Cloud Computing für Logistik
Also: Cloud Logistik, Logistik Cloud, Cloud-basierte Logistiksoftware, Cloud Computing Logistik, SaaS Logistik, Cloud WMS, Cloud TMS
AI-generated
Cloud computing for logistics refers to the operation of logistics software and data platforms via external cloud services instead of on-premises data centers. Typical applications include warehouse management systems, transportation management systems, track-and-trace, as well as BI and integration platforms.
Key facts
- Cloud computing for logistics encompasses the external operation of WMS, TMS, track-and-trace, and BI platforms via SaaS, PaaS, or IaaS models.
- The shared responsibility model divides accountability for data security between the company and the cloud vendor.
- Vendor lock-in, data sovereignty, and exit capability are key risks that must be evaluated before signing a contract.
- Cloud costs typically arise as recurring OpEx expenditures, which requires long-term cost planning.
- Cloud is an operating model and does not automatically mean better logistics functionality than on-premises solutions.
What is cloud computing for logistics?
Cloud computing for logistics describes the model in which IT resources, applications, and data platforms are not operated in a company's own data center, but are instead sourced via the internet from a cloud vendor. The three fundamental service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). In logistics practice, SaaS dominates: warehouse management systems (WMS), transportation management systems (TMS), track-and-trace solutions, business intelligence platforms, and integration layers run at the vendor's site, with the vendor also responsible for operations, updates, and infrastructure. Whether a public cloud, private cloud, or hybrid model is used depends on security requirements, data protection regulations, and integration depth.
How does cloud computing work in day-to-day logistics?
In day-to-day operations, cloud means above all for logistics teams: shorter deployment times for new features, automatic software updates without internal patch cycles, and the ability to scale capacity quickly during seasonal peaks. Integrations with ERP systems, carriers, or marketplaces are typically handled via APIs, EDI gateways, or iPaaS platforms. Responsibility for data security, encryption, and access control is shared between the company and the cloud vendor — the so-called shared responsibility model. Downtime and incident escalation are governed by service level agreements (SLAs), the specific terms of which vary by vendor.
What matters when making a selection?
When deciding on a cloud solution in logistics, several aspects need to be evaluated:
- Data sovereignty and compliance: Which data may move to the cloud, and what regulatory requirements — such as GDPR or industry-specific regulations — apply? Storage location and sub-processing must be contractually defined.
- Integration: How reliably can existing systems such as ERP, WMS, or carrier systems be connected? Open APIs and standardized interfaces reduce dependencies.
- Vendor lock-in and exit capability: How complex is switching vendors? Data export formats, contract terms, and migration paths should be reviewed in advance.
- Cost model: Cloud costs are often usage-based and recurring (OpEx), which differs from traditional CapEx models. Long-term cost projections are vendor-specific and should be calculated realistically.
- Availability and support: SLAs must include specific response times, escalation paths, and compensation terms.
Cloud is an operating model, not automatically superior functionality. Whether cloud or on-premises is the better choice depends on company size, IT capabilities, security requirements, and strategic direction.
Related terms
- AI
Artificial Intelligence (AI) refers to systems that learn from data, recognize patterns, and on this basis support or automate decisions.
- 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.
- Auftragsmanagement
Order management refers to the systematic control and monitoring of orders throughout their entire lifecycle – from capture through prioritization and status tracking to completion. It forms the operational link between sales, logistics, purchasing, and IT.
- 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.
- Best-of-Breed
Best-of-Breed refers to an IT strategy in which the highest-performing specialist solution is selected for each function within the organization — rather than deploying a single suite from one vendor.
- Best-of-Breed vs Best-of-Suite
Best-of-Breed refers to an IT strategy in which the most specialized individual system is selected for each logistics process – as opposed to Best-of-Suite, where an integrated platform from a single vendor covers multiple processes.
- Bestandsmanagement
Inventory management refers to the systematic planning, control, and monitoring of stock levels across the entire supply chain. The goal is to ensure delivery capability while keeping capital commitment and warehousing costs within economically viable limits.