Supply Chain Analytics
Intelligent analysis and an understanding of client-specific requirements are needed to achieve optimal value creation in increasingly complex supply chains.
Analytics – the answer to data overflow and lack of process visibility
CAMELOT’s supply chain analytics deliver the insights you need – from descriptive to predictive and prescriptive applications. Intelligent technologies like process mining, robotics, and AI help to capture potentials, e.g., from automation, as well as efficiency gains, quality improvement, and cost reduction.
How we help clients
Production analytics
- Identification of key margin drivers
- Scheduling and line allocation optimization
- Capacity and utilization outlook of resources
Replenishment analytics
- Detection of inventory level drivers
- Optimal inventory parametrization for pre-defined service levels
- Stock location optimization
Demand analytics
- Error root cause analysis and definition of improvements
- Pattern-based forecast model parametrization to improve quality and reduce effort
- Advanced forecasting methods using ML techniques such as neural networks
Process mining
- Transparency of real vs. theoretical end-to-end processes as basis for improvement measures
- Process benchmarking and what-if analysis enabled by model-based process analysis
Robotics & AI
- Identification of time, quality and cost-cutting potentials with ML
- Optimizing of non-routine tasks with self-learning bots
- Innovating the human-machine interface with decision-support systems
GreenMind2 analytics
- Carbon Footprint Analyzer to generate insights into CO2 emissions along the value chain
- Identification of CO2 drivers and their total unit cost impact
Featured Insights
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Why CAMELOT
CAMELOT is the ideal partner for your supply chain analytics initiatives – proven by a strong track record of successful projects and enabled by leading supply chain expertise, deep experience in supply chain analytics, and our holistic approach from analytics to results.
