ECommerce Trends Every Business Should Know About

Retail and eCommerce businesses are not short of emerging trends.

The harder question is which developments will materially change how they compete, operate and grow.

AI-assisted discovery, conversational commerce, visual shopping tools and increasingly flexible technology platforms are creating new ways to reach customers. They are also placing greater demands on the operations behind the experience.

More channels. Faster expectations. Greater complexity.

The opportunity may be customer-facing. The constraint is often operational.

A new platform, payment method or digital experience can attract demand quickly. Supporting it consistently, across peak periods, markets and customer journeys, requires more than the right technology. It requires:

Accurate and accessible data
Integrated systems and workflows
The right specialist capability
Clear ownership and governance
Performance measures linked to business outcomes

Without those foundations, digital investment can add cost and complexity without delivering consistent improvements in accuracy, cycle time, customer experience or cost efficiency. The trends shaping eCommerce need to be assessed through two lenses: where customer behavior is moving, and whether the operating model is ready to respond.

Content Guide

Voice search and AI-powered product discovery
Augmented reality and visual commerce
Conversational commerce and AI agents
Social commerce and shoppable video
Headless and composable commerce
More payment options and stronger fraud controls
Outsourcing as a performance and capability lever
Turning eCommerce trends into operational advantage

1. Voice search and AI-powered product discovery

The customer may not begin their search on your website. They might ask an AI assistant to compare products, use voice search to find a specific item or rely on a marketplace recommendation to narrow down their options. By the time they reach a retailer, they may already have a shortlist in mind.

This makes product discovery less about one search channel and more about how easily different platforms can understand and surface your products.

Adobe reported a significant year-on-year increase in traffic from generative AI tools to U.S. retail websites during the 2025 holiday season.

The overall share of traffic remains relatively small, but the growth suggests that AI-assisted shopping is becoming a more established part of the customer journey[1].

Product data is becoming a visibility issue. AI tools, search engines and marketplaces can only work with the information available to them. For retailers, this puts greater emphasis on having:

Complete and accurate product attributes
Consistent titles, descriptions and categories
Current pricing, inventory and delivery information
Clear sizing, compatibility and product-use details
High-quality images and supporting content

If a platform cannot understand a product clearly, it may not include it in the customer’s consideration set. Google is also developing reporting that helps merchants understand how products appear across AI-powered shopping experiences and where missing attributes may be limiting visibility[2].

Voice search remains relevant, particularly for quick and local searches. However, the broader priority for retail and eCommerce leaders is ensuring that product information is structured, consistent and reliable wherever discovery takes place.

2. Augmented reality and visual commerce

For many online purchases, the biggest barrier is not price. It is uncertainty. Will the sofa fit in the room? Is the appliance the right size for the space? Will the glasses or makeup shade look right in person?

Augmented reality can help customers answer those questions before they buy.

The value of AR is not the novelty but the confidence it can give customers when standard product images are not enough.

A 2025 study of a home-interior retailer found that AR was particularly useful for larger products, where customers often find it harder to judge size and spatial fit online[3]. That makes visual commerce most relevant in categories where customers need to understand:

Size and proportion
Fit or appearance
Placement within a physical space
Compatibility with other products
How an item may look in real-world use

The experience must be accurate. AR can reduce uncertainty, but only when the digital representation is reliable. Incorrect dimensions, unrealistic visuals or incomplete product information can give customers false confidence. Rather than preventing a poor purchase, the technology may create expectations that the physical product cannot meet.

Research presented at the 2025 European Marketing Academy conference found that AR could help reduce returns when it represented product size accurately. Where sizing was less reliable, the results were mixed because the experience could inflate customer expectations.[2]

For retail and eCommerce leaders, the decision is therefore not simply whether AR is available. The more useful questions are:

Does product uncertainty affect conversion or returns in this category?
Can the product be represented accurately?
Are the required measurements, images and 3D assets reliable?
Will the experience make the purchase easier or simply add another step?
Can its impact be measured through conversion, returns or customer satisfaction?

Visual commerce can be valuable where customers need more context before buying. But the strongest implementations solve a clear purchasing problem rather than adding technology for its own sake.

3. Conversational commerce and AI agents

Chatbots were once designed to answer a limited set of questions. Today’s AI agents can do much more. They can help customers compare products, check availability, track an order or begin a return, all within the same conversation. Salesforce found that 64% of shoppers want quick answers to product questions, while 55% would consider using an AI agent to complete a return or exchange[5].

The real opportunity is not a more human-sounding chatbot but a faster route to the right outcome.

Start with the moments that create friction. Conversational commerce is most useful when it makes a common task easier:

Finding a product that meets specific requirements
Confirming stock, delivery or collection options
Explaining promotions and loyalty benefits
Tracking or changing an order
Starting a return or exchange
Passing a complex issue to the right person.

The last point matters. Not every interaction should remain with AI. Customers may be comfortable using an assistant to research products or resolve a straightforward request. They are less willing to give up control when information is uncertain or a decision carries greater financial or personal significance.

A Gartner survey found that consumers generally wanted AI to help them compare options and narrow their choices, not make the final purchasing decision for them. More than half of recent users said they had to verify all the information the AI provided[6].

A useful conversation depends on what sits behind it.

An AI agent cannot provide a reliable answer if it is working with incomplete product information, disconnected systems or outdated policies. Retailers need to consider:

Which data and systems the agent can access
Which actions it is permitted to complete
How responses will be checked for accuracy
When a conversation must be escalated
Whether the customer’s context transfers to the human team
How resolution, satisfaction and errors will be measured

A poor handover can undo the convenience created earlier in the conversation.

Conversational commerce works best when AI handles simple, repeatable interactions and makes it easier for people to step in when judgment, empathy or exception handling is required.

4. Social commerce and shoppable video

Social media is no longer just where customers discover products. Increasingly, it is also where they compare, evaluate and buy them. Creator demonstrations, customer reviews, livestreams and shoppable videos can bring several stages of the buying journey into a single feed.

DHL’s survey of 24,000 online shoppers across 24 markets found that seven in ten had already purchased through social media[7]

The sale may happen in the feed. The customer experience still depends on the retailer behind it.

A shorter journey creates less room for error. Shoppable content can move customers from interest to purchase quickly. That is part of its appeal. However, the shorter journey also means product information, inventory and pricing need to remain accurate across every channel. A customer should not discover an item in a video only to find that it is unavailable, incorrectly described or offered under different terms at checkout.

Retailers need to connect the content customers see with the operations that fulfil the promise:

Product information: Are specifications, images and claims accurate?
Inventory: Is availability updated across platforms?
Pricing: Are promotions and discounts applied consistently?
Fulfilment: Can sudden increases in demand be handled?
Returns: Is the process clear when purchases occur through another platform?
Measurement: Can the business connect social activity to sales, margin and repeat purchases?

Content cannot compensate for weak execution. PwC’s Retail Monitor 2026 found that social commerce affects far more than marketing. It also places demands on technology, fulfilment, data and compliance. Among customers reporting a negative experience, 35% cited long delivery times and 25% said the product did not meet their expectations[8].

This is an important distinction for retail leaders. A successful post or creator partnership may generate demand, but it does not guarantee a successful customer outcome. Shoppable video works best when content, commerce and operations are connected. The objective is not simply to create more videos or chase viral reach. It is to give customers a clear, credible route from discovery to purchase and then deliver the experience they were promised.

5. Headless and composable commerce

For many retailers, the problem is not a lack of ideas but how long it takes to put them into market. A new checkout feature, loyalty experience or sales channel may sound straightforward. In practice, changing one part of a tightly connected commerce platform can affect several others, turning a useful improvement into a lengthy technology project.

Headless and composable commerce aim to reduce that dependency. Instead of relying on one platform to manage every capability, retailers can change selected parts of their technology stack without rebuilding the entire customer experience.

The business value is not having more technology but being able to change the right technology without disrupting everything else.

A more modular approach can make it easier to:

Introduce new customer experiences across web, mobile and other channels
Replace a search, content or checkout capability that is no longer performing
Connect specialist tools without waiting for a full platform upgrade
Test and release improvements more frequently
Integrate new AI capabilities with existing commerce systems

MACH Alliance research found that the most commonly reported benefits of composable technology included improved customer experience, better integration and automation, and greater organizational agility[9]. That flexibility is becoming more relevant as retailers move AI initiatives beyond isolated experiments. In separate 2026 research, the MACH Alliance found that organizations with more mature composable architectures were more likely to report that they could deploy and scale AI successfully[10].

Flexibility can introduce a different kind of complexity. Composable commerce is not automatically the right answer for every retailer.

Replacing one large platform with several specialist components can create more vendors, integrations and operational dependencies to manage. The business needs clear ownership of the overall architecture, not just ownership of each individual tool.

Before moving further toward headless or composable commerce, leaders should ask:

Which current limitations are materially affecting growth or customer experience?
Does the business need greater flexibility across the full platform or only in selected areas?
Who will own integration, security and performance across the stack?
Does the internal team have the capability to manage a more modular environment?
Will the change reduce the cost and effort of future improvements?

The aim should not be to create the most sophisticated architecture but to build a commerce environment that is easier to change, reliable to operate and appropriate for the business’s level of complexity.

6. More payment options and stronger fraud controls

Customers rarely think about payment strategy. They simply expect their preferred method to work. That preference now varies widely by market, device and customer group. Digital wallets alone accounted for 56% of global eCommerce transaction value in 2025, making them a core part of online checkout rather than an alternative payment method[11].

But adding more logos to a checkout page is not a strategy.

The goal is not to offer the longest list of payment methods but to offer the right choices, reliably and securely.

Choice at checkout creates work behind it. Every payment method introduces its own requirements for integration, authorization, settlement, refunds, reporting and customer support. Retailers therefore need to assess more than customer demand. They also need to consider:

Do customers in this region use the payment method?
Are checkout transactions approved quickly and reliably?
What are the fees, settlement terms and operating costs?
Can returns, disputes and chargebacks be managed efficiently?
Can finance teams trace transactions accurately across channels for reconciliations?
Are fraud, access and escalation controls appropriate for the transaction?

This becomes more important as retail and eCommerce businesses expand across markets, platforms and payment providers. A fragmented payment environment can create blind spots if ownership, controls and reporting are not consistent.

Convenience and control need to grow together. Payment choice can make checkout easier. It can also increase the number of systems, data flows and transaction types that need to be monitored. Payment processing and financial reconciliation are particularly vulnerable when controls are applied inconsistently. Effective oversight requires clear fraud thresholds, defined escalation timelines, accurate reporting and visible ownership of each critical control.

A faster checkout should not come at the expense of traceability. Retailers should measure payment performance across the full transaction, not just whether the customer reached the confirmation page. That includes approval rates, failed payments, fraud losses, chargebacks, refund times and reconciliation accuracy. The best payment strategy gives customers meaningful choice while ensuring that the business can process, monitor and reconcile each transaction with confidence.

7. Outsourcing as a performance and capability lever

Growth creates operational pressure quickly in retail and eCommerce. A new marketplace, campaign or product range can increase customer contacts, catalogue updates, reconciliations and technology work before the business is ready to add permanent capacity. Outsourcing can help close that gap. But the business case is no longer limited to lower labor costs.

Organizations increasingly expect outsourcing partners to provide specialist talent, scalable capacity, process expertise, automation and greater operational flexibility.

The right question is not simply, “What can we outsource?”

But “Where is capacity, capability or process discipline limiting performance?”

Where outsourcing can add value depends on the business constraint, retailers may build external teams across:

Customer service and order support
Product catalogue and marketplace operations
Finance, refunds and payment reconciliation
Data management, analytics and reporting
Software development and platform support
Cybersecurity and technical operations

The model should match the work. Seasonal demand may require flexible capacity. A shortage of technical skills may call for specialists embedded within an internal team. A stable, repeatable process may be better suited to a managed service with defined outcomes.

Results depend on how the model is designed. Outsourcing will not fix unclear ownership, inconsistent processes or poorly defined measures.

Before work moves, the business needs to establish:

What is in and out of scope
Which decisions remain internal
How teams and systems will be integrated
Who owns performance and escalation
Which outcomes will determine success

The Shared Services & Outsourcing Network research emphasizes that high-performing partnerships align on outcomes, decision rights, escalation paths and continuous improvement from the beginning.

That means moving beyond headcount and activity measures. Depending on the function, retail and eCommerce leaders might track first-contact resolution, order accuracy, backlog levels, refund turnaround, customer satisfaction, cost-to-serve or platform performance. These measures show whether the model is improving the operation not simply whether tasks are being completed.

Accountability also remains with the retailer. Where external teams handle customer data, payments or financial processes, access controls, fraud thresholds, reporting responsibilities and escalation timelines must be designed into the operation rather than added later.

Outsourcing creates the most value when it solves a defined constraint and operates as an integrated part of the business. Without that foundation, it can move an existing problem rather than resolve it.

Turning eCommerce trends into operational advantage

Retail and eCommerce leaders do not need to adopt every emerging trend. They need to identify which developments are most relevant to their customers, growth priorities and operating model. Technology creates the opportunity. Execution determines the outcome. Whether the focus is AI-assisted discovery, visual commerce, new payment methods or a more flexible delivery model, success depends on having the right data, systems, skills, processes and governance in place. Outsourcing can help strengthen capacity, capability and performance but only when the scope is clear, teams are integrated and results are measured against meaningful business outcomes.

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