Planning - Data science & AI - Planning
Analysis and design of planning processes and organisation
Conducting a planning process and organisational analysis for an international supplier of medical devices and pharmaceuticals
Learn moreAI 360° Assessment X: AI readiness is the key to scaling and creating value with AI
Check your AI readiness now and identify where you need to take action.
How AI-ready is your company?
Many companies invest in AI, but only a few manage to scale up and make the most of its benefits. The biggest hurdles are infrastructure and technology, change management, measurability, and ROI verification.
There is a lot of catching up to do, particularly with regard to infrastructure and technology, for which there is a significant investment backlog.
AI readiness is not just a technical issue; it is also becoming a key differentiator and driver of innovation for business models, products, services, value streams and processes. Those that are not prepared risk falling behind in the short to medium term and losing their competitive position.
Our AI readiness assessment addresses five dimensions:
- Strategy
- Infrastructure and technology
- Data
- Governance
- Talent and culture
We assess AI readiness using an analysis of figures, data and facts, an online self-assessment, validation interviews and a readiness workshop. AI readiness is determined based on our proven Zellweger maturity model.
This offer is also part of our AI Journey (learn more).
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Browse through the interesting Data Science & AI cases
Data science & AI
Advanced analytics for value & cost engineering
Quantifying potential for manufacturing cost reduction based on value & cost engineering at an international mechanical engineering company.
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Data science & AI
Advanced analytics in procurement
Comprehensive, in-depth analysis of procurement-relevant data to identify optimisation potential regarding material and manufacturing costs, supplier performance, inventory and internal process costs at an international mechanical engineering company.
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Data science & AI
Advanced analytics in assortment management
End-to-end analysis of the product range and definition, simulation of measures to streamline the range for an international manufacturer of cable and communication solutions.
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Data science & AI
Advanced analytics in service
Conducting a deep dive analysis to identify growth potential for the service business at an international mechanical engineering company.
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Data science & AI
Advanced analytics in production
In-depth analysis to optimise productivity, quality, delivery reliability and costs in production (manufacturing, assembly) at an international machine tool manufacturer.
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Data science & AI
Advanced analytics in sales
Identifying optimisation approaches to increase market pressure in sales for an international mechanical engineering company.
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Planning - Production - Procurement - Logistics - Data science & AI - Digital Processes - Digital business
Definition of SCM processes and organisation, as well as rough requirements for replacement filling systems
Process and organisational development in the supply chain for an international beverage manufacturer, including a rough evaluation of replacement filling systems
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Data science & AI
Advanced analytics in IT
Conducting a deep dive analysis to achieve a substantial reduction of IT costs at an international industrial technical service provider.
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Data science & AI
Advanced analytics in forecasting and S&OP
Evaluating optimisation potential (forecasting accuracy, inventory) of forecasting and S&OP at an international building materials supplier.
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Data science & AI
Advanced analytics in the spare parts business
Conducting an end-to-end analysis to optimise the spare/wear parts business (growth potential, delivery performance, costs, inventory) of an international machine tool manufacturer.
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Data science & AI
Advanced analytics in logistics
Conducting an end-to-end analysis of distribution logistics to optimise OTIF, delivery times, inventory and costs at an international manufacturer of components for the electrical engineering industry.
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Industry - Digitalisation & AI - Data science & AI
Data science & AI use cases
Identifying and evaluating monetizable data science & AI use cases at an international plant and mechanical engineering company
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Industry - Digitalisation & AI - Data science & AI
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 & AI - Data science & AI
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 & AI - Data science & AI
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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Industry - Digitalisation & AI - Data science & AI
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 & AI - Data science & AI
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 & AI - Data science & AI
Smart CRM data quality improvement
Analysis and improvement of CRM data quality based on data science for an international plant and mechanical engineering company
Learn moreIndustry - Digitalisation & AI - Data science & AI
Selfservice Procurement BI
Short-term development of a self-service procurement BI based on data science for an international medical technology company
Learn moreIndustry - Digitalisation & AI - Data science & AI
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
Learn morePrivate Equity - Digitalisation & AI - Data science & AI
OpEx 4.0 tools
Developing digital, data-based tools for shopfloor analysis for portfolio companies of a European private equity company
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Industry - Digitalisation & AI - Data science & AI
Facilities monitoring
Developing and testing a facilities monitoring prototype (performance, conditions, predictions) for an international machine tools manufacturer
Learn moreOur experts
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Thomas Zellweger
CEO
"Data science & AI offer great opportunities to clearly differentiate yourself from the competition through innovative products and services. It is crucial for success to consistently utilise the potential of these technologies."
Patrick Zellweger
Lead Engineer Data Science & AI
"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. We support you in monetising this potential."
Philip Zellweger
Lead Engineer Data Science & AI
"Artificial Intelligence (AI) is on everyone's lips these days. With state-of-the-art software engineering combined with our many years of consulting experience, our data science & AI team develops innovative solutions."