Lazada · 2021 – 2023
A logistics data product used in six countries
Summary: At Lazada, Southeast Asia's leading e-commerce platform, I managed the internal data product that logistics operations teams used to run their day. Over two years it raised operational productivity by 20% and NPS by 20%.
Results
| Result | How |
|---|---|
| 2,000+ monthly active users in 6 countries | Became the daily tool for operations teams |
| +20% operational productivity | Worked with business teams to track and improve performance KPIs |
| ML volume forecasting launched | Partnered with data science so teams could staff ahead of demand |
| +20% NPS | Redesigned the product UI and UX with design |
What I did
- Worked with operations leaders in each country to agree on which KPIs mattered, and made them visible and actionable.
- Took an ML forecast from a data science model to something planners trusted and used for staffing decisions.
- Ran the redesign around how operators actually worked, not around what the data happened to contain.
Why it matters for AI products
Shipping the ML forecast taught me what AI products still depend on: users trust a model's output only when they understand it, and adoption needs as much work as accuracy.