Xentral 2026: These Innovations Every Shopware Merchant Should Know

What's changing around Xentral in 2026

Anyone running Shopware in the frontend and using Xentral as their ERP system, or planning to switch, will quickly notice: development is shifting away from individual modules toward fully automated process chains. The year 2026 brings three major directions: a reimagined financial accounting system, AI agents on an API-first foundation, and automation that works without external middleware. Added to this are regulatory and market-side developments that affect commerce regardless of the system in use.

Accounting and finance: new General Ledger, new tax module

Xentral is rebuilding the accounting and finance area from the ground up. At its core is a new General Ledger, complemented by a revised tax module and automated workflows. The stated purpose: to relieve growing commerce businesses whose financial processes must scale with order volume.

Three building blocks that converge in a single system are especially relevant to you in practice: DATEV export, payment reconciliation, and dunning. Automating these steps not only relieves the finance team but also speeds up incoming payments.

When it comes to dunning, a second look at the configuration pays off. Many teams have activated automation but still manually check open items, manage exceptions, and stop reminders for long-since-paid invoices. This is not a limitation of the software but a configuration issue: with the right parameters, the manual share can be significantly reduced. Whether the effort is worthwhile can be clarified with a simple ROI assessment—the threshold is usually lower than many expect.

Another point from practice: financial processes become unstable when they are organized around people rather than systems. As soon as a finance team grows, it is often no longer clear who is responsible for which reminder. A cleanly defined process within the ERP solves exactly this problem.

AI agents and the Agentic ERP

The second major strand is the use of AI in the ERP. Benedikt Sauter, Co-CEO of Xentral, explains how AI agents work concretely in the ERP system—and where their limits lie. The decisive prerequisite is not the model but the foundation: without clean master data and defined processes, agents cannot work independently or prepare decisions.

Technically, this approach is carried by the Xentral API. It is described as the invisible foundation of the Agentic ERP—making API-first less an architectural detail than the condition for automation to work across system boundaries. For Shopware operators this means: the more consistently product, inventory, and customer data flow between shop and ERP, the more can later be handed over to agents.

That this can produce measurable effects is shown by the example of Brooklyn Soap: instead of running another tool for each new channel, the focus is on recovering margin through consolidated, clean processes.

Automation without code—and without middleware

With the Xentral Flow Editor, you build your own automations via drag-and-drop, without coding knowledge and without developer resources. A good rule of thumb for assessment: if your team needs more than three clicks per order, there is probably a flow that handles this step directly in the ERP.

The comparison with external automation tools such as Zapier or Make is interesting. These are quick to set up and useful in certain scenarios. However, as soon as a company scales, they incur significantly higher costs compared to native ERP workflows—and are less stable, because an additional layer sits between the systems.

Inventory, channels, and locations

Inventory synchronization remains a perennial topic. For connecting trading partners, EDI, CSV, and API are available—the relevant question is not how they work, but which method stays stable when volume increases and the partner allows no exceptions.

At the same time: unsynchronized shop inventories lead to overselling and negative stock—and thus directly to revenue losses. The situation is similar in multichannel sales, where data chaos typically sets in from the third connected channel onward. Anyone operating multiple locations additionally needs a uniform set of roles, workflows, and permissions so that all parties work by the same rules without having to constantly coordinate.

Finally, the cost of poor master data should not be underestimated: it manifests in returns, errors, and downtime. A cleanly set up ERP data model prevents exactly this kind of damage.

Market and regulation: the News Bits 01/26 to 03/26

Xentral summarizes developments in commerce monthly. The focus of the first editions of 2026: new AI standards, growing platform pressure, and rising expectations for checkout, shipping, and communication in January. In February, the focus was on more regulation, more AI, and increasing pressure on margins and processes. The March edition covers how AI is changing purchasing behavior and merchant liability, that marketplaces are opening up further, and which two regulatory topics now belong on the agenda.

Visibility, channels, and community

On the sales side, new channels are moving to the fore. AI Search Optimization describes how products appear in answers from AI systems, because users increasingly ask questions instead of entering keywords. For customer communication, WhatsApp remains a channel hardly used professionally—despite millions of daily users in Germany. And for international scaling, Xentral provides a guide to Amazon expansion into new EU markets.

For those seeking exchange: the Xentral Event Highlights 2026 bundle all dates where the team can be met in person. Additionally, partner profiles such as that of BDG Solutions—a Xentral partner from the very beginning with over 400 projects—or CommerceOS show how specialized partners implement commerce platforms on a Xentral basis.

This article was created with the support of artificial intelligence and was editorially reviewed.