Huawei Merchant & E-commerce Platform
Scaling global seller onboarding through platform-led design
Context & Problem
Huawei was scaling its global e-commerce and merchant ecosystem, onboarding sellers across multiple regions, languages, and levels of digital maturity.
Existing onboarding and catalog processes were fragmented and manual, leading to inconsistent data quality, slower seller activation, and high operational overhead.
At global scale, these inefficiencies directly limited marketplace growth and trust.
My Role & Ownership
I owned the product strategy and execution for the merchant onboarding and catalog platform, working closely with engineering, operations, and business teams across geographies.
Constraints & Trade-offs
- Global sellers with inconsistent data standards
- Multiple product categories and regional nuances
- Automation vs data accuracy
- Need to scale without overwhelming internal operations
Key Decisions
- Designed structured onboarding workflows to standardize seller inputs
- Introduced ML and computer vision–assisted enrichment for catalog quality
- Defined accuracy and completeness KPIs as first-class metrics
- Embedded training and enablement into the platform itself
Impact & Outcomes
- Improved consistency and quality of catalog data globally
- Reduced manual intervention in seller onboarding
- Faster seller activation across regions
- Established a scalable foundation for marketplace growth
What I Learned
Marketplace platforms succeed when seller experience, data quality, and internal operations are treated as one system.
What I’d Do Differently Today
I would add real-time feedback loops for sellers earlier to reduce onboarding errors and iteration cycles.