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August 25, 2025
Does a Disrupted Retail Sector Require New ‘Consumer Visionary’ Leadership in Merchandising?
In an recent article published by Forbes, contributor Jill Standish — senior managing director and global head of Accenture Retail’s industry group — made the case that retail disruption and uncertainty was the “new normal,” citing Accenture data which indicated more than half (54%) of consumers currently felt that way.
In light of this new and complex retail dynamic, Standish pointed toward the “rise of the consumer visionary merchant,” one who melds understanding of the human condition — as far as it pertains to buying behavior, more relevantly — with emerging AI tech to make “fast, informed calls.”
“However, it’s not just what people buy—it’s why. Curiosity about psychology and culture, paired with technology, turns insight into action that benefits customers and the business,” Standish wrote.
“Consider social commerce: platforms like TikTok Shop have erased the line between content and commerce. Feeds now feature live demos, shopping events, and creator recommendations,” she continued.
The ‘Consumer Visionary Merchant’ Role Demands Content Curation, Influencer Capabilities, and Brand Marketing Chops
Whereas historically it was possible for merchandisers or merchants more broadly to rely on comparatively static seasonal trends and cultivated supplier relationships — a paradigm upended, at least somewhat, by ongoing supply chain disruptions, a mercurial and moody modern consumer, and the impact of sociopolitical events on the retail business writ large — Standish suggested that the consumer visionary merchant had to wear two hats (or more) at once, serving as a content creator-slash-influencer as well as a tech-savvy AI operator.
First up, the content side. The emphasis was squarely placed on taking on “influencer” responsibilities — posting products on social media and exhibiting a deep degree of brand personality in doing so — in hopes of testing the waters on creative new ideas, pumping sales, and ultimately directing consumer behavior. Cohesiveness in messaging as well as by making sure all “emerging platforms and payment methods” were unified to produce a frictionless experience are key for Standish in terms of influence-driven performance at the end of the day.
AI, again the elephant in the room, was a necessary tool in the arsenal — utilized by this new era of merchants to “make teams more effective, while creating unique interactions that shape how people discover and buy products.” AI, and other tech stack options, are central in this model to empower team members at all levels to operate at top efficiency versus competitors.
“This is more than just deciding what products to carry; it’s about coordinating suppliers, technology platforms, and partners to create experiences that feel seamless and exciting. It’s also about using live data and insights to adapt instantly to trend, market, inventory, and consumer factors—dynamically adjusting curated assortments, layouts, and pricing to enhance local relevance and customer satisfaction,” Standish concluded.
The Four Pillars of the CVM Model, Explained in Brief
Standish proceeded to detail the four foundational pillars comprising the consumer visionary merchant role in ideal terms.
Decode the customer: A throughline running throughout the argument, the importance of making sure to unveil and demystify the customer’s motivations and emotions was made plain. The timely and relevant execution of actions based upon tracking of “emerging signals” coming from key demographics and consumer bases was also underscored, anchoring assortment, content, and service decisions around both the decoded data as well as the latest signals.
Automate to elevate: AI-based automation must be deployed to shoulder the humdrum daily “routine” work, freeing up time for merchants to strategize. “Connect digital and physical journeys, and build data capabilities for real-time decisions on content, pricing, inventory, and experience,” Standish stated.
Orchestrate connected offers: Differentiation was the name of the game, here, with curated and well-crafted value propositions being used as differentiators which connected with consumers though personalized engagement and appropriate appeals to emotion. Omnichannel brand consistency kept these pitches in key, and an appropriate product assortment serving “distinct missions and needs” could spur sales.
Delight at speed: An ongoing and unrelenting “test-and-learn rhythm” allows consumer visionary merchants to stay on top of the turbulent retail sector. Staying nimble, taking quick opportunity to leverage the latest trends and signals, leads to iteration which competitors may struggle to keep pace with. Above all — “create breakthrough moments that surprise, delight, and build loyalty,” Standish added.
Discussion Questions
Is Standish correct to suggest that the “consumer visionary merchant” is a competitive necessity in today’s, and tomorrow’s, retail marketplace? Why or why not?
What might be a pillar of the CVM approach to merchandising and operations which is being most obviously overlooked?
Is AI-driven merchandising poised to become a significant reality in the retail operational workflow? If so, what can existing merchants in the space do to differentiate themselves from automated solutions?
Poll
BrainTrust
Perry Kramer
Managing Partner, Retail Consulting Partners
Neil Saunders
Managing Director, GlobalData
David Biernbaum
Founder & President, David Biernbaum & Associates LLC
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Retail has always required, and always will require, merchants who truly understand consumers and their needs. The role of a merchant is to take that understanding, combine it with knowledge of sourcing and products, and create ranges that are relevant, compelling, and easy for shoppers to digest. When you look at many troubled retailers, some or all of these skills have been lost. The result is a hodgepodge assortment that feels bland and irrelevant. And that simply doesn’t cut it in a market where consumers demand real bang for their buck. Before we start talking about AI, I suggest we get the basics right.
It often seems that retailer leaders think about everything but understanding their customers.
Fashion retail has always been driven by chief merchants with vision, and creativity, with a willingness to fail occasionally built into the model. Part of the secret to long tern success, is when you do fail, do it quickly, learn and move on as noted in the Test and Learn rhythm noted above. The expanded use of AI and Digital tools throughout the design and manufacturing process will shorten learning time and product lead times.
Additionally, often overlooked is the use of AI in the physical presentation and adjacency of in-store products as well as the personalized recommendation engine in the digital channel as well as the full customer engagement lifecycle.
The proper use of these tools will allow retailers to maintain their current demographics a well as onboard new and younger generations of customers. Thus, avoiding the problem many brands that have a continually aging customer base face.
Wait…a consulting firm recommends that companies (essentially) need to hire more consultants? Hold the presses! (or whatever the modern equivalent is) I don’t dispute that retailers need people with vision, but when wasn’t that true? Probably the same time that retail wasn’t being “disrupted”…which is to say ‘never’.
Adapting to the rapid pace of technological advancements may be a challenge for retailers, which can require significant time and resource investments. Furthermore, there may be a learning curve associated with the understanding and use of AI-driven tools. A retailer should also ensure that their unique brand identity and customer service are not overshadowed by automated processes, maintaining a personal touch that differentiates them from solutions purely based on artificial intelligence.
The merchant basics have fundamentally changed. The traditional merchant who could succeed through buyer relationships and seasonal planning now needs the skills of a data scientist, content creator, behavioral psychologist, and trend forecaster rolled into one.
The four-pillar CVM model acknowledges the new reality. Today’s consumer behavior is highly tribal and contextual; a merchant needs to be part anthropologist and part ethnographer. Yet, you don’t need a new role or redefinition, but rather more pairings: traditional merchants with data scientists, content creators with supply chain experts, and behavioral analysts with brand marketers. For example, consider pairing a traditional fashion buyer with a social media analyst to decode how Gen Z discovers trends through TikTok versus Instagram. Future success requires a systemic, not individual, approach.
A couple of years ago the teamwork required between design, planning, buying, sourcing, the stores organization and marketing was difficult to orchestrate and execute. Those were the good old days. It is now more complex than ever, more difficult that ever and more critical than ever that silos be annilhilated and that very fluid communication is embedded between the teams 24/7/365.
I agree with a lot of what Ms. Standish writes. But not with the conclusion.
It seems that we are so enamoured by technology these days that we can’t even recognize the irony of recommending more technology to react to what we perceive as an over-reliance on technology. As Neil so correctly points out, retail, and specifically merchandising roles, require people to understand customers and their needs.
Full stop.
Speaking as a third-generation merchant (first time I actually realized this BTW), what my Dad said succinctly in his day, “Know your customers and give them what they want, when they want,” applies 100% today. What has changed is the amount of insights available to understand products, the supply chain, and demand signals, as well as the speed at which we can ingest that data and make decisions. The missing piece that successful retailers leverage and that their less astute, 100% data-driven competitors do not, is how to interpret this data to build assortments and strategies, from the perspective of their actual customer.
AI and other enabling technologies can amply and accelerate data-driven strategies. Still, these tools offer no guarantee that they’re aligned with the actual shopping habits of consumers and their preferences in the market. As Neil also points out correctly, without people who understand the market and the customers, retail assortments and offers quickly become the dog’s breakfast- they lack relevance, and do not connect with the customer.
Recommending more analysts and more consulting, and rebranding the Chief Merchant role, will not suddenly make a retailer “smart.” Having a Chief Merchant who understands a retailer’s customer base, stays current on market trends, and isn’t afraid to make changes and admit mistakes when they work (Looking at you, Ron Johnson) is more critical than yet another data model or shiny new tool.
The tools we have today are amazing, but, as they say, “use your powers for good.”AI isn’t a solves-everything tool; it’s an enabler that allows merchants and customers to access data quickly, but ultimately, it should be used to inform, not drive strategy.
Retail has always thrived when merchants combine creativity with a clear understanding of customers. What is changing today is the speed and complexity of consumer behavior, and that is where technology like AI can play a supportive role. Still, no tool replaces the judgment and intuition needed to curate products and experiences that feel relevant.
The conversation should not be about choosing between vision, technology, or fundamentals, but about how all three can work together. The retailers who strike that balance will be in the strongest position to navigate disruption.