on dimensions. I imagine many of us wouldn't.
For example, I quite like the bright warehouse feel of an IKEA. Scandinavian minimalism in a maximalist box. But I am also thrilled when I encounter a funky mid-size boutique in Boston or Bastia.
Those places both sell me products, but their formats, budgets, security concerns, and even the quality of their meatballs (assuming the boutique sells them) could not be more different. Yet both can deliver great experiences.
Maybe considering my own flipside is helpful. I loathe a cavernous space lacking a story or a ready employee to answer a question. And that same boutique, with a pushy owner/employee, can be too much pressure.
So, in retail, which is it? Big and bold? Or small and unassuming?
One-Size Fits Most
What these great experiences have in common, and what the dreaded shopping experiences lack, is a sense of the customer. There is not a one-size-fits-all approach to getting customer-centricity right, though using data to make different strategies fit is almost universally accepted in the industry.
Now, you may be thinking: more tech is the last thing customer-centric retailers need! I wholly agree...in part.
What we've learned from a few heated years of automation is that technology can solve many challenges while also creating new ones. For brick-and-mortar retailers competing on more than product availability, experiences, service, and community matter more than ever. Those are not things you can leave entirely to the cold calculus of tech.
But in the cavernous DIY store with not an orange vest in sight, would the experience feel better if I could ask a stationary or mobile AI assistant which aisle I can find duct tape on? Would I feel less pressure if I could find a quirky gift in the boutique and self-checkout without the chit-chat?
The answer to both is probably yes.
Not because technology is replacing the human element of retail, but because it's helping retailers deliver the right experience at the right moment. Some shoppers want guidance. Others want independence. Most of us want both, depending on the day and the purchase.
Retailers are increasingly recognizing that understanding those shifting preferences is becoming a competitive advantage. That realization is driving experimentation with new forms of human-machine interaction in stores.
Experiencepocalypse or Experiencetopia?
There are a few futuristic, tech-heavy scenarios for where traditional retail may be headed:
Rise of the Agents: Human interaction no longer matters. Your personal AI agent buys an anniversary present for your spouse based on their search history and your online calendar. It’s delivered to your home by a self-navigating drone.
On-Site Assistance: Human-like interaction still matters. You explain an idea to generative AI installations in-store. You are guided through your journey purchase by a mix of humans and AI.
Retailers of all sizes, across categories and around the world, are already experimenting with variations of these models (or some combination of the two).
This level of human-machine interaction in physical retail spaces will only feel normal when the experience is seamless. When technology becomes a bewildering new friction point, retailers have already lost the game.
Data Feed
Of course, none of these scenarios work without data.
The benefits technology can bring to retailers are entirely dependent on the quality of the underlying data. Real-time. Historic. Accurate. Privacy-compliant. Insight-rich.
You might be thinking, "But of course the big retailers are already capturing enormous volumes of data. For them it's easy, they have big budgets. For the mid-size retailers, forget about it." To that I say: no and no.
POS and surveillance data are commonplace among retail giants but often fall short when it comes to powering real-time experience improvements. Meanwhile, advances in coverage technologies and edge AI processing are giving mid-size and smaller retailers increasingly cost-efficient ways to collect actionable operational data, manage labor costs, and automate processes. The recent case with Nordic jeweler Glitter is a great example.
And perhaps that's the real lesson. Retail experience has never been a question of size alone. Not store size. Not team size. Not technology budget.
The retailers that win are the ones that understand their customers and can act on that understanding. Sometimes that means a helpful employee. Sometimes it means frictionless self-service. Increasingly, it may mean AI that uses real-time data playing a bigger role.
Tags: | retail | people counting | staff management | in-store analytics | category optimization |
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