Apps Run The World

Schnellecke Software Purchases and Digital Transformation Initiatives

Discover the latest software purchases and digital transformation initiatives being undertaken by Schnellecke and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 17000 Schnellecke employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.

During our research, we have identified that Schnellecke has purchased the following applications: SAP Leonardo Machine Learning for Machine Learning and Data Science Platform in 2017, SAP Predictive Analytics for Analytics and BI in 2018, SAP S/4 HANA for ERP Financial in 2017 and the related IT decision-makers and key stakeholders.

Our database provides customer insight and contextual information on which enterprise applications and software systems Schnellecke is running and its propensity to invest more and deepen its relationship with SAP , iSolved , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.

We have been analyzing Schnellecke revenues, which have grown to $1.20 billion in 2021, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Schnellecke intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.

About the customer

The Schnellecke Group is a logistics company headquartered in Wolfsburg. With around 19,400 employees in 14 countries, the family-owned company is a global service provider in the logistics, production and transport sectors. They develop complete concepts that range from transport and warehousing to pre-assemblies and value-added services, to the sequential production of individual parts and modules, and packaging suitable for containers.

Scope and Challenges

Schnellecke provides supply logistics for the automotive industry and to ensure competitiveness and future growth, Schnellecke’s processes need to be highly efficient and error-free. Schnellecke Logistics selects SAP Predictive Analytics and SAP S/4 HANA to get better the Just-In-Sequence (JIS) delivery.

Schnellecke does not have information on the actual JIS delivery cycle, how many containers are where, if they are used in the right order, nor how many car parts have been actually used – although the overall process is Schnellecke’s responsibility. This results with lack of traceability, inefficiencies and accounting inaccuracy.

Outcome and Implications

The solution is to equip the JIS containers with active sensors (beacons) to obtain the location data in real-time. The platform provides a real-time cross-company overview of the JIS delivery cycle, increased efficiency & stability. Novel overall real-time insights on JIS delivery across the supply chain Increased efficiency and stability of the core business by reduction of manual issue handling Insights to actual revenue and costs of JIS logistics business Basis for process & asset optimization by business analytics Basis for new business models. Process optimization & automation levering SAP Machine Learning and/or HANA Predictive Analytics Migration of IT business system landscape to SAP S/4HANA.

Schnellecke Logistics SE
Stellfelder Strasse 39
Wolfsburg, 38442 , x
49 5361 3010
Industry Employees Revenue
Distribution 17000 $1.20B

Enterprise Software and Cloud Applications being used by Schnellecke

Vendor Old Product New Product Category Market Users VAR/SI When Live
Intuit Legacy Applications Intuit Mailchimp Mandrill Transactional Email PaaS n/a n/a 2021 2021
Vendor Old Product New Product Category Market Users VAR/SI When Live
SAP Legacy Applications SAP Leonardo Machine Learning Machine Learning and Data Science Platform Artificial Intelligence n/a n/a 2017 2018
Subscribe Subscribe Subscribe IoT Platform Internet of Things Subscribe Subscribe 2017 2018

IT Decision Makers and Key Stakeholders at Schnellecke

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