Informationslogistik
Also: Informations-Logistik, Information Logistics, Informationsflussmanagement Logistik, Logistische Informationssteuerung
AI-generated
Information logistics refers to the systematic planning, control, and optimization of all information flows required to execute and monitor logistics processes.
Key facts
- Information logistics governs when, where, and at what level of quality data is made available to logistics processes.
- Media breaks between systems and partners are the most common cause of information loss in the supply chain.
- Master data quality is the fundamental prerequisite for effective system integration and automated data exchange.
- Information logistics is a conceptual and organizational discipline — IT systems implement it, but do not replace it.
- Clear data ownership and defined interfaces between partners are key success factors.
What is information logistics?
Information logistics describes the concept of managing information in logistics with the same deliberate approach applied to physical goods. Data must be available at the right time, in the right quality, and in the right format wherever a decision or subsequent action requires it. This may sound obvious, but in practice it rarely is: disparate systems, media breaks between departments, and external partners with their own data formats mean that information often arrives too late, incomplete, or inconsistent.
Information logistics encompasses master data quality, integration architecture, electronic data interchange (EDI), document flows, process status tracking, and structured reporting, among other things. An important distinction: information logistics is an organizational and conceptual discipline. IT systems such as WMS, ERP, or TMS are tools that implement the concept technically — but they are no substitute for a well-thought-out information strategy.
How does information logistics work in practice?
In practice, information logistics begins with the question of which system serves as the leading source for which data. Without this clarity, redundancies and contradictions arise: the item master in the ERP deviates from the WMS dataset, delivery note numbers do not match carrier data, and stock figures vary depending on the query channel.
The key design areas include:
- Master data quality: Consistent, complete, and well-maintained item data, vendor data, and location data form the foundation of all downstream processes.
- System integration: API-based connections or EDI links ensure that data flows automatically between systems and partners without manual transfer.
- Document flows: Delivery notes, customs documents, bills of lading, and invoices must be embedded in processes and handled without media breaks.
- Transparency and reporting: Order status, inventory levels, and shipment tracking must be retrievable in real time or with a defined latency — for internal decision-makers and external partners alike.
What matters when designing information logistics?
Three questions are critical during the design phase: First, who bears organizational responsibility for which data domains? Without clear data ownership, quality assurance is left to chance. Second, how are external partners connected — via direct EDI links, portals, or modern APIs? The choice affects integration effort, flexibility, and responsiveness. Third, how is information logistics factored into change processes? Anyone introducing new systems or restructuring processes should treat information flows as a standalone design object from the outset, not as a downstream IT task.
For logistics management and warehouse planning, information logistics is the decisive lever for reducing exception cases, making vendor performance comparable, and enabling end-to-end visibility in the first place.
Related terms
- API
An API (Application Programming Interface) is a defined interface through which two software systems can exchange data in an automated and standardized way. In intralogistics, it connects systems such as WMS, ERP, or TMS with one another and with external services.
- Artikelstammdaten
Item master data refers to the permanently valid base data of an item – such as dimensions, weight, packaging units, hazardous goods classification, and best-before date relevance. It forms the foundation for all logistical, procurement-related, and system-driven processes along the supply chain.
- Auftragsabwicklung
Order fulfillment refers to the complete process from receiving a customer order through to its successful delivery and invoicing. It encompasses all operational and administrative steps required to fulfill an order on time and without errors.
- Avisierung
Pre-advice refers to the advance notification of a delivery by the supplier to the recipient before the goods arrive. It enables the warehouse to plan staffing, dock capacity, and put-away processes in a timely manner.
- BI
Business Intelligence (BI) refers to the systematic collection, preparation, and analysis of company data to support informed decision-making in logistics and supply chain management.
- Bewegungsdaten
Movement data captures all transactions and physical goods movements in the logistics process – from goods receipt and stock transfers to dispatch. It contains timestamps, quantities, locations and the units involved, and forms the basis for transparency, control and analysis in warehouse and…
- DESADV
DESADV (Dispatch Advice) is a standardized EDI message in EDIFACT format that electronically announces an upcoming delivery. It transmits structured information on packaging units, items, quantities, and identifiers such as the SSCC to the goods recipient.
- Datenbank
A database is a structured system for the persistent storage, management, and querying of data. In intralogistics, it forms the technical foundation for WMS, ERP, and TMS by reliably maintaining master data, transactional data, and historical records.
- Disposition
Disposition refers to the operational planning and control of resources, quantities, and orders in logistics – for example in transport or materials disposition. It encompasses capacity assignment, scheduling, prioritization, and response to disruptions.

