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Beyond omnichannel: What genuinely connected commerce looks like — and why it's worth building

Why having multiple channels is no longer enough to meet rising customer expectations 

Blogs Commerce Artificial Intelligence

Over the past decade, most organisations have made substantial progress in expanding their channel presence. Websites, physical stores, marketplaces and mobile apps are now standard parts of the commerce mix.

On the surface, this looks like success. Customers can discover and buy in more ways than ever before. However, the experience behind those channels often tells a different story. 

Customers might browse a product online, only to find it unavailable in store. They may see one price on a marketplace and another on the brand’s own site. They may select a fulfilment option that appears available, only to be notified later that it cannot be fulfilled. 

These are not isolated issues, but symptoms of a deeper challenge. While channels have multiplied, the systems and processes behind them have not always kept pace. The result is a fragmented experience that becomes more visible with every additional touchpoint.

Why the omnichannel experience often falls short

Omnichannel strategies have traditionally focused on presence and accessibility. The goal has been to meet customers wherever they choose to engage. What has often been overlooked is how those channels are connected behind the scenes. 

In many organisations, core challenges remain: 

  • Product data is managed separately across platforms, creating inconsistencies 
  • Inventory availability is not synchronised in real time across locations 
  • Fulfilment decisions are made independently of the customer interaction 

This leads to a disconnect between what customers see and what the business can deliver. As organisations continue to add channels without addressing this underlying complexity, the gap between expectation and execution widens. 

The impact of inconsistency

As customers move more freely between channels, inconsistencies are no longer hidden, but amplified. Global research shows that 80% of consumers now use multiple channels to complete a purchase. 

This means customers are actively comparing experiences across touchpoints, often within the same transaction. When those experiences do not align, the consequences are immediate: 

  • Lost sales when customers encounter friction or uncertainty 
  • Reduced trust when information does not match across channels 
  • Increased pressure on service teams to resolve inconsistencies 

Each of these outcomes carries both a commercial and reputational cost. 

What connected commerce actually means

Connected commerce moves beyond channel expansion and focuses on alignment across the entire operating model. 

It requires organisations to bring together: 

  • A unified view of product, pricing and availability 
  • Integrated fulfilment and service processes 
  • Consistent data flows across commerce, ERP and inventory systems 

This creates a foundation where customer-facing interactions are directly connected to operational execution. Instead of managing channels independently, organisations operate as a single, coordinated system.

How AI-driven coordination enables consistency

Managing this level of coordination manually is increasingly difficult as complexity grows. Agentic approaches allow organisations to orchestrate decisions across systems in real time. 

AI agents can: 

  • Ensure product and availability information is consistent across all channels 
  • Coordinate fulfilment decisions based on inventory position, demand and constraints 
  • Respond dynamically to changes in demand or supply conditions 

This enables a level of alignment that traditional processes struggle to achieve. It also ensures that what customers see is accurate, actionable and consistent, regardless of how they engage. 

The shift from omnichannel to connected commerce is not about adding new touchpoints. It is about aligning the ones that already exist. It requires organisations to move from: 

  • Channel-specific data to a unified data model 
  • Sequential workflows to connected, real-time processes 
  • Reactive decision-making to coordinated execution 

Those that make this shift are better positioned to deliver the consistency customers increasingly expect as standard. They are also able to operate more efficiently, with fewer manual interventions and greater control over outcomes. 

Want to learn more about connected commerce?

Read our Agentic Commerce eBook to explore what connected commerce looks like in practice and what it takes to get there.

Learn more

Frequently asked questions

What is the difference between omnichannel and connected commerce?

Omnichannel focuses on operating across multiple customer touchpoints, while connected commerce aligns the data, systems and processes behind those touchpoints.

Why is omnichannel no longer enough?

Because customers expect consistent, accurate experiences across every interaction, not just access to multiple channels.

How are customers actually shopping today?

80% of consumers now use multiple channels to complete a purchase.

What are the risks of disconnected channels?

Inconsistent product information, inaccurate availability and disconnected fulfilment decisions lead to lost sales, reduced trust and higher operational cost.

What enables connected commerce in practice?

A combination of unified data, integrated systems and real-time coordination across the entire customer and operational journey.

How does AI support this shift?

By enabling real-time decision-making and coordination across systems, ensuring that customer experience and operational execution are aligned.

Read next

Blog

AI in Retail: Why AI Fails Without Connected Data

AI initiatives often underperform because they rely on fragmented, inconsistent data. This blog explores why connected, real-time data across commerce, ERP and inventory systems is critical to unlocking reliable AI outcomes and enabling true agentic commerce.

Read more
Resource

The shift to agentic commerce

Explore how AI agents are reshaping operations, customer experience, and the way organisations buy and sell – with practical examples and grounded next steps. 

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Blog

Closing the Retail Inventory Visibility Gap with AI

Many retailers still rely on fragmented inventory data, leading to inaccurate stock availability and costly fulfilment issues. This blog explains how AI-driven inventory coordination aligns real-time data across systems to improve accuracy, reduce costs and meet customer expectations.

Read more
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