Anyone researching a medical product, insurance policies, or even making a major investment in their home is increasingly less likely to start on a traditional website. Instead, many users now begin their research directly in AI systems such as ChatGPT, Gemini, or Perplexity. Answers are summarized, prioritized, and typically already include specific recommendations and brand mentions.

In the first post of this series, we argued that architecture should come before tools: Platform decisions do not fail because the wrong tool gets picked, but because architecture enters the conversation too late. Fair enough. But at some point, you have to pick a tool. The question is how. And for most organizations, my honest answer is: often badly. A CTO reads a Gartner report. A project lead attends a vendor event. Someone in procurement remembers a name from a previous job. Three demos get scheduled. Features get compared in a spreadsheet. The tool with the best demo wins. This post describes a different approach. One that starts with your own strategic context, reduces the market systematically before you ever talk to a vendor, and ends with a shortlist that represents genuinely different architectural options rather than three flavours of the same thing.

How mid-market leaders in wholesale, manufacturing and automotive unlock the full potential of B2B eCommerce by connecting their commerce platforms to SAP S/4HANA and why the integration layer is the decisive competitive differentiator.

Why delivery problems rarely arise where you expect them – a short story from a real client project “Everything is running quite well.” That’s how the conversation with the team in one of our client projects began. Collaboration was smooth, processes were stable, and new features were regularly going live. There were no major disruptions, no obvious problems. Shortly after, another conversation – this time with management: “We’re investing a lot – but the impact just isn’t there.” Two perspectives that contradict each other. And yet, both reflected reality.

Starting June 19, 2026, the so-called electronic withdrawal button will become mandatory in e-commerce. In the future, consumers will be able to withdraw from contracts concluded online much more easily: e-commerce companies will be required to provide a digital withdrawal function via a button.The situation in Europe has also fundamentally changed. Since June 2025, the European Accessibility Act (EAA) and Germany’s Accessibility Strengthening Act (BFSG) have introduced binding requirements for digital accessibility. Companies that fail to comply face not only fines and legal action, but also reputational damage and revenue loss.

Artificial intelligence has long been part of everyday work, especially in IT. It supports error analysis, code writing, reviews, and test automation.

This post is the starting point of a series about how to make better platform decisions. Not by buying better tools, but by designing better architecture.

US retailer Fashion Nova recently paid a high price for a critical oversight: its online shop was not usable with screen readers, violating the Americans with Disabilities Act (ADA). People with disabilities filed a lawsuit—and won. A US court imposed a $5.15 million fine on the retailer, sending a strong warning signal to businesses worldwide. The situation in Europe has also fundamentally changed. Since June 2025, the European Accessibility Act (EAA) and Germany’s Accessibility Strengthening Act (BFSG) have introduced binding requirements for digital accessibility. Companies that fail to comply face not only fines and legal action, but also reputational damage and revenue loss.

Success now depends on context engineering, the ability to architect digital strategies and AI systems that use the right data, at the right time, in the right workflow. This blog spotlights SAP’s most recent innovations, equipping CIOs, CTOs, and business leaders with actionable insights for the journey ahead.

Marketing is evolving at breakneck speed—and luckily, our tools are keeping pace. On Thursday, March 26, 2025, I attended the Salesforce Partner Day in Munich on behalf of diva-e conclusion as Salesforce SUMMIT Partner. The roadmap they showed us for Marketing Cloud Next (Agentforce Marketing) convinced me once again: the new era of AI has officially arrived in marketing, taking our capabilities to an entirely new level. Marketing Cloud Next isn't just an update; it's a strategic milestone. It brings the power of AI directly into our daily workflows, making much of what we already do well even more intuitive and seamless. Here are my top takeaways from Munich.

Discover how SAP’s AI Product Description Agent, powered by Joule and the CX AI Toolkit, transforms commerce content creation into an intelligent, data-grounded process that scales creativity and trust.

Traditional SEO metrics such as rankings, clicks, and impressions are increasingly losing relevance in the context of AI search. When answers are generated directly by systems like ChatGPT, Google AI Overviews, or Perplexity, the logic of visibility fundamentally changes:

The following insights highlight the challenges currently shaping different industries and outline the strategies companies can use to remain successful in the long term.

In every sales or service interaction, time is the true currency of credibility. Reps lose hours searching through emails, PDFs, and CRM systems to find the right answer. What if your enterprise systems could instantly think, search, and respond like a well-informed colleague?

For the eighth consecutive year, Salesforce Marketing Cloud has been named a Leader in the Gartner Magic Quadrant for Multichannel Marketing Hubs (MMH). This recognition highlights Salesforce’s sustained innovation and strong commitment to helping marketers deliver personalized, data-driven experiences at scale.

In 2026, AI search is no longer a trend – it’s reality. What was once considered a supplement to traditional search is now visibly reshaping the rules of the game. AI overviews, chatbots, and virtual assistants are increasingly delivering the first answer – and with it, capturing attention. Traditional top-10 rankings are steadily losing relevance.

Online retail is undergoing a perceptible transformation. Instead of clicking through shops, comparing prices, and making decisions manually, intelligent AI agents are increasingly taking over these tasks.

GAIO/GEO optimization will become a crucial strategic tool for decision-makers, marketing, and digital professionals who need to systematically align their brand with the new search reality.

Imagine generative search (AI overviews) as a highly intelligent assistant. This assistant doesn’t just read what’s written—it evaluates the credibility of a source using precise criteria. Surface-level content is ignored, while content with real substance gets cited and referenced. Find out more about GAIO and SEO for AI here.

The SAP CX AI Toolkit is a collection of AI-powered features directly integrated into SAP CX products. Its purpose is to automate everyday tasks, deliver content faster and with higher quality, and enhance customer experiences in a targeted way.

Data is no longer a side issue – it is the fuel of modern, data-driven companies. Those who use it correctly create efficiency, transparency and trust – internally and externally. Our partner Stibo Systems is one of the most powerful solutions in the field of Master Data Management (MDM). But whether you are already using the system or still evaluating it: what really matters is how you use it.