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created: 2025-07-04 17:44
updated: 2025-07-04 17:44
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## 1. Highlights & Wins
- **Project / Area**: QLS Handling — Deployed touchscreen time-tracking for warehouse staff
- **Impact & Metrics**:
- Staff onboarded: ~20 employees
- Time saved: ~1215 hrs/week (manual logging + digitization)
- Error reduction: ~85% fewer missing or incorrect entries
- **Project / Area**: QLS Handling — Kicked off API integration with third-party customs data provider
- **Impact & Metrics**:
- Shipments covered: ~50/day (~250/week)
- Time saved: ~20 hrs/week of manual data entry
- Error reduction: ~90% fewer data-entry mistakes
- **Project / Area**: QLS Handling — Led on-site brainstorming session with the warehouse team
- **Impact & Metrics**:
- Top action items: refine receiving workflow; update inventory labeling; establish daily stand-up
- Quick win: new labeling process (~2 hrs/week saved)
## 2. Challenges & Blockers
- **High urgency / Priority shift**: Compressed timeline forced pausing all other projects so I could devote 100% focus to QLS Handling.
- **Invoicing-flow complexity**: Need to support 4 major cost types (each with ≥ 2 billing variations) plus an upstream “incident” billing path for transport failures—making schema design and testing particularly intricate.
- **Spec dependencies**: Awaiting detailed incident definitions from logistics partners to finalize the upstream incident billing logic.
## 3. Learnings & Growth
- Prepared for AWS Aurora migration: configured the initial Aurora cluster and deepened understanding of its scaling, high-availability, and compatibility features.
- (No time this week for a formal skills deep-dive due to urgent QLS Handling priorities.)
## 4. Collaboration & Mentorship
- **Finance Stakeholder Meeting**: Discussed and aligned on the new invoicing flows requirements and billing model variations.
- **Warehouse Team Sync**: Gathered additional change requests and clarified workflows needed for QLS Handling updates.
## 5. Next Weeks Goals
- [ ] Migrate production database to AWS Aurora and validate performance benchmarks
- [ ] Roll out new warehouse software (built over the last half year) to the warehouse team: onboarding & training sessions
- [ ] Provide quick bug fixes and support for the new warehouse software as issues arise
- [ ] Finalize incident-billing logic once upstream specs arrive
- [ ] Conduct QLS integration smoke tests post-launch and triage any issues