Artificial intelligence is creating a new opportunity for retail: giving businesses of every size access to capabilities once available only to those with the biggest budgets and teams. For independent retailers, that can mean better forecasting, smarter decisions and a clearer understanding of customers without the resources traditionally required to achieve them.
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The opportunity is not for smaller businesses to imitate the largest retailers, but to use AI to compete on their own terms and amplify the advantages they already have: agility, personalized service and community connections. If adopted strategically, AI could make retail a more dynamic market where success depends not just on scale, but on how intelligently a business operates.
This matters far beyond retail executives. The stores in our communities determine what we can buy, how much we pay, which businesses get to grow and whether entrepreneurship remains a realistic path to independence. When smaller retailers disappear, we lose more than storefronts. We lose choice, local character, experimentation and the willingness to serve customers differently.
The pressure is real. PwC reported in June that roughly 20 U.S. grocery deals have closed annually since 2020, with 95 percent driven by corporate buyers. Consolidation is not inherently bad. Scale can create efficiencies and preserve struggling businesses. But if scale becomes the only reliable path to survival, the market eventually offers consumers fewer meaningful alternatives.
Leveling The Playing Field
This is where AI can change the equation.
For decades, large retailers have been able to surround their decisions with armies of analysts, planners, technologists, and operators. Smaller businesses cannot afford that structure. They often have the same basic software, the same data, and the same determination, but not the same bandwidth to turn information into action.
AI creates a chance to close that gap. The goal should not be to make an independent retailer behave like Walmart. It should be to give that retailer capabilities that were once reserved for companies with enormous budgets: faster analysis, better forecasting, stronger execution, and more informed decisions.
The technology is no longer theoretical. The U.S. Chamber of Commerce’s report found that 66 percent of small businesses now use AI, up from 23 percent in 2023. It also found that small businesses using AI are at least seven percentage points more likely to report sales, profit, and workforce growth. The question is no longer whether smaller businesses can use AI. It is whether they will use it strategically enough to compete.
AI Could Transform Retail Operations
That distinction matters because too many companies are treating AI as a collection of disconnected tricks: a chatbot here, an automated report there, a writing assistant somewhere else. That is useful, but it is not transformation. The real opportunity is to use AI as connective tissue, linking decisions to execution, data to action, and results to accountability.
Retail has spent decades building software silos. AI gives us a chance to finally break them down. Instead of forcing employees to jump between a maze of systems, AI can become a simpler interaction layer through which people get answers, make decisions, and trigger work. AI agents are a force reshaping both internal retail operations and the way consumers shop.
The alternative is ugly. If only the largest retailers develop these capabilities, AI will deepen their cost and productivity advantages. Smaller operators will face more pressure, more consolidation, and fewer ways to differentiate. Eventually, consumers pay the price through reduced choice and weaker local competition.
The better future is within reach: retailers of different sizes using intelligence to compete on their own terms, employees spending less time wrestling with systems, and owners gaining time to improve their businesses, as well as their lives.
Independent Retailers Must Act Now
But that future will not arrive by waiting for a perfect AI strategy. Retailers should start now. Pick the biggest operational or decision-making gap in the business. Test where AI can close it. Train people to use the tools well. Measure the result, and keep expanding what works.
AI is too powerful to become another moat around the biggest companies. We should use it to build bridges into the market instead.
Joseph Bullock is the CEO of FastQuery AI, an AI platform for retailers. He focuses on using AI to improve retail operations and customer experience.
The views expressed in this article are the writer’s own.