forked from cartsnitch/cartsnitch
Coupon Carl
40 lines
1.6 KiB
SQL
40 lines
1.6 KiB
SQL
-- =============================================================================
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-- Stat 1: Products that shrank in the past 12 months
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-- Validates: "847 products that shrank in the past 12 months" (launch announcement)
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--
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-- Run against production Postgres once infrastructure is available.
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-- Results will drift as the 12-month window slides forward from execution date.
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-- =============================================================================
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-- Primary count: distinct products with ≥1 shrinkflation event in the past year
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SELECT
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COUNT(DISTINCT se.normalized_product_id) AS shrinkflation_product_count
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FROM shrinkflation_events se
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WHERE se.detected_date >= CURRENT_DATE - INTERVAL '12 months';
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-- Breakdown by product category (for deeper reporting)
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SELECT
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COALESCE(np.category, 'unknown') AS category,
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COUNT(DISTINCT se.normalized_product_id) AS products_with_shrinkflation
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FROM shrinkflation_events se
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JOIN normalized_products np ON np.id = se.normalized_product_id
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WHERE se.detected_date >= CURRENT_DATE - INTERVAL '12 months'
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GROUP BY np.category
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ORDER BY products_with_shrinkflation DESC;
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-- Breakdown by confidence band (high/medium/low events)
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-- Confidence >= 0.80 = "clear" shrinkflation signal
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SELECT
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CASE
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WHEN se.confidence >= 0.80 THEN 'high (>=0.80)'
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WHEN se.confidence >= 0.50 THEN 'medium (0.50-0.79)'
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ELSE 'low (<0.50)'
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END AS confidence_band,
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COUNT(DISTINCT se.normalized_product_id) AS products
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FROM shrinkflation_events se
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WHERE se.detected_date >= CURRENT_DATE - INTERVAL '12 months'
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GROUP BY confidence_band
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ORDER BY MIN(se.confidence) DESC;
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