2.5 KiB
2.5 KiB
created, updated
| created | updated |
|---|---|
| 2025-07-04 17:44 | 2025-07-04 17:44 |
1. Highlights & Wins
-
Project / Area: QLS Handling — Deployed touchscreen time-tracking for warehouse staff
- Impact & Metrics:
- Staff onboarded: ~20 employees
- Time saved: ~12–15 hrs/week (manual logging + digitization)
- Error reduction: ~85% fewer missing or incorrect entries
- Impact & Metrics:
-
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
- Impact & Metrics:
-
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)
- Impact & Metrics:
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 flow’s requirements and billing model variations.
- Warehouse Team Sync: Gathered additional change requests and clarified workflows needed for QLS Handling updates.
5. Next Week’s 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