Brand_and_Market_Analysis/config.yaml at main · James-Muguro/Brand_and_Market_Analysis · GitHub

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data:
  date_columns: ['Period']
  time_column: 'period'
  numeric_columns: ['Gross Sales','Net Sales','Volume','Discounts','Cost of Goods Sold','Distribution','Warehousing']
  text_column: 'review_text' # Example, assuming there's a column with customer reviews

analysis:
  brand_performance:
    enabled: true
    value_col: 'net_sales'
  client_performance:
    enabled: true
    value_col: 'net_sales'
  discount_impact:
    enabled: true
  cost_efficiency:
    enabled: true
  segmentation:
    enabled: true
    model: 'kmeans' # 'kmeans' or 'dbscan'
    features: ['net_sales', 'volume', 'discounts']
    n_clusters: 4
    model_params: {}

benchmarking:
  enabled: true
  metric: 'net_sales'
  brand_col: 'brand'

forecast:
  enabled: true
  model: 'ets' # 'ets', 'arima', or 'prophet'
  target_column: 'net_sales'
  periods: 12
  model_params:
    seasonal: 'add'
    trend: 'add'

recommendations:
  enabled: true
  model: 'logistic_regression' # Currently supported: 'logistic_regression'

sentiment:
  enabled: false # Disabled by default, as we don't have review data yet
  text_column: 'review_text'
  engine: 'vader'

scenario:
  enabled: true
  impact_params:
    price_change_pct: 0.1
    marketing_spend_increase: 10000
    price_elasticity: -1.2
    marketing_elasticity: 0.3

currency:
  target: 'USD'
  rates:
    KES: 0.0071
    USD: 1.0