How to Improve Digital Transformation Outcomes in Commerce

Digital transformation in commerce requires more than coordinated planning, cross-functional alignment, and clear business objectives to deliver measurable results. Cost overruns, slow adoption, implementation delays, and organizational complexity can all limit the value brands realize from major transformation efforts. But for enterprise commerce teams, one common constraint sits beneath many efforts that fail to capture value: fragmented architecture.

Large-scale transformation programs remain a priority across industries. McKinsey reports that 9 out of 10 senior leaders say their organizations have undertaken at least one major digital transformation initiative in the past two years. 

But companies struggle to capture the full value of those investments. According to the same research, organizations have realized only 31% of the expected revenue growth and 25% of the anticipated cost savings tied to their digital and AI transformation programs. That leaves a significant gap between what organizations hope to gain from their investment and the outcomes they ultimately realize.

This article examines the digital transformation value gap, the factors that contribute to it, and how a unified commerce architecture can help organizations capture more value from their transformation investments. It also explores how architecture influences the speed, scale, and measurability of transformation outcomes across channels.

How and why the digital transformation value gap occurs

Despite widespread investment in digital transformation, many organizations fail to realize the business outcomes they expect. According to McKinsey, 69% of digital transformation initiatives do not meet or exceed revenue targets, while 75% fail to capture their full potential cost savings. 

The firm also found that fewer than one-third of business leaders consider their transformations successful at both improving organizational performance and sustaining those improvements over time.

Digital transformation projects can fall short for many reasons, including:

• Choosing technology before defining business strategy
• Underestimating implementation costs and complexity
• Organizational misalignment across teams
• Insufficient focus on change management and adoption
• Scope creep and extensive customization
• Selecting a vendor that doesn't fit business requirements

These issues are common, but not always the root cause. In enterprise commerce, fragmented systems can turn alignment, adoption, governance, and measurement into ongoing challenges rather than one-time transformation goals.

Many of these challenges become harder to solve when core commerce systems operate independently. Process improvements and change management can help, but disconnected solutions often continue to create friction across teams, channels, and customer experiences.

One reason is that siloed commerce stacks, including enterprise resource planning (ERP)-centric B2B portals, disconnected wholesale catalogs, standalone direct-to-consumer (DTC) storefronts, and isolated point-of-sale (POS) systems, can limit an organization's ability to create value across channels. 

When a digital transformation project only involves an isolated system, customer data can remain fragmented, teams still work from different sources of truth, and operational improvements can stay confined to individual business units. Without a unifying architecture, improvements often stay within individual channels instead of creating broader business impact.

How fragmented commerce stacks produce fragmented outcomes

Many legacy, enterprise commerce environments weren't designed as unified systems. They evolved over time as brands added new channels, entered new markets, acquired businesses, or adopted new tools to solve specific operational needs. The result is often a commerce stack where DTC, B2B, wholesale, and retail each have their own systems, data, and workflows.

A typical enterprise commerce stack could include: 

Over time, these investments can create a highly customized technology environment built from multiple point solutions. Each platform may address a specific business requirement, but together they form a complex web of integrations, duplicated data, and disconnected workflows. This "frankenstack" is common across enterprise commerce and can be prone to accumulating technical debt. But it often reflects years of growth and adaptation rather than poor technology decisions.

Individual systems can perform well in isolation. A retailer might modernize their point-of-sale platform, improve store operations, and deliver faster checkout experiences. But if the POS isn't connected to ecommerce systems, store associates may still lack visibility into a customer's online purchases, order history, or buying preferences. The technology upgrade might improve one channel while limiting opportunities to improve the broader customer experience. Then, the same pattern compounds across the business: Each channel gets better, but the gains don't automatically carry into the others.

The impact of siloed architecture

The effects of siloed architecture extend beyond technology. Teams spend time reconciling data across systems, managing integrations, and coordinating processes that should operate together. New capabilities often require complex implementation work across multiple platforms, delaying time-to-value and increasing operational overhead.

Data fragmentation creates another challenge. Customer, product, inventory, and order information often exist in multiple systems, making it difficult to establish a consistent view of the business or the customer. Even successful upgrades to systems such as ERP or CRM platforms can deliver only partial value when critical information remains distributed across disconnected applications.

The larger cost is missed opportunity. When channels, teams, and data operate independently, improvements often remain localized instead of creating enterprise-wide impact. Unified commerce allows customer insights, operational efficiencies, and business improvements to extend across channels rather than remain confined to individual systems.

Skullcandy's transformation illustrates how reducing fragmentation can create broader operational benefits. 

How Skullcandy consolidated disparate systems to a single commerce platform in 90 days

Before their transformation, Skullcandy managed a fragmented and highly customized commerce stack. Their multi-step checkout required ongoing maintenance, a standalone product information management (PIM) system complicated catalog management, and integrations with ERP, logistics, and shipping systems added operational overhead.

“The team spent too much time on monitoring and making sure that things were flowing instead of adding capability,” said Mark Hopkins, CIO of Skullcandy.

To support future growth, Skullcandy wanted to create a mobile-first ecommerce experience within a 90-day implementation timeline. Their goal was not just to upgrade technology, but to simplify a complex commerce environment that had become difficult to scale. Rather than recreating their existing architecture on a new platform, Skullcandy consolidated key commerce functions on Shopify. The migration included:

• Replacing a custom five-step checkout with Shopify Checkout and Shop Pay
• Eliminating a standalone PIM and managing their DTC catalog data directly in Shopify
• Streamlining integrations with their Netsuite ERP system
• Launching a loyalty program through Shopify ecosystem partners

Within a month, end-to-end test orders were flowing through Shopify to their ERP. Weeks later, Skullcandy launched storefronts in Canada, the European Union, and the United Kingdom using repeatable processes and templates rather than rebuilding infrastructure for each market.

The results extended beyond the initial migration. Skullcandy reduced technical complexity, saved millions in implementation costs, shortened delivery timelines, and reduced global product launch times from a full day to less than an hour. Following the launch, the company recorded their strongest holiday sales season to date, achieving 45% year-over-year revenue growth.

The architecture decision that impacts enterprise digital transformation outcomes

Technology architecture can be a key predictor of digital transformation outcomes. It shapes how quickly organizations can launch new capabilities, connect customer experiences across channels, and translate technology investments into business results. Before selecting platforms or planning implementations, commerce leaders need to evaluate the architectural model that will support long-term growth.

Different approaches can be effective in different contexts. Composable commerce, for example, can make sense for organizations with highly specialized requirements, such as a manufacturer supporting complex B2B purchasing workflows across multiple regions and business units.

Architecture can determine both the speed and scale of transformation outcomes. Whether a brand adopts a composable architecture, a traditional monolithic platform, or a unified software-as-a-service (SaaS) commerce model influences how quickly it can improve metrics such as GMV, B2B self-service adoption, wholesale reorder rates, and DTC conversion, and how broadly those improvements can extend across the business.

Three core architecture models for commerce platforms

For commerce brands, the commerce platform is a foundational component of the technology stack. The architectural model behind that platform influences implementation speed, integration complexity, ongoing maintenance requirements, and how effectively transformation outcomes can scale across the business.

The architecture can also impact where teams spend their time. With a legacy platform and tech stack, teams may be maintaining integrations and customizations instead of delivering new customer and operational capabilities.

Monolithic systems

Traditional monolithic commerce platforms bundle core functionality into a tightly coupled application. Catalog management, checkout, customer accounts, content, and other capabilities operate within a single system.

This approach can work well for brands with straightforward commerce requirements that prioritize simplicity and low operational overhead. The trade-off is flexibility. As business requirements become more complex, customization can require significant developer involvement, making changes slower and more expensive to implement.

Composable systems

Composable commerce takes a modular approach, allowing businesses to assemble commerce experiences from specialized components and services. Brands can select individual solutions for areas such as storefronts, search, content management, checkout, and customer data, then connect them through APIs and integrations.

This model can be a strong fit for organizations with highly specialized requirements, bespoke buyer journeys, or differentiated customer experiences that aren't easily supported by standard platform capabilities. The added flexibility comes with greater integration complexity, governance requirements, and long-term maintenance responsibilities.

Unified SaaS platforms with extensive ecosystems

Unified SaaS commerce platforms provide a broad set of commerce capabilities through a single platform architecture. Core functionality for ecommerce, B2B commerce, checkout, international expansion, and order management is available out of the box, while additional capabilities can be added through partner applications and integrations.

Modern unified SaaS platforms like Shopify also support API-driven and headless implementations, allowing organizations to customize customer experiences while maintaining a unified operational foundation. This approach reduces the need to assemble and maintain multiple core commerce systems while preserving flexibility where it creates the most value.

For many enterprise commerce brands, architecture decisions often come down to balancing flexibility against complexity. Monolithic and composable approaches can both support specific business requirements, but they can introduce additional integration overhead that may slow implementation timelines and delay business outcomes. 

Unified SaaS platforms can be better positioned to accelerate time-to-value by reducing architectural complexity, particularly during digital transformation initiatives focused on creating a more connected commerce operation.

How AG Jeans simplified their architecture and improved customer experience 

Fashion retailer AG Jeans wanted to scale, but their technology stack had become costly and difficult to maintain. Ecommerce and POS operated separately, leaving customer data fragmented across channels. Their ERP struggled to support multiple integrations, creating outages, failures, and ongoing manual maintenance.

AG Jeans simplified the architecture by making Shopify the central commerce platform and maintaining a single integration between Shopify and their ERP. Shopify managed ecommerce and retail operations, while the ERP continued to support core back-office functions. This reduced the number of systems and integrations required to support day-to-day commerce operations.

The rollout moved quickly. AG Jeans launched their Shopify storefront first, then deployed Shopify POS across 15 retail locations within a year. They also introduced personalization and clienteling capabilities with the Endear app.

"Everything related to ecommerce could integrate directly with Shopify and Shopify only. This was pretty seamless. Then, so long as we focused on the integrity of our integration between Shopify and our ERP, we had the freedom to adjust our ecommerce tech stack as needed, without having to take into account the limitations of the ERP. This made us significantly more agile," said Graham McCulloch, director of ecommerce and brand marketing.

The results reflected the benefits of a simpler architecture. With fewer integration dependencies and a more connected foundation, AG Jeans could focus on improving customer experience instead of managing systems. Conversion rate increased by 1.5 percentage points, customer satisfaction improved alongside site speed and checkout performance, and clienteling penetration doubled from 15% to 30% of total business.

Understanding the digital transformation outcomes unlocked by unified commerce

Unified SaaS architecture can reduce integration complexity by consolidating commerce channels, customer data, and operational workflows onto a single platform. A unified strategy creates the conditions for outcomes to extend beyond the channel where they start, allowing improvements in one channel or function to generate value in others.

When customer, inventory, order, and commerce data operate on the same foundation, channel-specific gains can broaden to enterprise-wide gains. Customer insights from direct-to-consumer channels can inform wholesale strategy, B2B self-service can increase sales productivity, and retail transactions can update inventory availability across every touchpoint in real time. Rather than optimizing individual systems in isolation, organizations create a connected commerce operation where improvements reinforce one another over time.

Unified buyer intelligence across DTC channels 

When commerce channels operate on the same platform, every customer interaction contributes to a shared view of buyer behavior. Checkout activity from ecommerce, social commerce, email campaigns, retail stores, and other touchpoints can inform personalization, loyalty programs, marketing campaigns, and merchandising decisions without requiring data to move between disconnected systems. That shared view can also help teams understand which products, offers, and buying patterns translate across DTC, B2B, and wholesale channels.

Brooklinen experienced the benefits of this approach as their business evolved beyond direct-to-consumer sales. As bulk orders from business customers increased, the company found that manual B2B ordering processes would limit future growth. They used Shopify to launch a B2B storefront that mirrored the simplicity of their consumer buying experience while giving teams access to shared customer and purchasing data across channels.

“B2B on Shopify allows us to engage with these customers in a new way, kind of like a typical DTC customer but for B2B,” said Kelly Hallinan, senior vice president of emerging channels at Brooklinen.

By connecting customer intelligence across commerce channels, Brooklinen created more personalized buying experiences while establishing a foundation for continued growth in both DTC and B2B commerce. The transformation gave them a holistic view of how different customer groups buy.

B2B self-service adoption as a transformation outcome

Unified B2B commerce connects inventory, pricing, customer accounts, and order history within a single platform. This allows businesses to offer self-service portals with customer-specific pricing, role-based permissions, simplified reordering, purchase order workflows, and streamlined invoicing without relying on extensive custom development.

Accurate customer and transaction data can also improve the buying experience. Similar to DTC commerce, B2B brands can use purchasing history and account data to create more relevant product recommendations, tailored catalogs, and personalized buying journeys.

Cosmetics retailer Dermalogica felt the impact of this transformation firsthand. Their previous B2B platform allowed online ordering but relied on an outdated interface and poor search functionality that frustrated buyers. Many customers chose to place orders by phone instead.

After migrating to Shopify, Dermalogica created a purchasing experience that felt familiar and intuitive. Customers could place wholesale orders through a streamlined digital experience supported by shared commerce data and workflows.

The results reflected stronger adoption and engagement. Dermalogica increased reorder frequency by three times, improved conversion rates by 23%, and saw 75% of customers rate the buying experience 4 out of 5 or higher. These metrics illustrate why self-service adoption is a useful transformation outcome: When ordering becomes easier, customers are more likely to use digital channels consistently. Self-service adoption became a direct outcome of a better customer experience rather than a separate technology initiative.

Streamlining ordering and operations for wholesale buyers

Wholesale buyers depend on accurate catalogs, inventory visibility, and reliable fulfillment information. When these systems operate together, businesses can support automated reordering, native net payment terms, customer-specific pricing, and volume discounts without building custom workflows across multiple platforms.

Angelus Brand, a leader in shoe customization and care products, wanted to modernize wholesale operations that relied heavily on manual order entry and disconnected systems. The company consolidated wholesale processes, ecommerce channels, inventory management, and QuickBooks workflows onto Shopify, creating a self-service purchasing experience for wholesale buyers.

The new approach reduced operational complexity while making purchasing faster and more predictable for customers. When buyers can place orders through a consistent self-service experience, teams can spend less time managing orders manually and more time supporting growth. It also established a foundation for long-term growth. Five years after migrating to Shopify, Angelus Brand had increased total worldwide sales by 10 times.

Retail and POS: Unifying channels to unlock revenue

Unified retail and ecommerce operations give retailers a shared view of inventory, orders, and customer activity across channels. Capabilities such as buy online, pick up in-store (BOPIS), ship-from-store, and endless aisle become easier to support because inventory and order data operate from the same system. Retailers can serve customers without creating separate processes for stores and ecommerce.

Rémy Cointreau, a luxury spirits company, used Shopify to connect ecommerce and retail operations on a shared back end. By implementing Shopify POS across their boutiques, the company unified ecommerce, in-store sales, and direct purchases managed by private client directors.

Within a year, Rémy Cointreau launched 15 branded online stores across markets including France, the United Kingdom, and Germany. With retail and ecommerce operating on the same platform, teams can launch pop-up experiences, test new concepts, and support new sales initiatives without managing separate systems.

“In a matter of seconds, we can support new ideas,” said Pasqual Ortuño Núñez, group IT digital director for Rémy Cointreau.

For retailers, the outcome is greater flexibility to launch new experiences, support new revenue streams, and operate across channels without adding operational complexity.

How operating models influence digital transformation outcomes

Technology architecture creates the foundation for digital transformation efforts, but operating models determine how effectively organizations capture value from that foundation. Lasting transformation outcomes can depend on alignment across people, processes, governance, and technology. When those elements work together, organizations can adopt new capabilities faster, make decisions more effectively, and scale improvements across the business.

KPMG’s Target Operating Model framework and research from Valtech both highlight the importance of those factors during transformation efforts. Valtech found that 49% of business leaders view digital transformation primarily as a way to improve customer experience, and 43% see it as an opportunity to automate internal processes. 

However, many organizations still approach transformation through a technology-first lens. Realizing business value requires organizational alignment alongside platform modernization.

At the same time, operating model challenges are often linked to technology decisions. Teams become siloed when they work from different systems, processes become fragmented when data exists in multiple locations, and governance becomes more complex when each channel operates independently. Many organizational barriers that appear to be people or process issues originate in the underlying technology architecture. In other words, operating model change is necessary, but fragmented systems make that change harder to sustain.

The three operating model conditions unified commerce enables

Unified commerce builds the foundational operating conditions that allow organizations to execute across channels, align teams around shared outcomes, and make decisions using the same information. Three conditions are particularly important for organizations seeking to maximize digital transformation outcomes. 

• Shared data ownership
  When customer, order, inventory, and commerce data live within a unified platform, teams can work from the same source of truth. Marketing, sales, retail, customer service, and operations teams all gain access to consistent information without relying on separate reporting systems or manual data reconciliation. 
• Cross-channel incentive alignment
  Unified commerce makes it easier to connect customer journeys across channels. Because interactions, purchases, and customer profiles exist within the same system, brands can design experiences that encourage engagement regardless of where customers choose to transact. 
• Centralized governance with decentralized execution
  With unified commerce, governance is simplified by consolidating systems, permissions, reporting, and operational workflows within a single platform. At the same time, teams retain the flexibility to execute independently. Marketers, sales teams, finance teams, retail managers, and operations leaders can access the data and tools they need without creating separate systems or processes. 

Measuring digital transformation outcomes from a unified approach

Organizations should define success metrics before launching a digital transformation initiative, particularly when consolidating commerce functions onto a unified platform. Establishing baseline measurements before migration creates a clear benchmark for evaluating impact, quantifying return on investment (ROI), and identifying opportunities for further optimization after launch.

Leading indicators (Months 1–6)

Leading indicators help determine whether the transformation is progressing as planned from a technical and operational perspective. Common measures include implementation milestones achieved on schedule, successful system integrations, user adoption rates, channel launches, migration timelines, and reductions in manual processes or support requirements following launch.

Commercial outcomes (Months 6–18)

As the platform matures, organizations can evaluate whether operational improvements are translating into business results. Key metrics often include conversion rate, average order value (AOV), customer acquisition efficiency, self-service adoption, reorder frequency, revenue growth, and time savings across merchandising, customer service, sales, and operational workflows.

Compounding outcomes (18 months+)

Long-term transformation success is reflected in outcomes that extend beyond individual channels or initiatives. Organizations may measure customer lifetime value (CLV), cross-channel purchasing behavior, retention rates, expansion into new markets, reduced operational costs, faster launch cycles, and the ability to introduce new commerce experiences without significant implementation effort. 

At this stage, the question is whether gains are still isolated or starting to show up across channels and customer journeys. These metrics indicate whether the transformation has created a foundation for sustained growth and continuous improvement rather than a one-time technology upgrade.

Close the outcome gap with a unified commerce platform

Many digital transformation initiatives fall short not because organizations lack ambition, resources, or expertise, but because fragmented commerce systems can limit the impact of every improvement. When modernization is focused on a single solution, operational gains often stay confined to individual business units rather than extending across the enterprise.

Adding unification to a commerce digital transformation strategy removes silos and enables broader change. By bringing commerce channels, customer data, inventory, and operational workflows together on a shared foundation, brands can create the conditions for outcomes to compound over time. Improvements in one area of the business can support performance across others, turning isolated wins into sustained growth.

But organizations often launch transformation programs without creating the foundation needed to capture their full value. The challenge is not due to lack of effort. More often, it's a lack of connection between the systems expected to deliver those outcomes. 

For organizations evaluating a commerce transformation, architecture decisions have lasting consequences. A unified platform can simplify operations today while creating a foundation for future expansion across B2B, DTC, retail, wholesale, and international channels. The next phase of digital transformation won’t be defined by how many systems and workflows a business modernizes, but by how well those systems work together.