Notes from deep space
Why digital transformation does not end with ERP implementation
Implementing an ERP organizes the data, processes, orders, prices, documents and operational back office of a company, but it does not yet mean the completion of digital transformation. The real value appears only when the ERP is connected with an e-commerce platform, PIM, WMS, CRM, marketplace, automation and analytics, and the data starts to genuinely support sales and customer service. In this article we explain why the ERP is the foundation of digital maturity, but does not replace a modern sales platform, the customer experience, integrations and an architecture that allows the company to scale e-commerce in a B2B, B2C or omnichannel model.
Why the best e-commerce implementations start with difficult questions
An e-commerce implementation is very often associated with development, a backlog, integrations and consecutive sprints. In practice, the best projects start much earlier – with strategic questions about the sales model, processes, data, system architecture and real business goals. In this article, we show why the strategy stage before the start of development is not a formality or a project delay, but one of the most important elements of a good implementation. We explain how difficult questions help reduce risk, avoid costly rebuilds and build an e-commerce platform that not only works, but truly supports the company’s growth.
Why e-commerce system architecture should be a management decision
Why should e-commerce architecture be a management decision? Learn how system architecture affects growth, scalability, data quality, and the cost of change in modern commerce.
The cost of exceptions in e-commerce - why too much customization blocks sales scaling
In e-commerce, every exception looks reasonable at first: an additional pricing rule, a separate process for a B2B customer, non-standard delivery, a special promotion, an unusual order field or a custom integration. The problem appears when individual exceptions begin to form the entire architecture of the platform. In this article, we explain why excessive customization can block sales scaling, increase maintenance costs, make integrations harder and slow down e-commerce development. We also show how to design flexibility in a controlled way – especially in complex B2B projects based on Shopware.
EU Data Act and e-commerce - who really controls the data in your sales ecosystem?
The EU Data Act shows that data in e-commerce is no longer just a marketing asset. It is becoming the foundation of sales architecture, integrations, automation, B2B, AI and control over technology providers. In this article, we explain why companies should check who really controls the data in their sales ecosystem – before regulations, system migration or rising operational costs do it for them.
B2B self-service
B2B self-service is not only about allowing a business customer to place an order online independently. True self-service begins only when the platform reflects the customer’s real purchasing process: their prices, commercial terms, product availability, user roles, limits, approvals, order history, documents, quotes and integrations with operational systems. In this article, we explain when a B2B platform truly relieves sales representatives and when it remains only a digital catalogue that still requires emails, phone calls and manual confirmation of key information.
Commerce observability - what should be measured before go-live?
The go-live of an e-commerce platform should not be the moment when a company starts checking whether the system works properly. Key sales processes, integrations, checkout, product data, payments, queues, APIs and B2B scenarios should be observed before the store is launched. In this article, we explain what commerce observability before go-live means, which areas should be measured during testing and why good process visibility helps reduce the risk of failures, data errors and problems that customers could otherwise see immediately after launch.
AI governance in e-commerce
AI in e-commerce is no longer only about tests, prompts and individual tools. It increasingly supports real processes: product content creation, customer service, data analysis, segmentation, recommendations, development and B2B sales automation. Along with this, control over data, responsibility, result quality and security becomes increasingly important. In this article, we explain why AI governance should not be treated as bureaucracy, but as a condition for conscious, scalable and safe use of artificial intelligence in e-commerce.
Digital Product Passport in e-commerce - why a QR code is not a product data strategy
At first glance, the Digital Product Passport may look like another regulatory requirement related to a QR code or additional product information. In practice, however, it is a much broader topic that concerns the quality of product data, system architecture, ERP, PIM and e-commerce integrations, as well as responsibility for the information shared with customers, partners and regulators. In this article, we explain why the Digital Product Passport should not be treated as a separate compliance project, but as an impulse to organize the entire product information management model.