Intelligent Optimization and Automated Decision Support
Prescriptive Analytics
Transform data insights into actionable recommendations with advanced optimization algorithms, simulation techniques, and AI-supported decision systems
- ✓Mathematical optimization for complex decision problems
- ✓AI-supported decision automation and recommendations
- ✓Scenario analysis and what-if simulations
Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
30 Minutes • Non-binding • Immediately available
For optimal preparation of your strategy session:
- Your strategic goals and objectives
- Desired business outcomes and ROI
- Steps already taken
Or contact us directly:
Certifications, Partners and more...
Intelligent Optimization and Automated Decision Support
Our Strengths
- Interdisciplinary team of Operations Research specialists, AI experts, and process consultants
- Extensive experience in implementing complex optimization systems
- Pragmatic approach focused on user acceptance and implementability
- Expertise in leading optimization technologies and platforms
⚠
Expert Tip
The success of Prescriptive Analytics initiatives depends significantly on the right balance between automation and human expertise. Start by automating well-defined, repetitive decision processes while initially supporting more complex scenarios with recommendation systems. Companies that follow this staged approach achieve on average 40% higher acceptance rates and faster ROI realization.
ADVISORI in Numbers
11+
Years of Experience
120+
Employees
520+
Projects
We follow a structured yet agile approach in developing and implementing Prescriptive Analytics solutions. Our methodology ensures that your optimization models are not only mathematically correct but also deliver measurable business value and are successfully integrated into your processes.
Our Approach:
Phase 1: Analysis – Examination of your decision processes and definition of optimization objectives
Phase 2: Modeling – Development of mathematical optimization models and decision algorithms
Phase 3: Validation – Testing and calibration of models using historical data
Phase 4: Implementation – Integration of optimization solutions into your existing systems
Phase 5: Continuous Improvement – Monitoring, evaluation, and further development of models
"Prescriptive Analytics represents the highest form of data analysis by combining predictions with action recommendations. However, the true value lies not in mathematical complexity, but in the ability to integrate optimal decisions into real business processes. The connection of advanced analytics with deep business understanding is the key to sustainable success."
Asan Stefanski
Head of Digital Transformation
Expertise & Experience:
11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI
Our Services
We offer you tailored solutions for your digital transformation
Business Process Optimization
Development of tailored optimization models to increase efficiency, reduce costs, and improve the quality of your business processes and operational workflows.
- Process optimization and bottleneck analysis using scientific methods
- Optimal resource allocation and capacity planning
- Supply chain optimization and inventory management
- Scheduling and route optimization for maximum efficiency
Automated Decision Support
Development of intelligent systems that recommend optimal courses of action to decision-makers or partially and fully automate decision-making processes.
- Development of Decision Support Systems (DSS) with optimal action recommendations
- Automation of decision-making processes through rule-based systems
- AI-based decision-making for complex scenarios
- Transparent presentation of decision logic and rationale
Scenario Analysis and Simulation
Development and implementation of simulation and what-if models that analyze and compare the impact of various decisions and external factors.
- Multi-scenario analyses for strategic planning and risk assessment
- Monte Carlo simulations for solid decision-making
- What-if analyses for various market and business scenarios
- Digital twins for complex systems and processes
Continuous Optimization and Adaptation
Development of self-learning optimization systems that continuously adapt to changing conditions, with performance steadily improved through machine learning.
- Adaptive optimization algorithms with continuous learning
- Integration of feedback loops for model improvement
- Solid optimization for decision-making under uncertainty
- Online learning for continuous model adaptation
Our Competencies in Advanced Analytics
Choose the area that fits your requirements
Big Data Solutions
Leverage large data volumes strategically: We design and implement big data platforms that unify structured and unstructured data — from data lakes and real-time pipelines to AI integration. Our big data solutions help you tackle the challenges of exponentially growing data volumes and unlock their hidden potential.
Machine Learning
Transform your data into intelligent systems that continuously learn and improve. With our machine learning solutions, you develop adaptive algorithms that recognize patterns in your data, make predictions and automate complex decisions. ADVISORI supports you in the design, development and implementation of custom ML applications that deliver measurable business value.
Predictive Analytics
Transform your historical data into precise predictions about future developments and trends. With our Predictive Analytics solutions, you unlock hidden patterns in your data and make proactive decisions with highest accuracy. We support you in developing and implementing customized forecasting models that optimally reflect your specific business requirements.
Real-time Analytics
Transform continuous data streams into immediate insights and actions. With our real-time analytics solutions, you analyze data at the moment of its creation, detect critical events immediately, and respond proactively to changing conditions. We support you in implementing powerful real-time analysis systems that transform your responsiveness and provide decisive competitive advantages.
Frequently Asked Questions about Prescriptive Analytics
What is prescriptive analytics and how does it differ from predictive analytics?
Prescriptive analytics is the most advanced stage of data analysis. While descriptive analytics summarizes past data and predictive analytics forecasts future events, prescriptive analytics goes further by recommending specific actions and answering the question "What should we do?". It combines mathematical optimization, simulation and machine learning to identify the best decision given all constraints and business objectives.
What prerequisites does a company need for prescriptive analytics?
Successful prescriptive analytics requires three foundations: first, a sufficient data base with high quality and integrated data sources; second, analytical maturity with functioning predictive models as a baseline; and third, clearly defined business goals and optimization criteria. On the technical side, adequate computing resources and the ability to integrate into operational systems are essential.
Which business areas benefit most from prescriptive analytics?
The most common applications include supply chain optimization (15–30% inventory reduction), route planning in logistics (8–15% cost savings), dynamic pricing in retail (2–7% margin increase), portfolio optimization in financial services, and workforce planning. Adoption is also growing in healthcare and energy.
What methods and algorithms does prescriptive analytics use?
Prescriptive analytics relies on mathematical optimization (linear and integer programming), simulation techniques (Monte Carlo, discrete-event simulation), reinforcement learning and heuristic methods such as genetic algorithms. The choice of method depends on problem complexity, data volume and required response times.
How do you measure the ROI of prescriptive analytics?
ROI is measured through before-and-after comparisons of key metrics such as inventory levels, transport costs, utilization rates or conversion rates. A/B testing between the optimized and the traditional process provides reliable evidence. Typical improvements include 10–25% revenue uplift in marketing and 15–30% reduction in supply chain costs.
How is prescriptive analytics integrated into existing business processes?
Integration follows a phased approach: first in shadow mode running alongside the existing process, then as decision support with human validation, and finally as semi-automated or fully automated decisions. Technically, the connection is made via APIs, embedded analytics in business applications or event-driven architectures.
How long does a prescriptive analytics project take and what does it cost?
A proof of concept typically takes 4–8 weeks, while a production-ready solution requires 3–6 months. Costs depend on data quality, problem complexity and integration effort. Starting with a focused use case and a clear business objective minimizes risk and delivers measurable value quickly.
Success Stories
Discover how we support companies in their digital transformation
Digitalization in Steel Trading
Klöckner & Co
Digital Transformation in Steel Trading
Case Study
Results
Over 2 billion euros in annual revenue through digital channels
Goal to achieve 60% of revenue online by 2022
Improved customer satisfaction through automated processes
AI-Powered Manufacturing Optimization
Siemens
Smart Manufacturing Solutions for Maximum Value Creation
Case Study
Results
Significant increase in production performance
Reduction of downtime and production costs
Improved sustainability through more efficient resource utilization
AI Automation in Production
Festo
Intelligent Networking for Future-Proof Production Systems
Case Study
Results
Improved production speed and flexibility
Reduced manufacturing costs through more efficient resource utilization
Increased customer satisfaction through personalized products
Generative AI in Manufacturing
Bosch
AI Process Optimization for Improved Production Efficiency
Case Study
Results
Reduction of AI application implementation time to just a few weeks
Improvement in product quality through early defect detection
Increased manufacturing efficiency through reduced downtime
Let's
Work Together!
Is your organization ready for the next step into the digital future? Contact us for a personal consultation.
Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
Ready for the next step?
Schedule a strategic consultation with our experts now
30 Minutes • Non-binding • Immediately available
For optimal preparation of your strategy session:
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Desired business outcomes and ROI expectations
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