Industry - Digitalisation - Data analytics
Data science & AI use cases
Identifying and evaluating monetizable data science & AI use cases at an international plant and mechanical engineering company
Learn moreData Science & Artificial Intelligence (AI)
Data science & AI are important enablers for the profitable growth of your company. We ensure that you leverage and monetise its opportunities and potential. We advise you and develop customer-specific solutions.
Data Science & AI – Consulting
We support you in setting the conditions to profitably use data science & AI.
Data science & AI potential identification
- Kick-off workshop
- Maturity assessment
- Data science & AI strategy, vision, roadmap
- Use case evaluation
Data management & governance
- Data strategy & roadmap
- Data quality assessment & improvement
- Data security & compliance
- Data infrastructure & architecture
- Data acquisition
Integration & training
- IT infrastructure & application architecture
- Evaluation of solutions & partners
- Implementation of solutions
- In-house training, Z Academy
Data Science & AI – Software Development
We collaborate with our clients to develop bespoke solutions that leverage data science and AI. Our approach combines your domain expertise, our industry-specific knowledge, and our data science and AI capabilities to deliver unique and effective solutions.
Applications for «smart products & smart services»
- Condition monitoring, predictive maintenance
- Parameter optimisation, autonomous adaption
- Process & quality control
- Anomalies detection
- Optimisation of process media consumption
- Operator guidance (HMI)
- Self-servicing
Applications for «intelligent processes»
- Product & service development
- Product & service portfolio management
- Marketing & sales
- Forecasting, S&OP
- Procurement
- Production
- Logistics
- After sales service
USE CASES DATA SCIENCE & AI
Industry - Digitalisation - Data analytics
IoT strategy and technical concept
Developing a customer-centric IoT strategy with the associated technical concept for an international plant and mechanical engineering company
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Industry - Digitalisation - Data analytics
Computer vision for quality management
Developing a computer vision solution to identify quality problems and defects for an international manufacturer of quality management solutions
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Industry - Digitalisation - Data analytics
Smart operations cockpit
Developing and implementing a Smart Operations Cockpit to improve productivity and quality at an international medical technology company
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Industry - Digitalisation - Data analytics
OEE improvement of an automated warehouse
Development of a condition monitoring system to improve the performance and service life of an automated high-bay warehouse with conveyor technology at an international food company
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Industry - Digitalisation - Data analytics
Smart CRM data quality improvement
Analysis and improvement of CRM data quality based on data science for an international plant and mechanical engineering company
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Industry - Digitalisation - Data analytics
Selfservice Procurement BI
Short-term development of a self-service procurement BI based on data science for a machine tool manufacturer
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Selfservice Procurement BI
Short-term development of a self-service procurement BI based on data science for an international medical technology company
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Self-learning forecasting algorithm
Development of a self-learning algorithm for sales forecasting for an international construction equipment company
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Smart customer segmentation & profiling
Customer segmentation/profiling based on data science for the service business of an international mechanical engineering company
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Industry - Digitalisation - Data analytics
Facilities monitoring
Developing and testing a facilities monitoring prototype (performance, conditions, predictions) for an international machine tools manufacturer
Learn moreARRANGE A MEETING WITH OUR DATA SCIENCE & AI EXPERTS
Philip Zellweger
Lead Engineer Data Science & AI
"Everyone is talking about artificial intelligence (AI) these days. Nevertheless, the topic is still not sufficiently concrete for many companies. The realisation of AI-supported solutions requires skills and competencies that are not available in many companies. With state-of-the-art software engineering combined with our many years of consulting experience, our data science & AI team develops innovative solutions."
Patrick Zellweger
Lead Engineer Data Science & AI
"The business and optimisation potential through the use of data science & AI is only partially addressed in most companies. Many companies are not aware of the existing potential that arises from existing data and the use of state-of-the-art technologies and algorithms. Our data science & AI team supports companies in monetising this potential."