Modern e-commerce is too complex for monolithic architecture

In today's rapidly evolving digital landscape, especially in B2B, commerce has become too complex for rigid monolithic systems. Organizations need speed, scalability and flexibility, but outdated platforms are often a drag. Composable commerce offers an alternative: a modular architecture in which each component can be developed independently. But composability works only if the underlying data is clean, structured and standardized.

Data is the connective tissue that connects ERPs, OMSs, pricing engines, PIMs, CMSs and AI services. With AI developing at lightning speed, the need for a modular, data-centric architecture becomes even greater. Companies need to be able to connect new tools without complete re-platforming or re-establishing the tech stack.

Business impact: faster value and less risk

For the business, the shift to composability translates directly into value. Reusable components and modular patterns shorten development cycles and accelerate time to market. The architecture better connects to real business domains such as customers, products, orders, prices, inventory. This creates systems that actually reflect the organization.

Technical debt falls because teams can replace or improve individual services without touching the entire stack. International organizations can innovate locally while still leveraging shared governance, data standards and compliance frameworks.

Most importantly, composable commerce prepares organizations for an AI-driven future. Clean data and modular components provide the foundation upon which AI can generate insights, automate processes and deliver adaptive user experiences.

The challenge lies in discipline, governance and change management

Yet this transformation does not come without challenges. Managing multiple modules requires tight governance, clear data ownership and teams with strong integration and orchestration skills. Moving from monolith to modularity requires initial investments, careful planning and thoughtful change management. Migration scenarios, such as the strangler pattern, can introduce uncertainty if not properly coordinated.

And while AI accelerates processes, it relies heavily on data quality, prompt design and context management. These are areas in which many organizations have yet to make strides.

‍

Working toward a future-proof commerce foundation

However, when composable commerce is applied with care and supported by clean, well-structured data, it creates a powerful system for digital transformation.

It replaces rigidity with flexibility, accelerates innovation and helps companies harness the full potential of AI. Not just today, but especially in the future.