Technology Strategy Planning for Commerce Growth (2026)

Technology strategy planning starts with a familiar problem: The business has grown faster than the systems behind it. A brand might begin with one ecommerce storefront, then add wholesale, retail point-of-sale (POS), and B2B ordering as the business grows. Each addition solves an immediate need, but over time, those systems can become harder to manage together. Technology teams are left maintaining disconnected platforms across the business.

Large technology modernization programs carry significant execution risk. Gartner reports that 94% of CIOs expect major changes to their digital plans and outcomes within the next 24 months, yet only 48% of digital initiatives meet or exceed their business targets. McKinsey also reports that roughly 70% of digital transformation efforts fail.

This article outlines a practical framework for technology strategy planning in commerce organizations. 

Traditional IT strategy planning vs. commerce-focused approaches

IT or enterprise architecture teams often lead technology strategy planning during a digital transformation. These programs prioritize system stability, security, governance, scalability, and integration to reduce implementation risk.

Commerce technology introduces another dimension. The systems supporting ecommerce, wholesale, retail, and B2B operations are part of the revenue engine. Decisions about platforms, integrations, data, and workflows can affect customer experience, operational efficiency, and business performance across multiple sales channels.

Traditional IT planning remains essential, but commerce organizations need a framework that evaluates commercial outcomes alongside technical requirements. The traditional four-pillar model provides that technical foundation.

The traditional four-pillar IT model

Traditional enterprise technology planning is organized around four areas: technology and infrastructure, data, processes, and people. Each pillar helps teams evaluate technical risk and operational readiness during a transformation. For commerce organizations, each pillar also has commercial considerations that influence customer experience, channel growth, and operational performance. 

Pillar 1: Technology and infrastructure

Technology and infrastructure form the foundation of the commerce stack, including ecommerce platforms, enterprise resource planning (ERP) systems, order management systems (OMS), product information management (PIM), point-of-sale (POS) systems, customer relationship management (CRM) platforms, and the integrations that connect them.

Traditional IT planning evaluates whether these platforms are secure, scalable, resilient, and compatible with enterprise architecture standards. Commerce planning also considers whether the technology can support new sales channels, changing business models, and unified customer experiences without creating duplicate systems or operational complexity.

Pillar 2: Data

Traditional IT planning focuses on data governance, storage, security, compliance, and system integration.

Commerce planning also evaluates how product, customer, pricing, inventory, and order data move across channels. When that data is consistent, teams get accurate inventory visibility, channel-specific pricing, personalized customer experiences, and reporting across the business. Fragmented data creates manual work, inconsistent customer experiences, and slower business decisions.

Pillar 3: Processes

Technology programs document and validate business processes to ensure systems support operational requirements and users can complete their work.

Commerce planning extends this analysis to revenue-generating operations. Order fulfillment, inventory management, merchandising, returns, customer service, and pricing workflows all influence operational performance and customer experience. A technically successful implementation may still create operational friction if these workflows aren't evaluated from a commerce perspective.

Pillar 4: People and skills

Traditional planning emphasizes governance, organizational change management, user adoption, and training to support a successful implementation.

Commerce brands also evaluate how technology changes the work itself. Platform consolidation and automation can reduce repetitive administrative tasks, giving merchandising, operations, customer service, and digital commerce teams more time to focus on launching products, improving customer experiences, expanding into new channels, and supporting business growth.

Why commerce needs an additional planning framework

Consider a retailer replacing their ecommerce platform. The project evaluates infrastructure, integrations, security, and user training, and the implementation launches successfully.

The business still operates separate systems for wholesale ordering, retail inventory, customer data, and promotions. Product information is maintained in multiple platforms, pricing differs across channels, and customer service teams lack a complete view of each buyer. From an IT perspective, the implementation succeeded. From a commerce perspective, the business is still managing disconnected customer experiences and duplicate operational work.

Technology strategy planning for commerce expands the traditional IT framework by evaluating how every technology decision supports customer experience, channel expansion, operational efficiency, and long-term business growth.

What a commerce-focused strategy must address

Commerce technology planning extends beyond selecting platforms and integrations. Each sales channel has different operational requirements, customer expectations, and business processes. A technology strategy that works for one channel may introduce constraints in another if those differences aren't considered during planning.

Technology decisions made for one channel can create limitations across the rest of the business. A furniture retailer may choose an ecommerce platform optimized for DTC promotions and checkout, only to discover it doesn't support wholesale price lists, B2B approval workflows, or real-time inventory shared with retail stores. The result can be more applications, custom integrations, and duplicated operational processes as the business expands.

Commerce technology planning also needs to account for factors that traditional IT planning may not prioritize. Channel mix, evolving revenue models, operational complexity, and integration requirements all influence how technology is evaluated. Planning around today's channels alone can create expensive replatforming projects later if the business expands into wholesale, retail, marketplaces, or B2B commerce.

The four-phase technology strategy framework for commerce

A commerce technology strategy answers four questions before implementation begins: 

• What does the business need? 
• Which initiatives deliver the most value? 
• What architecture supports future growth? 
• Where should the business invest next? 

The four-phase framework addresses these questions through assessment, prioritization, architecture decisions, and emerging technology investment.

The framework builds on traditional technology planning by evaluating security, scalability, governance, and operational readiness. It also brings customer experience, revenue, channel expansion, and operational performance into the planning process.

Commerce technology stacks include the commerce platforms, ERP, PIM, CRM, OMS, payment systems, and the integrations that connect them. Unlike internal technology initiatives, these systems directly support transactions and customer interactions. 

Many systems, particularly ERP systems, are deeply embedded in business operations and difficult to replace, making architecture decisions more consequential. Outages or integration failures can affect customer experience, business operations, and revenue almost immediately.

Phase 1: Commerce technology assessment

The first phase establishes a baseline of the current commerce technology stack. Map every customer-facing system, the channels it supports, and the integrations between platforms before evaluating architecture changes and platform investments. Look for fragmentation, duplicate capabilities, and gaps between the current technology stack and future business plans.

Questions to guide the assessment include:

• Which systems support each sales channel?
• Where do platforms overlap or duplicate capabilities?
• Are separate commerce platforms used for DTC, wholesale, or B2B?
• Which business processes remain manual instead of platform-driven?
• Does the current stack support planned channel expansion?
• Which systems act as the system of record for products, customers, inventory, pricing, and orders?
• Which systems are approaching end of life or creating operational risk?
• Which platforms create the greatest maintenance burden?
• Where are the largest dependencies on custom development or third-party applications?

Audit each channel’s capabilities

Document capabilities by sales channel rather than by application. This shows where teams have duplicated functionality, inconsistent customer experiences, and capability gaps across channels.

Evaluate each channel across these capabilities:

• Customer experience
• Catalog management
• Inventory visibility
• Order management
• Customer data
• Reporting and analytics

When channels evolve independently, capability gaps become more visible. Inventory may differ between online and retail stores, customer profiles may exist in multiple systems, and reporting may require manual reconciliation. Shared data across channels can support more consistent inventory visibility, customer service, merchandising, and business reporting.

Inventory integration debt 

Technology assessment documents not only systems, but also the connections between systems. Integration debt is the accumulated technical complexity created by disconnected systems, custom integrations, and manual data movement across the commerce stack.

Point-to-point integrations can increase maintenance effort because each new platform or process requires additional connections. As the technology stack grows, these dependencies can make upgrades, testing, and new projects more difficult while increasing operating costs.

Assess integration debt by identifying:

• Manual processes
• Duplicate data entry
• Data synchronization failures
• Custom integrations
• Point-to-point integrations
• Batch processes that delay data availability

How Lulu and Georgia built a commerce-focused technology strategy

Home furnishings brand Lulu and Georgia manages a catalog of more than 40,000 products across furniture, lighting, rugs, and home décor. As the business grew, their existing commerce platform struggled to support increasing demand.

"Our site would slow down in performance or, in some cases, even go down, and this was without high-traffic, high-scale events," says Anis Tayebali, vice president of engineering at Lulu and Georgia. “We were growing, and our system couldn't handle it. We had severe issues even just taking and fulfilling orders. The business couldn't fulfill its mission.”

As part of their technology strategy planning, the team evaluated how platform limitations affected business operations, what it would take to migrate a catalog of that size, and how to support both B2B and direct-to-consumer (DTC) commerce on a single platform. The project focused on business outcomes as well as technical migration, including consolidating commerce experiences, automating operational workflows, and improving the buying experience with features such as 3D product views.

Lulu and Georgia now support both B2B and DTC customers on a unified commerce platform. They manage customer-specific pricing, workflows, and buying experiences while maintaining a shared back end, reducing the operational complexity of supporting multiple commerce channels.

Phase 2: Roadmap prioritization

Commerce technology roadmaps follow the business's channel strategy rather than treating every modernization initiative the same. Building on a unified commerce foundation before expanding into additional channels helps reduce duplicate systems, disconnected data, and integration complexity as the business grows.

DTC-first

For many commerce brands, DTC modernization establishes the foundation for future transformation. Modernizing the ecommerce platform, checkout, and customer data creates a common platform that can support additional channels without introducing separate technology stacks.

During this stage, brands modernize:

• Ecommerce platform
• Checkout
• Customer data collection
• Analytics foundations

Omnichannel expansion

Once the DTC foundation is in place, the next priority is connecting digital and physical commerce operations. A unified platform helps synchronize inventory, orders, and customer data across channels, reducing the operational complexity that can emerge as new sales channels are added.

During this stage, brands modernize:

• POS unification
• Inventory synchronization
• Order management system integration
• Cross-channel visibility

B2B digital self-service

B2B commerce introduces additional requirements, including customer-specific pricing, approval workflows, purchasing rules, and ERP integration. These capabilities depend on the customer data, product information, and integration foundation established during earlier phases, making B2B self-service easier to implement on a unified commerce platform.

During this stage, brands modernize:

• Account-based purchasing
• Custom pricing
• Catalog segmentation
• ERP connectivity

Laird Superfood sequenced their transformation by extending DTC success to wholesale

Laird Superfoodhad already established a successful DTC channel, but their wholesale operation relied on phone and email orders. As part of their migration to Shopify, the team prioritized launching a self-service wholesale portalto modernize B2B operations while maintaining a consistent commerce experience across channels.

The new wholesale storefront reflected the company’s existing brand and provided a mobile-friendly buying experience. It also gave wholesale buyers password-protected access to customer-specific pricing. Instead of building a separate technology stack for B2B, Laird Superfood extended their existing commerce foundation to support another revenue channel.

"Being able to automate the wholesale process changes how we build our team," says Luan Pham, chief marketing officer at Laird Superfood. “It prevents us from missing 2 a.m. orders and keeps our customers from having to wait to place an order until we're in the office. It just solves so many problems.”

Phase 3: Selecting platforms and architectures for commerce

With a roadmap in place, the next step is selecting the technology architecture that will support it. Platform decisions shape how the business can expand into new channels, adopt new capabilities, and manage operational complexity over time.

Headless and composable commerce

Headless commerce separates the customer-facing storefront from the commerce back end, allowing brands to build custom buying experiences while maintaining core commerce functionality. Composable commerce extends this approach by combining platform capabilities with third-party applications and API-based integrations to assemble a technology stack that meets specific business requirements.

This flexibility comes with additional architectural complexity. Integrated commerce platforms are a better fit for businesses with standard commerce requirements or those prioritizing speed to market and operational simplicity. Headless or composable architectures may be appropriate for businesses with:

• Multiple sales channels
• Highly customized customer experiences
• Global commerce operations
• Specialized business requirements that aren't supported by standard platform capabilities

API-first platform selection criteria

An API-first platform exposes core commerce capabilities through well-documented APIs, making it easier to connect systems, exchange data, and extend functionality without relying on brittle custom integrations. Strong APIs help businesses adapt their technology stack as operational requirements evolve.

When evaluating platforms, consider:

• Integration flexibility
• Data accessibility
• Extensibility
• Partner ecosystem

These capabilities influence how the platform can support future roadmap initiatives, whether that means adding new sales channels, introducing new business models, or replacing individual applications over time.

Selecting a platform for unification and consolidation

Platform selection also determines whether the business can consolidate commerce operations onto a shared foundation or continue managing separate systems for each channel. Some legacy platforms require additional applications or custom integrations to support capabilities across DTC, retail, wholesale, and B2B, increasing operational complexity as the business grows.

A unified commerce platform can help reduce technology sprawl by supporting multiple channels from a common back end. When evaluating platforms, consider:

• Operational simplicity
• Flexibility through ecosystem applications
• Lower integration burden
• Total cost of ownership (TCO)

The architecture choice depends on the business's complexity, channel strategy, and long-term growth plans. For many commerce organizations, a platform that supports multiple channels from a unified foundation can simplify operations while providing flexibility to expand over time.

How Who Is Elijah unified B2B and DTC on a single commerce platform

Fragrance brand Who Is Elijah built their business around DTC ecommerce before expanding into wholesale. As B2B sales grew, the company needed a platform that could support customer-specific pricing, differentiated product catalogs, and multiple buying experiences without maintaining separate commerce systems.

Who Is Elijah consolidated their DTC and B2B operations on Shopify, launching localized storefronts for the UK, US, and New Zealand alongside dedicated wholesale storefronts. The unified platform allowed the team to manage regional pricing, custom catalogs, and customer-specific purchasing experiences from a shared back end.

"One of the reasons we needed custom pricing for our wholesale customers was that many of them fall into different B2B categories; some have hard margins, and some we can control," says Brylee Lonesborough. “The custom catalog capabilities in B2B on Shopify meant we could set individual pricing categories and attach them to the various types of B2B customers we have so they get a more personalized experience.”

Phase 4: Prioritizing emerging technology

After modernizing the core commerce platform and supporting architecture, technology leaders can evaluate emerging capabilities such as AI. The value of these technologies depends on the quality of the underlying systems, data, and integrations that support them.

Foundational platform investments come before emerging capabilities because AI relies on consistent product data, customer information, inventory visibility, and operational workflows. Without that foundation, AI initiatives require additional manual work or custom integrations, limiting their business impact.

Where AI can deliver high return on investment (ROI)

Many commerce organizations find the greatest value from AI when it improves existing business processes rather than introducing new ones. Prioritize use cases with measurable operational outcomes and established workflows.

Common areas include:

• Merchandising: Product enrichment, catalog management, content generation, assortment planning, and product recommendations
• B2B ordering workflows: Quote generation, account-specific product recommendations, customer support, and buyer self-service
• Supply chain operations: Demand-forecasting, inventory planning, procurement support, and exception management

Agentic commerce and technology strategy planning

Agentic commerce uses AI agents to complete or coordinate business tasks with varying levels of autonomy, such as assisting buyers, managing workflows, or triggering operational actions across connected systems. As these capabilities mature, technology planning should evaluate how agents fit within existing commerce processes rather than treating them as standalone applications.

Organizations considering agentic workflows should first assess data quality, system integration, API availability, governance, and security. These capabilities determine how AI agents can operate across commerce systems while maintaining reliable business processes.

The inaction tax: The cost of delayed technology decisions

As technology strategy planning moves into timeline management, incorporate the cost of waiting. As commerce technology becomes more fragmented, businesses can spend more time maintaining existing systems instead of supporting growth, while delaying new channel expansion, operational improvements, and customer experience initiatives.

Compounding integration debt and its effect on team velocity

Delaying modernization can increase implementation complexity as additional systems, custom integrations, and manual processes accumulate. Engineering teams may spend more effort maintaining existing integrations, testing dependencies, and resolving data issues, leaving less capacity for strategic initiatives. As maintenance work grows, project timelines can stretch, and new capabilities take more time to deliver.

Market share not captured during platform transitions

Long technology programs can delay expansion into new sales channels, geographic markets, or customer segments. When technology isn't ready to support those opportunities, businesses may postpone new initiatives while modernization is underway. Building a roadmap that aligns platform investments with business priorities can help reduce disruption during future expansion.

How to build the internal business case for technology investment

Technology investments are easier to prioritize when they are tied to measurable business outcomes rather than platform features. Executive stakeholders evaluate technology initiatives based on their contribution to growth, operational performance, and long-term business strategy.

Frame technology investments around:

• Revenue impact
• Operational efficiency
• Risk reduction
• Future channel enablement

Connecting technology decisions to these business outcomes helps align engineering, commerce, finance, and executive teams around a shared modernization roadmap.

Building a technology strategy that compounds with commerce growth

Technology strategy planning should match the order in which the business needs to grow. A brand expanding from DTC into wholesale, retail, or B2B needs systems that can carry customer data, inventory, pricing, and order workflows across channels without creating duplicate work.

Use the roadmap to decide which constraints to remove first. If teams are reconciling inventory by hand, start with the systems that control product, inventory, and order data. If B2B growth is the priority, evaluate account-based pricing, catalogs, approvals, and ERP connections before adding another sales channel.

That sequence gives each platform decision a job. The goal is not to modernize every system at once, but to build the capabilities the next stage of growth depends on.