Cutting click to delivery in half
Two targets from a brand. We hit the average and missed the tail, and the reason for the miss was a price the brand chose not to pay.
7 to 8+ daysunder 4 days
click to delivery, as published
Case studies
The work behind the numbers
Each one names the target, the constraint that could not move, what changed, and how it was measured. Where the outcome was published somewhere else, by an employer or by me, it is cited and linked.
Three apps, and the arithmetic behind 4,000 hours
Three production tools built with Claude Code as a non-engineer, and the bottom-up count behind the hours they take out, including what I left out of it.
4,000+
hours eliminated, annualized
Routing on averages, fixed with percentiles
A retailer's delivery window came with fees attached, and the routing logic was planning to an average. Percentiles fixed the math. One question moved the constraint the math was working inside.
about 50%over 90%
on-time delivery