Challenge
Trade-platform users can lose time through avoidable submission errors and repeated clarification cycles.
Business Integration
PortNet Live Trade Copilot
A business-analytics-led copilot concept supporting users while preparing and submitting foreign-trade files.
Why it matters
Targets fewer avoidable errors, more first-time-right submissions, and less back-and-forth during trade-file preparation.
My role
Business analytics contributor and prototype co-designer
- 01Helped frame the operational problem through measurable KPIs and impact targets.
- 02Applied dashboard and decision-support thinking to the proposed workflow.
- 03Translated analysis into a concrete prototype and implementation path with the team.
My contribution
I contributed business framing, KPI design, analytical thinking, impact estimation, and the translation of insights into a prototype.
Recognition
The project earned third place at the 2025 Smart Trade Challenge organized by PortNet and Rabat Business School.
Technical implementation
How the solution was built.
Each layer connects an implementation choice to the decision or workflow it supports.
05 layers| Layer | Implementation | Operational purpose |
|---|---|---|
| Problem framing | Trade-file journey mapping and friction-point identification | Locate where users lose time or submit avoidable errors |
| KPI design | First-time-right rate, correction cycles, processing time and support demand | Define measurable outcomes before proposing the solution |
| Decision support | Contextual in-platform guidance concept | Help users correct issues while preparing a submission |
| Prototype | Lightweight interaction flow demonstrating guidance within the PortNet journey | Make the proposed experience concrete enough to evaluate |
| Implementation path | Impact estimation, workflow integration considerations and phased delivery | Connect the challenge prototype to a realistic next step |