GenAI is applied in my role to support analytical, decision-making, and planning tasks, rather than basic operational work. Specifically, I use GenAI in reporting and analysis, publisher issue handling, and proposal preparation, which helps optimize working time while improving output quality and consistency.
Objective 1: Optimize Reporting and Performance Analysis
Application of GenAI
GenAI is used to:
- Structure weekly and monthly reports into clear, management-ready formats
- Summarize performance trends and key insights from raw data
- Improve clarity and professionalism of analytical commentary in English
Measurement
- Time spent per report
- Quality and clarity of insights delivered to stakeholders
Outcome (Before vs After)
| Metric | Before GenAI | After GenAI |
|---|---|---|
| Time per report | ~1.5 hours | ~1 hour |
| Reports per month | ~4 | ~4 |
| Monthly time saved | ~2 hours |
Example:
When preparing monthly affiliate performance reports, GenAI helps transform raw metrics into concise insights, enabling faster management review and more data-driven decisions.
Objective 2: Improve Efficiency and Consistency in Publisher Issue Resolution
GenAI supports:
- Structuring clear explanations for rejected conversions and payout delays
- Simplifying complex campaign and SEM policy terms
- Ensuring consistent, neutral, and professional communication
- Reducing repetitive clarification and follow-up discussions
Measurement
- Average resolution time per case
- Number of follow-up questions from publishers
Outcome (Before vs After)
| Metric | Before GenAI | After GenAI |
|---|---|---|
| Time per case | 10–15 mins | 5–7 mins |
| Avg. cases per month | 20–25 | 20–25 |
| Monthly time saved | ~4–4.5 hours |
Example:
For rejected conversion inquiries, GenAI helps generate structured responses that clearly explain the reason, relevant policy, and next steps, significantly reducing repeated questions and resolution time.
Objective 3: Enhance Proposal and Planning Effectiveness
Application of GenAI
GenAI is applied to:
- Create structured outlines for campaign, bonus, and business trip proposals
- Clarify objectives, scope, and expected outcomes
- Improve logical flow and alignment with internal guidelines
Measurement
- Time spent on proposal preparation
- Completeness and clarity of planning documents
Outcome (Before vs After)
| Metric | Before GenAI | After GenAI |
|---|---|---|
| Time per proposal | ~3 hours | ~2 hours |
| Frequency | 1–2 / month | 1–2 / month |
| Monthly time saved | ~3 hours |
Example:
When preparing publisher incentive plans, GenAI supports structuring objectives and outcomes, allowing greater focus on strategic alignment rather than formatting or wording.
Consolidated Productivity Impact
| Objective | Measurement | Unit | Result |
|---|---|---|---|
| Reporting optimization | Time saved | Hours/month | ~2 |
| Issue resolution efficiency | Time saved | Hours/month | ~4–4.5 |
| Proposal & planning | Time saved | Hours/month | ~3 |
| Total impact | Hours/month | ~9–9.5 |
Conclusion
By integrating GenAI into reporting, publisher issue resolution, and planning workflows, I achieve approximately 9–9.5 hours of productivity gains per month. Beyond time savings, GenAI enhances analytical depth, communication consistency, and planning quality, enabling a stronger focus on strategic initiatives and long-term business impact. This application demonstrates effective and sustainable use of GenAI to drive both individual performance and organizational value.