For a long time, retail technology was a back-office concern: the systems that kept the lights on while marketing and merchandising got the credit for competitive advantage. That’s no longer true. In 2026, the line between “the technology behind the store” and “the reason customers choose your store” has essentially disappeared.
Worldwide retail technology spending is projected to reach $388 billion this year, with AI-related investment growing nearly 25% annually. That’s not retailers chasing a trend; it’s retailers recognizing that eCommerce platforms, order management, point-of-sale, and store systems have become the actual mechanism for competitive advantage, not just the infrastructure behind it.
The gap between “it works” and “it competes”
Most retail organizations aren’t running on nothing; they’re running on something that was right for 2015 or 2018 and has been patched, extended, and worked around ever since. The eCommerce platform still processes orders. The Order Management System still routes inventory. The Point-of-Sale platform still rings up sales. None of it has technically failed. But “hasn’t failed” and “keeps pace with a customer who expects real-time inventory accuracy across five channels” are very different bars, and the gap between them is where competitors pull ahead.
A few shifts are making that gap harder to ignore:
Unified commerce is replacing “omnichannel” as the baseline expectation. Customers don’t experience “online” and “in-store” as separate systems, so increasingly retailers can’t run them that way internally either. The architectural pattern behind this, often described as MACH (microservices, API-first, cloud-native, headless), lets retailers sync inventory and customer data in real time across channels instead of reconciling siloed systems overnight or worse. Platforms and order management systems are increasingly judged on how well they support that real-time model, not just whether they process a transaction correctly.
AI in retail has moved from experimental to operational. The interesting AI work in 2026 isn’t a chatbot bolted onto a website; it’s agentic systems that manage inventory reordering on their own and demand-forecasting models that do quiet, unglamorous work in the background.
POS has stopped being just a checkout tool. Modern point-of-sale systems increasingly double as integration hubs, pulling together inventory visibility, customer data, and marketing in one place. Add computer-vision-based self-checkout and biometric payment options, and the POS terminal is doing meaningfully more work than it was three years ago, which means it needs meaningfully more integration and support than it used to.
Supply chains are being rebuilt for resilience, not just efficiency. The last several years have made clear that a supply chain optimized purely for cost is fragile. Retailers are re-architecting order management and warehouse systems to absorb disruption (multiple sourcing paths, better real-time visibility, faster rerouting) rather than assuming the smoothest path will always be available.
Where the work actually is
None of this means ripping out and replacing everything, and it shouldn’t. The retailers making real progress are the ones treating modernization as a scoped, prioritized set of projects, closing the specific gaps between what a system does today and what the business actually needs from it, rather than a single high-risk platform replacement.
That’s true across every layer of the stack: eCommerce and web platforms, order management and warehouse systems, in-store POS and kiosk technology, CRM and loyalty programs, and the business intelligence and merchandising systems tying it all together. Each of those has its own modernization path, risk profile, and timeline.
If you need support with your retail systems, ClearBridge can help!
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