What this proves
The Olist case turns ecommerce fulfillment data into SLA risk triage: late delivery rates, delay severity, review-score association, and seller/category/region investigation candidates.
- 96,470 delivered orders analyzed in public aggregate outputs.
- 6.77% late-delivery rate surfaced as operational risk signal.
- Seller/category/customer-region combinations prioritized for investigation.
- Inventory risk is framed as proxy analysis because Olist lacks stock-on-hand, replenishment, warehouse availability, purchase orders, or backorder fields.