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Business cases
Suboptimal Supply Chain and Processes
Planning and operational decisions require greater data precision
Unplanned Downtime and Absence of Early Warning Signals for Risks
Demand forecasts are burdened with excessive variability
Solutions
Data-Driven Process Optimization
Computer vision
Anomaly Detection
Predictions
Large Language Models (LLM)
Tabular Data Analysis
Case studies
Case – Minimizing Failures and Downtimes
Case Study – Sales Forecasting in the Supply Chain
Case – Energy Consumption Optimization
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