Retailers don't have a technology problem. They have an alignment problem. As AI and other emerging tools move from concept
Justin Lewis
May 15, 2025
The rise of AI has shifted from abstract idea to practical reality. Tools that once felt far-off or experimental are now part of everyday conversations and operations. Yet even as the technology becomes more accessible, many companies find themselves unable to integrate it quickly or meaningfully.
This isn’t because they lack resources. It’s because their internal systems aren’t built to move fast.
Retailers, especially those managing large stores, complex supply chains, or fast-moving e-commerce operations, are finding that traditional ways of working don’t support the pace of modern innovation. When the stakes are high, such as during the early days of the pandemic, teams find a way to launch digital services and new tools almost overnight. But when the stakes aren’t existential, progress slows to a crawl.
This gap between urgency and capability is where transformation stalls.
Most retailers face the same structural blockers when trying to modernize:
Let’s take a closer look at each.
Most companies are still structured around individual functions—marketing, merchandising, store ops, technology—each with its own roadmap and priorities. But today’s most important initiatives don’t live in a single department. They touch multiple areas, which creates friction and delay.
Reframing these functions as service layers can reduce the friction. Each team should be seen as enabling the one above it. Technology supports applications. Applications support store operations. Store operations support the customer experience.
This mindset encourages every team to plan ahead and build tools that other teams can use. For technology teams, that means developing shared services like APIs and data access tools before they’re requested. When these tools exist, other groups can move faster without waiting in line for development resources.
Planning ahead also helps with emerging technologies. A strong infrastructure team, for example, should already be thinking about what AI means for data strategy, server needs, and real-time access to information. This work makes it easier for application developers and innovation teams to build without delay.
Innovation can’t succeed in isolation. It works best when there is a close partnership between those who manage technology roadmaps and those who lead customer-facing work.
If your innovation team is producing great ideas and pilots but isn’t embedded within the business, it’s likely those ideas won’t scale. They may not even be deployable.
Consider a scenario where a retailer pilots a computer vision tool that identifies produce that needs to be removed from the sales floor. The pilot works. But scaling it requires more than just software. It involves cameras, mobile applications, store-level workflow, and support from corporate systems.
Unless technology leadership has already planned for edge computing, mobile deployment, and scalable databases, the innovation team will struggle to grow the pilot into a chain-wide capability.
When innovation teams are able to plug into pre-existing infrastructure, they gain the confidence to test and build, knowing their work will be scalable. And when the core technology team has anticipated what’s coming, the company doesn’t lose time reinventing the wheel every time a good idea comes along.
In large organizations, it’s common for hundreds or even thousands of projects to be running at once. Most roll up through executive portfolios, which gives the appearance of control. But many of the most valuable initiatives—especially those tied to process transformation or customer experience—cut across departments.
Managing this work doesn’t require a new PMO or a central command center. What’s needed is a clear, accessible view of what’s in flight. Not just names and timelines, but an understanding of purpose and value.
When leaders can see this full picture, they can spot overlaps, identify dependencies, and unblock priorities quickly. And when something stalls, it’s easier to trace the problem and resolve it without escalation.
A trusted advisory partner can play a helpful role here. Someone who understands how your organization really works can help speed up issue resolution without needing to work up and down the entire chain of command.
Retailers already know that technology can’t sit on the sidelines. What’s less obvious is that speed, structure, and visibility matter just as much as the tech itself.
The goal is not to chase trends. It’s to build internal systems that allow for continuous improvement, even when the stakes aren’t sky-high.
Start by shifting your structure. Eliminate the barriers that slow things down. Organize your teams to serve each other. Make it easier to experiment. Make it easier to scale.
The companies that do this well won’t just be the first to adopt new tools. They’ll be the ones able to turn new tools into lasting value.