AI in Logistics and Manufacturing
- Home
- Services
- Industries
- Logistics and Manufacturing
Optimizing Supply Chains
and Production Management
with our Data and AI Solutions
Logistics and manufacturing companies generate vast amounts of data across their supply chains daily. Artificial intelligence is uniquely suited to analyze and transform this data into actionable insights. In logistics, AI helps shift operations from reactive to proactive approaches, improving planning accuracy and turning rough estimates into precise forecasts. In manufacturing, AI optimizes production workflows, predicts machine maintenance needs, and enhances resource efficiency.
By strategically integrating AI, companies can streamline existing processes while also developing innovative solutions that make both manual and automated workflows more efficient. AI also enables the personalization of services and production processes, allowing businesses to create customer-centric, demand-driven solutions. This not only strengthens competitiveness but also builds flexible structures that support agile market adaptation.
With insights from over 2,500 projects, we have developed a comprehensive framework for data and AI initiatives – our [at] Data Journey. This holistic approach helps companies identify and expand their strengths while guiding them through the transformation process. By leveraging AI, logistics and manufacturing businesses can drive efficiency, boost resilience, and accelerate future-proof innovation.
Partnering with [at]
for Your Data and AI Needs
Leader in AI and Big Data
We have been recognised as a #1 Value Creator in Machine Learning by CRISP Research and as a Big Data Leader in Germany by Experton.
Technology-independent Consulting & Implementation
We are manufacturer-independent, allowing us to always find the right technology that best suits your unique requirements. Our experienced data engineers and data scientists work closely with you to develop customized solutions and successfully implement them in your organization.
Expert in Finance and Insurance
We have successfully completed over 2,500 AI and data science projects.
Our case studies
Discover selected examples from our projects. Each reference shows industry-specific solutions for your unique requirements.
Our Approach:
The [at] Data Journey
![[at] Data Journey by Alexander Thamm GmbH, Data Strategy, Data Lab, Data Factory and DataOps in einem Flowchart](/fileadmin/_processed_/5/a/csm_journey_16.9_bef71ec01f.png "[at] Data Journey")
Our Digital Journey offers a holistic framework for data and AI projects, allowing us to fully understand our clients' challenges and provide tailored, effective solutions.
It encompasses four intertwined practices: Data Strategy, Data Lab, Data Factory, and DataOps. This holistic approach to planning and implementing Data and AI projects allows us to maintain a continuous overview of cutting-edge technologies and trends. Additionally, this setup provides our customers access to a qualified team of experts who can address and assist with various issues at every stage of the journey. Note that although our Digital Journey is a holistic concept, its individual components and services can also be accessed independently. Nevertheless, all areas are integrated into every project. This is how we turn data into real value.
We support your data project – from the initial idea to the final product.
Get expert advice
Want to explore the potential of AI and Data Science for your business? Interested in learning more about our use cases and technology? Talk to our experts!
Contact