Omnichannel retail is a decision-making challenge

Modern retail is often described through channels: wholesale, ecommerce, stores, pop-ups, marketplaces, apps and emerging agentic experiences. But for customers, those distinctions rarely matter. They expect one connected brand experience.

The operational challenge sits behind that expectation. Every customer promise depends on thousands of decisions happening across systems: whether inventory is available, which channel gets priority, whether a store should fulfil an online order, what product should be shown, and how quickly the brand can respond.

When those decisions are fragmented, customer trust breaks. A product appears available online but is not in store. An order is accepted and then cancelled. A pickup promise is made but cannot be kept.

For the DELIVER Europe 2026 community, this is one of the defining challenges of omnichannel commerce. Retail is no longer just about selling products. It is about making accurate, connected decisions at scale.

Customers see one brand, not internal complexity

Retail organisations often evolve around channel structures. Wholesale teams, DTC teams, ecommerce teams, store teams and omnichannel teams all build their own processes, priorities and systems.

That structure may work internally for a time, but it does not reflect how customers behave. A customer may discover a product through a digital experience, compare options online, visit a store, register through an app, buy through another channel and expect every part of that journey to feel connected.

This creates pressure on the technology stack. Inventory, customer data, pricing, merchandising, returns, fulfilment and experience layers all need to work together. If the architecture is fragmented, the experience becomes fragmented too.

The strategic question is not simply how to add another omnichannel feature. It is how to build the operating foundation that allows every channel to make decisions from the same source of truth.

AI cannot fix weak foundations

AI is becoming central to retail technology conversations, but its value depends on the quality of the system beneath it.

Applied to a fragmented operating model, AI does not automatically create efficiency. It can accelerate confusion. If data is inconsistent, ownership is unclear and processes are disconnected, AI may simply make poor decisions faster.

That makes technical judgement more important, not less. Retailers need to understand what they want their software to do, which decisions matter most, and where data ownership should sit. Without that clarity, technology roadmaps can become vendor-led rather than business-led.

For retail leaders, the implication is clear. AI should not be treated as a shortcut around foundational work. It should be used to accelerate decisions once the architecture, data and ownership model are strong enough to support it.

From systems to decision engines

The shift On is exploring is a move away from isolated systems and towards decision engines.

That means bringing core capabilities into a more unified platform: inventory visibility, pricing, customer data, merchandising, recommendations and fulfilment logic. On top of that foundation, channels can draw from the same trusted data and decision layer, whether the experience is ecommerce, retail, agentic, internal or marketplace-led.

This approach reframes omnichannel transformation. The goal is not to force every customer journey into one rigid model. The goal is to ensure that every journey is powered by the same reliable intelligence.

Once that foundation is in place, AI becomes far more useful. It can support orchestration, decision-making, fulfilment logic and customer experience personalisation because it is working from a cleaner, more connected base.

Stores are becoming experience and community platforms

On’s retail footprint highlights another important shift: stores are no longer only points of sale.

Flagship stores can act as brand experience centres. Community stores can become gathering places for runners and local customers. Physical retail can create energy, belonging and product engagement that extends into the digital journey.

This matters because omnichannel is not only a technology challenge. It is also a brand and community challenge. The store has to connect into the wider operating model, but it also has a role in creating emotion, loyalty and participation.

For retail brands, the opportunity is to turn physical locations into connected nodes in the customer journey — places where experience, service, fulfilment and community reinforce one another.

Operational velocity is the competitive advantage

The next phase of retail advantage will not be defined by who owns the most systems or adopts the most AI tools.

It will be defined by operational velocity: the ability to make better decisions, faster, across the whole organisation.

That requires clear data ownership, unified platforms, strong architecture and internal teams with enough technical judgement to challenge complexity. It also requires discipline. Retailers need to avoid building overly sophisticated systems that try to solve everything at once and instead focus on simple foundations that work across the business.

For the DELIVER community, this is a timely reminder. Omnichannel, AI and supply chain transformation are not separate agendas. They are part of the same system. The brands that win will be those that connect technology, operations and customer experience around decisions that can be trusted at scale.