even
← Back to glossary

Systemlandschaft Logistik

Also: IT-Systemlandschaft Logistik, Logistik-IT-Landschaft, Systemarchitektur Logistik, IT-Architektur Logistik, Applikationslandschaft Logistik

AI-generated

In brief

The logistics system landscape refers to the totality of all IT systems, applications and integrations deployed within a company for warehousing, transportation and supply chain operations. It encompasses both the individual solutions and their data flows and mutual dependencies.

Key facts

What is the logistics system landscape?

The logistics system landscape describes the complete picture of all IT systems a company uses for its logistics processes – from procurement through warehouse management to delivery. This includes not only the individual applications, but also the interfaces, middleware components and data flows that connect these systems with one another. The system landscape can be documented as a current state (as-is) or planned as a target state (to-be).

Typical components of a logistics system landscape include:

  • ERP systems for order management, procurement and financial data
  • Warehouse Management Systems (WMS) for warehouse control
  • Transport Management Systems (TMS) for transport planning and carrier connectivity
  • Material Flow Controllers (MFC) or Warehouse Control Systems (WCS) for conveyor and automation technology
  • Yard management solutions, telematics and track-and-trace platforms
  • Business Intelligence (BI) and analytics tools for reporting and planning
  • Integration layers such as ESB, API gateways or EDI converters

How does the system landscape work in practice?

In day-to-day operations, the systems within a logistics landscape are rarely built as a single cohesive whole. Over the years, a web of different applications from various vendors has typically grown up, held together by individual interfaces. An incoming order from the ERP, for example, triggers processes in the WMS, which in turn sends control commands to the WCS and passes shipping data to the TMS. At each of these handover points, data errors, latencies or failures can occur.

Visibility into these dependencies is critical: anyone who does not know which system is the leading source for which data risks inconsistent inventory levels, duplicate data maintenance or integration errors when systems change. For this reason, the system landscape is typically captured in architecture diagrams, system inventory lists or enterprise architecture tools.

What matters when evaluating and evolving the system landscape?

When selecting new systems or modernising existing solutions, knowledge of the current system landscape is a fundamental prerequisite. Only those who are familiar with the existing interfaces, data standards and system responsibilities can realistically estimate implementation effort and factor in risks.

Key evaluation criteria include: the number and complexity of existing integrations, the question of whether standardised APIs or proprietary interfaces are in use, data ownership for central master data such as articles or storage locations, and the ability of existing systems to support future requirements such as real-time visibility or automation. Whether a best-of-breed approach or an integrated suite is the better fit depends heavily on the existing system landscape and internal IT resources – no blanket recommendation can be made here.

Frequently asked questions

The system landscape includes all IT systems that support logistics processes: typically ERP, WMS, TMS, WCS as well as integration components such as API gateways or EDI converters. BI systems, yard management solutions and telematics platforms are also part of it, provided they are integrated into logistics processes.

Related terms

Matching categories