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July 31, 2025
Microservices
API-first
Cloud-native
Headless
Following the MACH concept, engineers build software as a collection of components, or microservices. The microservices are loosely coupled which allows them to operate independently, so developers can change and improve any of them with minimal disruption to the rest of the system.
In MACH-based software, individual components interact with each other, as well as third-party solutions, through Application Programming Interfaces, or APIs. This promotes interoperability and ease of application integration, allowing developers to easily add new features and quickly connect the software with other systems and new digital channels.
Cloud hosting makes ecommerce solutions easily scalable and globally available, allowing companies to easily scale storage and computing resources up or down in line with the changing business needs.
In MACH-based solutions, the presentation layer and the back-end layer are separated, which allows online retailers to adopt separate user interfaces across different platforms (web, mobile, etc.) while using the same back-end and ensure personalized experiences for different customer groups.
Choosing between the traditional monolithic architecture and MACH, companies should consider the following critical differences.
Monolithic architecture | MACH architecture | |
---|---|---|
Component dependency | Tight couplingIn a monolithic architecture, all elements are closely related and interdependent. Tight coupling is one of the main reasons why developers can’t easily enhance monolithic solutions with new technologies or add modules to enable new business functions. | Loose couplingIn contrast, the MACH architecture enables developers to decouple modules and services into smaller independent microservices. Such modular structure enables reworks or upgrades of individual components without disrupting the entire system. |
Data management | CentralizedThe monolithic software development model implies the use of a single database closely coupled with the rest of the solution, which complicates its scaling and updating. | DecentralizedEach microservice has its own database, which allows developers to quickly reconfigure them or integrate with other solutions. |
Composability | Large componentsTraditionally, businesses rely on large-scale components with most of their data stored in a single, integrated unit. All the components are coupled, so any change in one of them will require changes in the whole system. | Smaller distributed componentsMACH architecture allows breaking systems into independent services to choose the best provider for each service, like search or payments, without relying on one platform. Companies can add parts more quickly without changing the whole system, including emerging technologies such as AI and machine learning, recommendation engines or predictive analytics as needed. |
Cost-efficiency | Cheaper at the beginningMonolithic platforms often involve lower initial costs but can become expensive over time due to more complex upgrades and scaling efforts. | Cheaper in the long runMACH-based solutions typically come with higher initial setup costs but over time, they often prove more cost-effective because of easier maintenance and upgrades not requiring the entire system’s rework. |
The microservices architecture market is projected to reach $30 billion by 2032, growing at a CAGR of 18.5% | |
---|---|
74% of developers followed the API-first approach in 2024, compared to 66% in 2023 | |
Almost 38% of retail organizations have been using MACH technology for more than seven years | |
59% of organizations with more composable commerce infrastructure are more open to AI implementation | |
Almost 38% of North American organizations began their MACH journey 7+ years ago |
Scheme title: Industries where businesses are more or less positive towards MACH & Composable
architectures in 2024 compared to 2023
Data source: The MACH Alliance Report
50% of respondents experience greater organizational agility and adaptability to change thanks to the MACH architecture adoption | |
---|---|
9 in 10 organizations report that MACH investments have met or exceeded ROI expectations, a 7% increase from the previous year | |
91% of IT decision-makers believe MACH technologies will be decisive for corporate success in the next five years | |
26% of respondents named agility, flexibility, and adaptability as key reasons cited for organizations’ greater desire to embrace MACH in the face of economic volatility |
Scheme title: Top 3 benefits of MACH adoption
Data source: The MACH Alliance Report
Scheme title: Countries where organizations experience multiple benefits as a result of implementing
MACH
Data source: The MACH Alliance Report
Scheme title: MACH makes more competitive infrastructures
Data source: The MACH
Alliance Report
Cloud native software is expected to reach $91.05 billion by 2032 | |
---|---|
61% average proportion of solutions expected to be MACH or composable by the start of 2026 | |
By 2027, at least 60% of new B2C and B2B digital commerce solutions developed for hosting in the cloud infrastructure will be aligned with MACH architecture principles | |
The desire for MACH adoption has increased by 35% in 2024 compared to 2023 |
Scheme title: The proportion of organizations that plan to implement more MACH elements in the near
future
Data source: The MACH Alliance Report
Node: Shown in brackets in tooltip - all valid
responses from all respondents
Here are several retail enterprises that have already started to leverage the advantages of the MACH architecture.
Puma, a multinational retail brand, has implemented micro-services into its tech stack, gaining an ability to expand the functionality of its apps faster. The retailer can now cover customer needs more rapidly by deploying new custom interfaces and APIs as the need arises. In addition, Puma used specific elements of the MACH architecture, such as microservices, to revamp its data management software. After conducting loading tests, the retailer noted that the modernized microservices-based system can support 300% - 400% more users compared to the legacy software solution.
Costa Coffee is a British coffee shop chain with more than 2,800 stores and 12,000 Express machines across the UK and Ireland. In recent years, the enterprise has been growing rapidly, so it required a flexible technology that would be able to deliver many types of content in several languages to different audience segments. The MACH architecture enabled the retailer to achieve this goal, helping Costa Coffee quickly scale up and enter the Indian market. Now, if needed, the enterprise can quickly expand its business to other regions. Costa Coffee claims that with MACH, they can deploy new websites in 15 minutes instead of several months.
Nordic Nest is a home decor retailer based in Sweden. The company faced challenges like managing high volumes of customer service requests during peak times, keeping service quality consistent across channels, and scaling operations without delays. The MACH architecture-based setup simplified integration with systems like ERP, CRM, and WMS and streamlined customer service operations, improved the support speed and accuracy, and provided centralized access to core customer data. This gave team members quick access to all the information they needed in one place, so they no longer had to switch between disconnected systems. As a result, they could help more customers more quickly and accurately. Also, the system scaled easily during Black Friday, processed five sales per second, and supported the onboarding of 400 staff.
Primark, a fashion retailer based in Ireland, has more than 400 stores across Europe and the US. To meet rising user expectations for better digital experience, the company needed a flexible system for click-and-collect management and providing real-time stock information to customers. By adopting a MACH-based solution featuring cloud-native infrastructure, a headless architecture, and microservices, Primark saw a 23% global increase in website traffic with 140 million visits across 17 markets and can now scale its operations quickly.
Here are some implementation tips to ease the transition to MACH and increase your project's ROI.
Decision-makers should determine the MACH architecture’s feasibility for the company’s unique business case and whether they have enough resources to develop such a solution. As an option, enterprise executives can conduct a series of meetings with technology, marketing, and customer service professionals to get a shared understanding of the business case and make an informed decision.
Here are a few questions you should consider:
Implementing MACH gradually requires long-term planning and careful consideration of each step. Develop a clear, long-term plan for adopting MACH that fits your business goals for scalability, performance, and reliability to guide your progress. Also, make sure to monitor your system continuously and make improvements as needed.
Before moving forward with a full MACH implementation, it’s important to develop a Proof of Concept. A PoC helps companies test how MACH components interact within your existing environment, identify technical risks, and validate architectural decisions early.
A commerce solution doesn’t have to be 100% MACH right away. Instead, the concept of MACH is a combination of approaches and frameworks, so the MACH architecture can be introduced gradually and in parts.
It’s better to start by identifying specific areas where MACH can bring immediate value, such as the frontend, product catalog, or checkout process, and replace them individually. Use APIs to connect new MACH solutions with legacy systems and maintain stable operations during the transition.
Properly adopted, MACH can help ecommerce enterprises reap significant business benefits.
The increased flexibility resulting from MACH adoption allows enterprises to continuously innovate and improve customer digital experiences. For example, marketing specialists can quickly adopt emerging marketing channels across the company’s web and mobile apps, quickly tailor content to different audiences, and easily track key performance metrics, improving conversions and sales.
Updating or modifying microservices using code changes won’t disrupt the whole ecommerce system, introduce errors and bugs, or create potential security vulnerabilities. Also, if any problem does arise, it would be localized within a single component and won’t interfere with the system’s work.
Due to the specifics of microservices architecture, developers can build and deploy different software elements in parallel, which can significantly speed up the release of an ecommerce solution. Additionally, faster time-to-market allows ecommerce enterprises to reduce costs associated with traditional software development and management.
Due to the modularity that underlies the MACH concept, retailers can quickly add new tools and advanced technologies, like AI, ML, or IoT, to their ecommerce technology stack.
MACH adoption can be a demanding task, often accompanied by the following business challenges.
Challenge | Solution | |
---|---|---|
Increased development time due to microservices |
Microservices design adds complexity and requires a lot of time and effort from the development team to
build and properly set up the components. Thus, although the MACH model aims to reduce time-to-market,
building a large-scale solution can increase the project’s timeline.
| Companies should deliberately and thoroughly plan their future MACH project and make sure it fully aligns with their business goals. This way, they won’t spend extra time and money building very generic or unnecessary components and have a higher chance of meeting the deadline. |
The growing complexity of project management |
Constantly supporting a microservices architecture and monitoring a multi-component environment while
ensuring seamless customer experiences can prove challenging for businesses.
| Enterprises should replace their traditional software monitoring tools and approaches with automated solutions that accurately detect any issues and timely alert the company about them. |
Difficult integration with legacy systems |
Implementing a MACH solution into the company’s IT ecosystem can be challenging if legacy systems such as
ERP, CRM, or inventory management platforms do not support API-first integration.
| The company should build custom connectors to synchronize data between legacy systems and a MACH-based platform. It allows both systems to work together without replacing legacy solutions. |
Today's consumers use many different channels to shop and expect a personal experience across all of them. Adopting suitable technical advancements like MACH architecture allows retailers to meet these customer expectations, better orchestrate their marketing, sales, and customer service activities, and effectively deliver their messages to audiences across multiple platforms and touchpoints. Itransition’s experts are ready to help retailers leverage the benefits of MACH architecture and increase their chances of increasing customer loyalty and standing out among their competitors.
MACH is a software architecture that combines four software technologies:
These MACH principles allow businesses to build agile, scalable, and future-proof solutions.
The MACH architecture can be used for digital transformation in many industries, not just ecommerce. For example, industries like finance, travel, and media can follow the MACH framework to build future-proof solutions, improve their business operations, and respond quickly to market changes.
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