Drive Innovation with
Our Workshops &
Certifications
At the forefront of technological integration and process optimization, we leverage AI-based failure management and smart problem-solving to revolutionize how businesses operate.
Our comprehensive range of workshops and certifications, from White Belt to Black Belt, are meticulously designed to equip professionals with the expertise necessary for data-driven decision-making.
Explore Our Innovative Solutions: Flight Inform: Streamline operations and enhance efficiency with our real-time data analytics platform. Digital Shopfloor Management: Transform your production processes with our digital tools that promote smarter, faster, and more efficient work environments.
Elevate Your Professional Skills with Lean - Six Sigma Training!
Unlock efficiency and excellence in your organization with our structured Lean - Six Sigma Belt training courses. Each level is designed to equip you with the knowledge and skills needed to eliminate waste, reduce variability, and improve overall efficiency.
Our Belt Training Programs:
- White Belt: Discover the basics of Lean & Six Sigma principles. Ideal for newcomers to the field of process improvement.
- Yellow Belt: Enhance your ability to support ongoing process improvement initiatives. Perfect for team members involved in groundwork operations.
- Green Belt: Take the lead on projects and delve into data analysis. Geared towards those managing projects and seeking significant efficiency gains.
- Black Belt: Drive strategic changes and mentor teams towards success. Designed for leaders responsible for major projects and organizational strategy.
Consulting Services for Operational Excellence
Process Excellence
We optimize processes and reduce costs with Six Sigma-Lean and Quality Management, ensuring efficiency and customer satisfaction.
Data & AI
Leveraging Data Analytics, AI-Based Applications, and Cyber-Physical Systems, we enhance decision-making and streamline operations.
Supply Chain & Customer Experience
With Supply Chain Management and Chatbot Solutions, we boost efficiency and elevate customer experience. Future-proof your business with us!
Driving Your Business Forward
| Category | Why It Matters | Benefit to You |
|---|---|---|
| Six Sigma-Lean | Eliminates waste and improves process efficiency. | Lower costs in shorter time and more efficiency for higher quality products. |
| Quality Management | Ensures compliance, improves reliability. | Better products, happier customers. |
| Supply Chain Management | Optimizes logistics, increases resilience. | Faster, cost-effective management of supply chain. |
| Data Analytics | Turns data into interpretable knowledge | Smarter decisions, lower risks with trustable solution ideas. |
| Cyber-Physical Systems | Automates and digitalizes operations. | More digitalization, less down time, more efficiency. |
| AI-Based Web Applications | Enhances process efficiency with AI. | Smart decisions, more accuracy, zero error approach. |
| Chatbots | Automates customer support with AI-based smart Chatbots. | 24/7 help, faster and trustable responses. |
We optimize efficiency, reduce costs, and enhance customer experience through AI, automation, and data-driven strategies. From quality management to supply chain optimization, our solutions ensure smarter decisions, faster operations, and seamless interactions.
AI-driven Customer Data Analysis
The AI-powered customer data analysis process utilizes artificial intelligence techniques to collect, process, and generate meaningful insights from customer data. This process consists of five key steps:
1. Data Collection
Goal: Gather comprehensive customer data from various channels.
Sources:
* CRM systems
* Website and mobile app interactions
* Social media, customer feedback,
* surveys
Output: Raw Data turns into structured data.
2. Data Preparation
Goal: Clean and structure data for AI algorithms.
Sources:
* Handle missing or duplicate data
* Standardize formats (e.g., date formats)
* Apply feature engineering for better model performance
Output: Clean and structured data is ready for modeling and analysis
3. AI Modeling
Goal: Select AI algorithms and train models.
Machine Learning Models:
* Supervised Learning: Customer segmentation, purchase prediction
* Unsupervised Learning: Behavior clustering analysis
* Deep Learning: Image and text data analysis
Output: Predicts future patterns and customer behaviors.
4. Analysis & Insights
Goal: Extract meaningful insights from model outputs.
Example Analyses:
* Which customers to target for increased sales?
* Which customer groups are likely to churn?
* Which product combinations drive campaign success?
Output: Reports, visualizations, and predictive tables.
5. Decision Making
Goal: Use insights for strategic decision-making.
Example Actions:
* Targeted marketing campaigns
* Training AI-chatbots for enhanced customer support
* Cross-selling strategies to boost revenue
Output: Lower costs, more efficient decisions and increasing customer satisfaction and market image.
Smart PDCA: Digitalizing Continuous Improvement
Smart PDCA is a platform that digitizes the Plan-Do-Check-Act (PDCA) cycle to enhance efficiency, improve quality, and accelerate problem-solving in business processes. By automating manual data tracking and reporting, it enables faster and more effective improvement cycles.
1. PLAN – Define & Strategize
- Identify root causes (5 Whys, 5W1H)
- Set SMART goals & create an action plan
- Assign tasks, set timelines, and allocate resources
- AI-based Problem Solving Tools
Digital Features: Task management, calendar integration, KPI visualization
2. DO – Implement & Monitor
- Execute the plan & launch pilot testing
- Collect real-time feedback & observations
- Initiate controlled execution of the planned actions in a real-world setting.
- Monitor performance indicators and gather on-site observations to adapt swiftly where needed.
Digital Features: Automated pilot tracking, live progress dashboard
3. CHECK – Analyze & Validate
- Measure results vs. expectations
- Identify deviations & validate performance
Digital Features: AI-powered trend analysis, automated reports
4. ACT – Standardize & Improve
- Scale successful solutions across teams
- Document SOPs & refine for continuous improvement
- Digital Process Control
Digital Features: SOP modules, feedback loops for next PDCA cycles
Problem Solving: User Interface
Solutions
Development of a smart failure management system that systematically leverages database-stored failure knowledge and continuously learns through employee interaction to replicate human cognitive problem-solving skills.
1. Tasks of the failure management system:
- Prediction of future failures
- Early detection of failure correlation in the production
- Identification of possible causes of problems
- Proposal of suitable measures
2. Outcomes
- Development of an e-learning platform for the application of quality science and lean management methods using gamification
- Dialogue-based implementation of the problem-solving process (PSP) (chatbots support employees in carrying out the method and interpreting results)
- Prediction of future failures
- Discovery of unknown anomaly correlations
- Detection of failure hotspots
- Derivation of failure causes / corrective measures in real time
- Independent solution of unknown problems
- Implementation of a demonstrator for user-centered provision of decision support in a quality assistance system
- Use of new possibilities for process monitoring and promotion of the use of self-learning algorithms in the production
Education / Workshops
Choose the plan that fits your business.
Quality Management
Q7 (7 Quality Tools)
M7 (7 Management Tools)
VoC - CTQ
Requirements Engineering
Basics of Lean
Basics of Six Sigma
Quality Function Deployment
Process FMEA
Product FMEA
Design Structure Matrix
APQP (Advanced Product Quality Planning) Training
PPAP Training (Production Part Approval Process)
MSA 1
MSA 2
Machine Capability Studies
Multi-Vari Analysis
Quality Control Charts
Basics of Statistic
Normal Distribution
Hypothesis Test
Regression Analysis
Design of Experiments (DoE)
Response Surface Methodology
Failure Tree Analysis
After Sales Management
Lean Management
Lean Manufacturing Awareness Training
5S Training
Visual Factory Training
Problem Solving Techniques Training
Digital Problem Solving Techniques Training
Pull/Push (Push and Pull) Training
KAIZEN Training
A3 Problem Solving Technique Training
8D Report Training
VSM (Value Stream Mapping) Training
Value Stream System 4.0 (Data-based value stream system)
Kanban Training
TPM (Total Productive Maintenance) Training
Simulation-Based Autonomous Maintenance Training
Poka Yoke (Error Prevention) Training
Quality at the Source Training
Quality Costs Training
Shopfloor Management Training
Digital Shopfloor Management Training
KPI (Key Performance Indicator)
SMED Training
Data Science
Programming and coding trainings (Python, R, Minitab)
Introduction to Basics
Data Import from Databases
Data Transformation
Data Visualization
Creating of Web Applications
Creating of Reports
Statistic Education (Six Sigma and Quality Management)