Retailers rarely struggle to see the need for better commerce technology.
Retailers rarely struggle to see the need for better commerce technology. The harder truth is that new platforms alone do not create speed. When release cycles are slow, teams are siloed and accountability is fragmented, even strong technology investments can underdeliver. Faster digital delivery comes from modernizing the operating model as deliberately as the platform itself.
That pattern is clear in retail transformations where the goal was not just to launch a new site, but to build the organizational capability for continuous change. In one major sports retail transformation, the initial business need was to support new omnichannel services such as buy online, pick up in store and more streamlined digital ordering. Delivering those experiences required cloud modernization and order management redesign, but it also required restructuring teams and processes for greater agility. The result was not simply a better commerce stack. It was a more customer-focused way of working that helped the business improve integration across inventory, order management and fulfillment while dramatically accelerating order processing during peak demand.
This is the shift many retailers still need to make. Legacy operating models were designed for large, infrequent releases, specialized handoffs and heavy coordination across separate functions. That approach creates drag at every stage. Business teams wait on technical teams. Engineering teams wait on approvals. Releases become high-risk events. And innovation slows because every change has to navigate the same maze of dependencies.
Modern retailers need a different model: smaller cross-functional teams aligned to customer and business outcomes, supported by governance that enables speed instead of blocking it. Agile squads, product engineering and shared accountability change how work flows through the organization. Rather than treating commerce as a sequence of projects, retailers begin to manage it as an evolving digital product.
Carrefour offers a powerful example of what this looks like at scale. Faced with fragmented digital assets and organizational silos, the company consolidated more than 350 separate digital projects into a unified foundation and agile squads. That was more than a delivery adjustment. It was an operating model reset. Integrated, diverse teams were able to move away from large, infrequent releases and toward more frequent improvements driven by customer evidence. Within six months, the first version of the new e-commerce platform was live. More importantly, the pace of change continued after launch, with teams able to deliver enhancements every day without downtime.
That kind of sustained velocity depends on the right architectural choices, but architecture only creates potential. Cloud-based, API-driven, headless and composable models make it easier to change individual components, scale independently and introduce new capabilities without reworking the entire platform. They reduce the maintenance burden that keeps teams stuck in reactive mode. They create room for experimentation. But unless the organization is structured to use that flexibility well, the benefits remain theoretical.
A large retailer that moved away from a legacy on-premises commerce platform to Google Cloud illustrates this connection clearly. With a headless approach using microservices and API management, the business cut enhancement turnaround from five weeks to one and increased release frequency dramatically. That kind of improvement is not just a technical performance story. It reflects a delivery model that can act on modular architecture, make updates at will and support experimentation without destabilizing the broader environment.
Coppel shows the next level of this evolution: how to build internal capability while modernizing at enterprise scale. The retailer needed to reach ambitious digital revenue goals, but its aging platform and rigid change processes made that difficult. Publicis Sapient worked with Coppel to modernize both the commerce foundation and the operating model behind it. The new environment introduced a composable architecture built around flexible commerce, content and headless experience layers. At the same time, the transformation established an Architecture Review Board, defined operating rhythms through Center of Excellence leadership and used a cross-functional pilot team to validate the new model before broader rollout through structured training.
That sequence matters. Many retailers try to scale new ways of working all at once. A more effective path is to prove the model in practice, create governance that supports quality and speed, then expand through capability building. In Coppel’s case, the organization did not just receive a modern platform. It gained faster release cycles, clearer governance, stronger delivery discipline and a foundation for extending the same approach into supply chain, point-of-sale and order management.
This is where product engineering becomes especially important. Traditional project models often end at go-live. Product engineering assumes the opposite: go-live is the beginning of ongoing evolution. Teams are organized around outcomes, not only implementation milestones. They combine product, strategy, engineering, experience and data capabilities in ways that reduce handoffs and improve accountability. Decisions are made closer to the work. Customer feedback can be acted on faster. And improvements become incremental, evidence-based and continuous.
For retailers, that shift changes the economics of digital investment. Instead of spending disproportionate time maintaining legacy environments or coordinating across disconnected teams, organizations can redirect energy toward innovation, testing and customer value. Faster experimentation becomes possible because teams can launch, learn and refine without waiting for the next major release window. Accountability improves because ownership is clearer across journeys, platforms and operational outcomes. And commerce evolution becomes continuous rather than episodic.
Governance still matters in this model, but it changes form. In slower organizations, governance often appears as layers of review added to control risk. In modern operating models, governance creates guardrails for speed. Architecture boards, shared standards, common operating rhythms and integrated reporting help teams move faster with confidence. The goal is not less control. It is better control: visible, consistent and aligned to business outcomes.
Retailers that modernize this way are better positioned to handle both growth and volatility. They can support peak demand with more resilient systems, launch new customer offerings without months of coordination and adapt their digital business as expectations change. They are not only running modern commerce platforms. They are operating like digital businesses.
That is the real transformation opportunity. Cloud, composable commerce and modern engineering practices are powerful enablers, but their full value appears only when matched with new ways of working. Retailers that connect platform choices to agile squads, product engineering, cross-functional collaboration and fit-for-purpose governance build more than delivery speed. They build the internal capacity to keep improving, keep experimenting and keep evolving long after the initial modernization is complete.