Introduction
An 11-point drop in same-day on-time delivery in São Paulo over two weeks is serious. Same-day ("chega hoje") is one of Mercado Livre's sharpest weapons against Shopee, Temu and Amazon in Brazil, and São Paulo is its densest, most important metro. Buyers who were promised delivery today and got it tomorrow open claims, leave bad reviews and may stop paying for Meli+. Because the fall is fast rather than gradual, I'd expect a specific trigger: an operational change, a capacity shock, a data or promise-logic bug, or an external event. I'll narrow it down systematically before proposing fixes.
I'll clarify the metric, rule out external factors, map the same-day journey, break the metric down, prioritise data, form hypotheses, test them, and close with a decision framework and resolution plan.
Step 1
Clarifying Questions (3 minutes)
Why it matters: A change to the definition or to scan logic could create a fake drop. Expected answer: Delivered by 23:59 on the promised day, based on the driver's delivery scan. Impact on approach: If definition is stable, the drop is real.
Why it matters: A localised drop points to a specific hub or route issue. Expected answer: Worse in some zones, but visible broadly. Impact on approach: I'd split by cross-dock and last-mile service centre.
Why it matters: Demand growth beyond capacity is the classic cause of late delivery. Expected answer: Volume up around 18% after a promo and a later order cut-off introduced three weeks ago. Impact on approach: Capacity and promise logic become top suspects.
Why it matters: Internal changes are the most common trigger for a sudden two-week shift. Expected answer: A new routing algorithm version was rolled out to part of the fleet. Impact on approach: Compare routes on old vs new versions.
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