We optimise processes using innovative digital strategies and AI solutions
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Our Services
Process Improvement
Digitalization
Artificial Intelligence
Process analysis and -evaluation
Identification of weak points and bottlenecks.
Digitalization strategy
Development of a comprehensive digital strategy.
AI strategy development
Development of a comprehensive AI strategy.
Process optimization
More efficient processes for greater productivity.
Data analysis and management
Optimization of data usage and management.
AI-Integration
Integration of AI into existing systems.
Lean Management
Minimizing waste and maximizing benefits.
Process automation
Automation of business processes.
Predictive Analytics
Using AI to predict trends and events.
Change Management
Successful implementation of change processes.
Digitale Transformation
Comprehensive switch to digital processes.
Machine Learning Model
Development and implementation of ML models.
Training and Courses
Employee training for new/optimized processes.
Technology consulting
Selection and implementation of new technologies.
AI-Readiness Check
Analysis and recommendations for AI implementation.
Procise supports a pharmaceutical company in shortening delivery times and significantly reducing operating costs by optimizing logistics and delivery processes. The introduction of a transport management system (TMS), a modern warehouse management system (WMS) and the digitalization of order processing increased efficiency and reduced errors. These measures led to faster delivery times, lower operating costs and greater customer satisfaction.
Case StudyProcise helps a logistics company to increase speed-to-market by 80 percent by digitizing its processes. By introducing a transport management system (TMS), a warehouse management system (WMS) and automating order processing, delivery times were significantly reduced and efficiency increased. These measures led to reduced operating costs, higher customer satisfaction and improved working conditions for employees.
Case StudyProcise is helping a medium-sized production company to increase productivity by 18% by digitalizing its processes. The implementation of an ERP system, the use of IoT technologies, a manufacturing execution system (MES) and extensive employee training have optimized inefficient, manual processes and reduced error rates. The measures led to improved response times, greater employee satisfaction and more efficient business processes overall.
Case Study