Integration Services

Stable data flows between ERP, PIM, CRM, commerce, and other systems – so processes, revenue, and customer experience can scale.

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Title
Integration That Works in Daily Operations
Introduction
System integration should not stand out – it should simply work. But clean integration determines whether product data is accurate, prices are correct, stock levels are reliable, and orders are processed properly. When data is distributed across multiple systems, media breaks, manual corrections, and unnecessary dependencies between teams often arise. Integration should help avoid these gaps, keep data consistent, and simplify workflows across all channels – so teams can execute faster and daily operations run more smoothly.
Introduction Second Column
We deliberately use standardised data logic because integrations otherwise quickly become individual one-off solutions. Recurring data entities such as products, categories, prices, inventory, customers, addresses, and orders are managed in a consistent model and connected to each system accordingly. This keeps the architecture stable, even when ERP, PIM, or CRM systems change. What matters is that data flows are traceable and operations are secured with monitoring and clear responsibilities.

  1. Integration Design

    Target architecture, data objects, responsibilities, and integration principles to keep interfaces predictable.

  2. API & Integration Layer

  3. ETL & Data Pipelines

  4. ERP Integration & Transactions

  5. PIM, CMS & Content Flows

  6. Customer Data, CRM & CDP

  7. Operations, Monitoring & Reliability

Our Approach

A proven approach reduces risks and makes complexity manageable. Depending on the starting point, individual steps can be combined or extended – the logic remains the same.

  1. Clarify Use Cases, Data Objects, and Objectives

    We define the key processes (e.g. product data, orders, customers, content), data ownership, and target metrics (stability, time-to-market, less manual work).

  2. Define Integration Design and Data Logic

    We create the target architecture, define mapping rules, and determine which flows are implemented as API-based, event-driven, or ETL/ELT pipelines.

  3. Implementation with Standards and Reusable Patterns

    We integrate using APIs, standard connectors, and proven building blocks. Custom development only where it is genuinely required for your data logic or processes.

  4. End-to-End Testing and Go-Live Assurance

    We test data flows and critical processes (including error scenarios), document interfaces, and ensure a clean release and rollback procedure.

  5. Operations, Monitoring, and Continuous Improvement

    Monitoring, error handling, retries, alerts, and runbooks ensure integrations remain stable in daily operations and grow with the business.

Integration in Practice

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  • Product Data Synchronisation

    PIM or ERP as the source, distribution into commerce including attributes, variants, media, and translations.

  • Pricing and Conditions Logic

    Map price lists, customer groups, promotions, vouchers, and discounts consistently across systems.

  • Order and Status Processes

    Integrate order-to-cash data flows (including payment) reliably, including feedback on status, delivery, and returns.

  • Inventory and Availability

    Integrate inventory management and availability logic so that shops and POS receive reliable signals.

  • Customer Data, Consent, and Events

    Connect customer accounts, addresses, preferences, and consent logic with CRM, CDP, and marketing automation.

  • POS and Omnichannel Flows

    Keep sales, availability, and product information consistent across POS and digital channels.

  • BI, Analytics, and AI Readiness

    Prepare commerce and process data so that reporting, segmentation, and AI applications can build on them.

  • Monitoring and Error Handling

    Errors are made traceable: logging, alerts, retries, and clear responsibilities.

FAQ

Because they directly affect revenue and customer experience. When prices, stock levels, or order statuses are incorrect, support costs, returns, and loss of trust follow. Integration is therefore a business topic, not just a technical one.

No. What matters is that data objects, responsibilities, monitoring, and operational processes are clear. We translate complexity into clear decisions, risks, and priorities.

Commonly ERP, PIM, CRM, CMS, marketing automation, POS, CDP, and BI. Depending on the setup, marketplaces, payment providers, shipping providers, or specialised solutions are added.

Both, but with a clear priority: standards first, existing modules, and clean API design. Custom development only where it is necessary for processes or data logic and remains maintainable long-term.

For us, AI is not a replacement for clean data flows but an accelerator. When data objects, events, and data quality are in order, AI use cases can be implemented reliably – such as improved search, content enrichment, recommendations, support automation, or forecasting. We prepare the necessary data via APIs or ETL/ELT pipelines for BI, CDP, or AI workloads.

With monitoring, error tracking, retries, clear runbooks, and documented responsibilities. Integrations are treated as an operational process, not a one-time project delivery.

We decouple processes and data objects through a stable integration and data layer and rely on a consistent data model. This keeps the logic stable, even when the ERP changes or expands. We have experience with Opacc, SAP, Infor, and Microsoft Dynamics 365 and NAV, among others – and apply these patterns to other ERP and industry solutions as well.

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We build reliable data flows between systems so that commerce processes run stably and new channels can be launched faster.

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