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case Studies
Cafe Cerebral
 
 
DEMAND FORECASTING

  • Client needs to accurately predict customer demand
    • Under-forecasting raises customer dissatisfaction and every chance of losing market share to competition
    • Over-forecasting creates pile of inventory and obsolescence
 
  • Identify data sources
  • Clean data
  • Understand the data pattern and industry trend
  • Build advanced model that are robust
  • Use secondary data to increase the predictive power of the models
  • Incorporate market research data for fine tuning
  • Employ robust tracking and create a feedback loop to continuously improve models
 
  • The client greatly reduced their errors in demand forecasting
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