SUNZINET Blog

Agentic Commerce with Shopware: Current Status and Outlook for 2026

daniel.keller@sunzinet.com (Daniel Keller, Knowledge Lead E-Commerce) — Tue, 06 Oct 2026 09:17:08 GMT

Their customers are asking AI chatbots for product recommendations and are increasingly making purchases directly through them. This raises a key question for Shopware merchants: What exactly does the platform offer today in terms of agentic commerce? The short answer: By 2026, Shopware will have completed the transition from AI assistance to an agent-enabled commerce infrastructure. We take stock.

Here’s what you can expect in this article:

What defines true agentic commerce and where the term gets watered down
Which agent-based features Shopware introduced in 2026
How Shopware makes your products visible to AI platforms like ChatGPT
How to measure your maturity level using the Agentic Commerce Maturity Index (ACMI)
What Shopware merchants should do specifically right now

Agentic Commerce with Shopify: Sell Your Products on ChatGPT and More

daniel.keller@sunzinet.com (Daniel Keller, Knowledge Lead E-Commerce) — Wed, 30 Sep 2026 13:27:13 GMT

Your customers ask ChatGPT for product recommendations and make purchases directly in the chat without visiting your online store. This creates a new sales channel for retailers, one in which only those who prepare their product data for AI agents are visible. Shopify already provides the necessary infrastructure for this.

Here’s what you’ll find in this article:

What Agentic Commerce is and why it affects your Shopify store
Which Shopify tools bring your products to ChatGPT, Perplexity, and Copilot
What matters when it comes to product data and the knowledge base
Why now is the perfect time to get started
How to get started with Agentic Commerce in 4 steps

Agentic Commerce: How AI Shopping Agents Are Transforming E-Commerce

daniel.keller@sunzinet.com (Daniel Keller, Knowledge Lead E-Commerce) — Tue, 29 Sep 2026 14:22:36 GMT

AI shopping agents are fundamentally changing the way people search for, compare, and buy products. Customers no longer have to click their way through traditional online stores step by step. Instead, they express their needs in natural language, and AI agents take care of the rest: they search for suitable offers, evaluate them, and, increasingly, complete the purchase themselves. For retailers and brands, this creates a new digital touchpoint that requires reliable product data, powerful interfaces, and a tailored marketing strategy.

In this article, you’ll learn:

what distinguishes Agentic Commerce from traditional chatbots and conversational commerce,
what technical foundations and data structures make a store agent-ready,
how marketing, visibility, and specific use cases are changing in B2C and B2B commerce.

Why an editorial network is primarily about change management

Eva Rüttgers, Business Director Employee Experience — Thu, 20 Aug 2026 09:39:45 GMT

Today, digital visibility is no longer achieved solely through centralized communications or isolated content on the intranet. A successful employee experience thrives when information originates where it is relevant—within specific locations, regions, teams, and departments.

As a result, decentralized editorial networks are moving into the spotlight. They help companies broaden the scope of their internal communications, bring topics closer to employees, and ensure digital platforms remain relevant in the long term.

In this article, you will find information on:

why editorial networks often fail without change management,
the roles played by champions, executives, and clear processes,
how companies can build a sustainable editorial network and keep it running after the go-live.
Conclusion

AEO & GEO: When visibility no longer depends solely on Google

Valentin Zehnder, Digital Marketing Consultant — Fri, 14 Aug 2026 09:39:24 GMT

Digital visibility is no longer shaped by traditional search engines alone. Generative AI systems such as ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot are changing how users find information and which brands become visible.

This makes AEO and GEO increasingly important. Both approaches help companies structure their content so it can appear in direct answers and AI-generated recommendations.

In this article, you will learn:

what AEO and GEO mean,
how the two approaches differ,
how companies can improve their visibility in AI systems.

From system overgrowth to a customer platform | Read the blog now!

Christopher Eschweiler, CRM Knowledge Lead & Consultant — Thu, 18 Jun 2026 12:50:42 GMT

Too many systems, too little clarity—and the customer experience suffers.

What looks like a tool problem is actually a structural one. Fragmented systems, isolated processes, and missing connections stand in the way of scalable customer experiences. In many B2B companies, legacy system landscapes lead to friction in service, commerce, and communication.

This article explores how an integrated customer platform breaks down these silos, addresses existing challenges in a structured way, and — using a real-world example with Bystronic — shows concrete paths toward future-proof processes.

Salesforce buys Contentful: Consequences for your digital architecture

Florian Spreemann, Business Platforms — Thu, 11 Jun 2026 09:06:31 GMT

Anyone who has been following developments in the platform and MarTech market in recent months will hardly be surprised by this news: on June 1, 2026, Salesforce signed a definitive agreement to acquire Contentful, one of the leading headless CMS platforms in the world. The deal is expected to close in the third quarter of Salesforce's 2027 financial year. This raises questions for many companies that currently use both or are considering one of them. As a partner agency with experience in both ecosystems, we would like to shed some light on what this development means for companies in concrete terms and shed some light on the strategic, technological and operational issues.

In this blog article, we'll cover:

Why Salesforce and Contentful joining forces is a big deal
How their combination affects websites, business tools, and automated tasks
What might change in the market and how companies could be valued differently
When merging these platforms helps your business — and when it doesn't
Our advice as a company that works with CRM, CMS, integrations, and digital experiences every day

Improving data quality with AI: Optimising data to ensure it is clean and complete

Florian Spreemann, Business Platforms — Tue, 21 Apr 2026 14:17:36 GMT

Whether in marketing, customer service, or administration—data quality today is the foundation of almost all digital processes. Nevertheless, many organizations still work with outdated, incomplete, or incorrect datasets. The result is inefficient workflows, poor decision-making, and ultimately, dissatisfied customers. According to a study by Gartner, poor data quality costs companies an average of $12.9 million per year. This makes it clear: data quality management is not a "nice-to-have" but a direct lever for efficiency, revenue, and service quality.

Good decisions require good data—and therefore measurably high data quality. This is precisely where the targeted use of artificial intelligence (AI) comes into play: AI can automatically check, clean, and enrich data. When combined with AI data pipelines, a continuous process for improving data quality is created.

In this article, you will learn:

Why data quality is the underrated cornerstone of successful AI and CRM initiatives
How AI measurably improves data quality – from cleansing and enrichment to specific use cases
How AI data pipelines can ensure data quality in the long term – for greater efficiency, revenue and data value

AI search in the public sector: Data pipelines for better services

Florian Spreemann, Business Platforms — Tue, 14 Apr 2026 11:46:13 GMT

In many digital offerings, the search function is either the silent hero or the biggest source of frustration. Especially in the public sector—such as in citizen services—users want to find content, not search for it. However, according to a study by the Baymard Institute, over 27% of users abandon digital services when the search function delivers poor results.

The challenges are particularly great in the public sector: complex administrative portals, legal jargon, and nested navigation make it difficult to resolve matters quickly. The result is additional phone calls, emails, and frustration on both sides.

The good news: AI-powered search technologies offer a genuine alternative to traditional keyword search.

In this article, you will learn:

Why traditional search fails – and how AI does it better,
How AI search is used in the public sector and the technology behind it,
Requirements and added value for public sector organisations

AI Glasses – The end of the smartphone? | Read our blogpost now!

Sebastian Spill, CTO SUNZINET — Thu, 08 Jan 2026 09:36:41 GMT

For over 15 years, the smartphone has been our central gateway to the digital world. But a new class of device is poised to replace this paradigm: AI glasses. With voice control, AR overlays, and direct integration with AI assistants, these glasses promise to make many smartphone applications obsolete. However, despite their promising advantages, several challenges remain that must be overcome for them to achieve widespread acceptance and use.

In this article we look into:

how user behavior might change with regard to Agentic AI,
what technological opportunities and challenges exist for Agentic e-commerce and digital visibility,
and which systems provide solutions for the future.