Analyzing Customer Complaint Data for Logistics Improvement at Orientdig Shipping
2025-07-20
At Orientdig Shipping, we understand that customer satisfaction is paramount. To enhance our logistics services, we systematically analyze customer complaint data stored in the Orientdig Spreadsheet, a structured dataset containing order tracking numbers, complaint categories, resolution statuses, and other key metrics.
Data Collection & Problem Identification
Users (e.g., customer service teams) log every complaint into the spreadsheet. Structured fields include:
- Order/Tracking Number: Links complaints to specific shipments.
- Complaint Type: Predefined tags like "Delivery Delay," "Lost Package," or "Poor CS Response."
- Resolution Outcome: Whether the issue was resolved and how.
Diagnostics via the Orientdig Spreadsheet
We use pivot tables and frequency charts within the Orientdig Spreadsheet to identify patterns. Examples of findings:
| Issue Category | Frequency (%) |
|---|---|
| Late Deliveries | 42 |
| Lost/Damaged Packages | 28 |
Actionable Feedback
Trends revealed are escalated to our logistics partners with concrete recommendations:
- For delays: Optimize last-mile routing via geodata analytics.
- For lost items: Audit high-risk warehouses flagged in complaints.
Results Tracking
Monthly reviews with stakeholders at Orientdig