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5 examples of how digital transformation can improve customer experience

What does digital transformation mean in 2026, and how can it be used to enhance the customer experience.
Jing Li

Last updated by Jing 

Jan 20, 2026

Originally written by Jing

5 examples of how digital transformation can improve customer experience

Every year, we find ourselves talking about digital transformation again. Not because it’s a trend that won’t go away, but because transformation, by nature, never really stops.

Digital transformation is an organization-wide shift in how companies create, deliver, and capture value using digital technologies. At its core, it’s about keeping pace with changing customer expectations and designing experiences that feel relevant, connected, and easy to navigate across every touchpoint.

Customers increasingly expect brands to understand their needs and consistently support them. Research shows that 73% of customers expect brands to recognize their expectations, and more than half are willing to switch after a single poor experience.

The real opportunity for businesses lies in removing friction across the customer journey and giving customers greater control. In this article, we explore what’s driving digital transformation in 2026 and how it’s reshaping customer experience.

#Key drivers of digital transformation in 2026

Digital transformation is no longer optional. As customer expectations rise and technology evolves faster than ever, companies must continuously adapt how they operate and deliver value.

What’s different in 2026 is not whether organizations need to transform, but how they do so. The focus has shifted toward scalable personalization, unified content and data systems, and AI-driven experiences that meet customers in real time.

AI adoption (...and the pressure to justify investment)

AI is becoming a common component of customer experience, supporting areas such as search, recommendations, and customer support. With 86% of customers open to AI and 44% preferring automated services over speaking to a human agent for simple needs, brands are increasingly using AI to handle high-volume, low-complexity interactions, allowing their employees to focus on more complex customer requests.

At the same time, organizations are under growing pressure to justify AI spend. Despite tens of billions invested in generative AI across enterprises, many teams are still struggling to translate experimentation into measurable returns. In 2026, the challenge is to use AI meaningfully, improving relevance, reducing friction, and delivering clear value to customers.

Greater reliance on first- and zero-party data

As third-party cookies disappear, organizations are being forced to invest more heavily in experiences that encourage customers to share data directly. Deloitte reports that 61% of high-growth companies are shifting toward a first-party data strategy.

In parallel, zero-party data—information customers intentionally and proactively share—has become increasingly important. Preferences, intent signals, and self-declared needs allow brands to design experiences that are not only personalized but also transparent and trust-based. Companies that combine first- and zero-party data effectively are better positioned to deliver consistent, privacy-first customer experiences.

The need for unified content and data platforms

Customer experience often breaks down when content and customer data are fragmented across disconnected systems. Many organizations still manage content in a CMS, customer details in a CRM, transactions in an eCommerce platform, and behavior data in analytics tools, making it difficult to deliver coherent, end-to-end experiences.

In 2026, unifying content and data is less about system consolidation and more about experience continuity. Teams need platforms that allow content, context, and customer signals to flow together, so experiences remain consistent across channels and touchpoints.

Personalization that prioritizes relevance over complexity

It is reported that 71% of customers expect personalized interactions, and 76% become frustrated when those expectations aren’t met. In a world shaped by AI-driven platforms and social media, personalization is becoming a baseline expectation.

However, personalization in 2026 is less about doing more and more and more about doing what matters. Over-engineered personalization can quickly become noisy or intrusive. The real goal is relevance: delivering the right information, at the right moment, in the right context, without overwhelming the customer.

#What does digital transformation mean for customer experience in 2026

Digital transformation directly shapes how customers experience a brand. In 2026, this means delivering consistent, personalized, and always-on experiences across platforms without forcing customers to adapt to internal systems or disconnected channels.

Human-first AI transformation

AI is rapidly reshaping customer experience, but lasting transformation requires a human-first approach. While AI can automate workflows, enhance discovery, and support personalization at scale, it works best when it augments human decision-making rather than replacing it outright.

As AI continues to raise expectations around speed and efficiency, the baseline for what “good” looks like keeps shifting. Organizations that treat AI as a force multiplier for people, not a shortcut around them, are better equipped to scale digital experiences without compromising trust or quality.

Data-enabled customer insights

Personalization in 2026 starts with data. Meaningful customer insights emerge when users are willing to engage, stay longer, and share information directly on a brand’s own platforms.

Digital transformation enables this by creating experiences that customers actually enjoy using, making it easier to collect first- and zero-party data through transparent, value-driven interactions. When content, customer data, and behavioral signals are unified, teams can reuse these insights across systems to continuously improve relevance and timing.

Rather than relying on third-party signals, organizations can leverage insights generated within their own platforms to shape content, journeys, and experiences that better reflect real customer intent.

Omnichannel content delivery

Customers don’t think in terms of channels. They expect continuity as they move between devices and touchpoints, whether on desktop, mobile apps, social platforms, chatbots, or even physical locations. When content is fragmented across systems, these transitions break down, forcing customers to repeat actions or relearn information they already provided.

Headless architectures address this by decoupling content from presentation, enabling teams to manage content centrally. Content can then be delivered consistently across channels through APIs, ensuring that updates are reflected everywhere at once. This approach helps brands maintain continuity across the customer journey, so interactions feel connected rather than disjointed, regardless of where the journey continues.

Always-on availability

Always-on access has become a baseline expectation for customer experience. Over 46% of customers find the lack of self-service support frustrating, and more than 90% say they would prefer to use a knowledge base if it meets their needs. Customers want to find information, manage accounts, and resolve issues on their own without being constrained by business hours.

To meet this expectation, organizations are investing in B2B portals, knowledge centers, product documentation, and learning hubs. These self-service experiences empower customers to get more value from products and services while reducing friction and dependency on support teams.

#5 examples of how digital transformation can improve customer experience

Digital transformation improves the customer experience when it’s successful. Below are examples of brands that underwent a digital transformation and modernized their technology to provide customers with a better experience.

Enhancing global shopping experiences with faster content delivery

Lindex operates across 440 stores in 16 markets, making content speed and consistency critical. But as the company’s digital growth accelerated, its legacy CMS struggled to support frequent updates, translations, and cross-platform delivery.

The company used Hygraph to rebuild its content model from the ground up and create a single source of content that could be reused across web and app experiences.

With Hygraph, Lindex reduced the time to create new campaigns from 7 days to 1 day. The Lindex team can now launch in new markets in two weeks, down from two months.

We’ve removed so many blockers. Now we focus on building the experience that we as well as our customers want.
Patrik Thituson
Patrik ThitusonSoftware Developer at Lindex Group
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Managing product catalogs with structured content

Komax Group serves customers in over 60 countries. Their monolithic architecture was causing major challenges, including limited performance, slow time-to-market, inefficient content workflows, and scalability issues.

By adopting a headless, composable architecture with Hygraph, Komax broke down tightly coupled systems and introduced modular content components. This allowed teams to iterate faster, improve performance, and deliver unified experiences across their website and emerging customer portal.

As a direct result, page loading times decreased by over 70%, and adding new website elements became three times faster.

Since the product will evolve quite fast, we think Hygraph's component approach will help us in the right direction.
Stefan Malär
Stefan MalärManaging Partner at oddEVEN
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Delivering trusted industry insights at speed

TechInsights delivers highly technical market intelligence for the semiconductor industry, where timing matters as much as accuracy. But legacy workflows built around static PDFs made it difficult to deliver information quickly or keep users engaged.

TechInsights modernized its content architecture using Hygraph. Content was broken down into modular components and supported by a consistent metadata structure, while relationships between content elements were preserved.

As a result, users could find relevant insights faster and return to the platform more frequently. Within six months, TechInsights migrated 80% of its PDF content and modularized more than 600 page reports, improving both delivery speed and overall usability.

Hygraph effectively allowed us to change our processes, allowing us to have authors publish directly, which was never before possible. Everything before had to go through publishing. That is speed, that is productivity.
Hussein El Aggan
Hussein El AgganChief Architect at TechInsights
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Engaging customers with a composable customer portal

Samsung Electronics Germany needed a modern customer portal to keep customers engaged across multiple channels. Samsung.de built a composable members platform with Hygraph to replace the portal that was previously only available on mobile.

One of the most important benefits was the ability to engage with more customers, as people who bought non-mobile products can also enjoy customer-exclusive offers via the members portal web app. This would also allow Samsung to acquire first-party data to continue delivering its customers' desired experience.

Hygraph’s out of box support for GraphQL allows our frontend developers to concentrate on building features without involving backend developers for API adjustments. They can swiftly build and test queries inside the Hygraph intuitive UI which allows us to flexibly shape the content models and test the outcome almost immediately in the frontend.
Andre Lang
Andre LangHead Of Development at Cheil
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Drawing customer insights for a media platform

Multinational telecommunications company Telenor created a video streaming service that allowed users to stream content from several local television stations. However, they underwent a digital transformation to modernize that streaming service to scale as the company grew.

Telenor used Hygraph to fetch metadata from external APIs accompanying the streaming videos. With the new streaming service, they could achieve a faster time-to-market, enabling customers to enjoy video content sooner.

When you work with a monolith, you become a spec writer. We needed the abstraction layer (of a database) and a UI on top of it, which would have used a large amount of development resources inhouse.
LC
Lars-Flemming ClausenSenior Engineer at Telenor
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#Wrapping up

Digital transformation improves customer experience when content, data, and delivery are designed around the customer—not internal constraints. When done well, it removes friction, builds trust, and allows organizations to scale experiences without losing relevance.

As customer expectations continue to evolve, platforms that support structured content, real-time delivery, and seamless integration across systems become essential. Hygraph enables teams to build flexible, scalable digital experiences that adapt as customers, channels, and technologies change.

To see how Hygraph helps organizations deliver better customer experiences through digital transformation, request a demo.

Blog Author

Jing Li

Jing Li

Jing is the Organic Growth Lead at Hygraph. Besides telling compelling stories, Jing enjoys dining out and catching occasional waves on the ocean.


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