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The Unified S&OP Workflow

AnoFox is designed as a unified platform where three specialized extensions work in concert to solve the Sales & Operations Planning (S&OP) challenge.

The Pipeline​

The following diagram illustrates how data flows through the AnoFox ecosystem, from raw ingestion to actionable insights.

The Three Stages​

Stage 1: Audit & Guard (Tabular)​

"Trust Your Data"

Before any forecasting happens, data must be validated. The Tabular extension acts as the gatekeeper.

  • Validate Entities: Ensure every customer email, phone number, and VAT ID is valid.
  • Detect Anomalies: Use Isolation Forest to flag suspicious transactions or data entry errors.
  • Check Quality: Verify row counts, null rates, and distinctness.
-- Example: Filter out invalid orders before forecasting
CREATE TABLE valid_orders AS
SELECT * FROM orders
WHERE anofox_vat_is_valid(vat_id)
  AND anofox_money_is_positive(amount)
  AND NOT anofox_metric_isolation_forest(amount, 0.1);

Stage 2: Forecast (Forecast)​

"Predict the Future"

Once data is clean, the Forecast extension takes over to generate demand plans.

  • Detect Seasonality: Automatically identify weekly, monthly, or yearly patterns.
  • Generate Forecasts: Use AutoARIMA or MFLES to predict future demand.
  • Handle Intermittency: specialized models for slow-moving inventory.
-- Example: Generate a 12-month forecast for each region
SELECT
    region,
    TS_FORECAST(sales_history, horizon=12) as demand_plan
FROM valid_orders
GROUP BY region;

Stage 3: Analyze & Optimize (Statistics)​

"Understand the Drivers"

Finally, the Statistics extension helps you understand why the forecast looks that way and how to optimize it.

  • Regression Analysis: Quantify the impact of price, marketing spend, and promotions.
  • Diagnostics: Check for structural breaks or changing market dynamics.
  • Optimization: Use coefficients to plan marketing budgets or pricing strategies.
-- Example: Analyze price elasticity
SELECT * FROM anofox_statistics_ols(
    'demand',
    ['price', 'competitor_price', 'marketing_spend'],
    'market_data'
);
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