Home > Analyzing Customer Complaint Data to Improve Orientdig Shipping Services

Analyzing Customer Complaint Data to Improve Orientdig Shipping Services

2025-06-02
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To continually enhance the quality of logistics services, Orientdig Shipping can leverage client complaint data analysis to efficiently identify systemic issues affecting delivery performance. A streamlined method involves collecting, organizing, and visualizing complaints in an Orientdig spreadsheet

Data Collection Process

Customers submit complaints through support channels, including details such as:

  • Tracking Number: Identifies the problematic shipment.
  • Complaint Type
  • Resolution Outcome: Notes on compensation or corrective actions taken.

Key Analysis Metrics

Using spreadsheet tools (e.g., filters, pivot tables), Orientdig can:

  1. Categorize Complaints: Group issues by frequency and severity.
  2. Spot Trends: Identify recurring problems (e.g., delays in specific regions).
  3. Associate Causes: Link delays to weather, holidays, or carrier inefficiencies.

Actionable Insights for Improvement

Issue Identified Possible Solution
Late deliveries in urban zones Optimize last-mile routing or partner with local couriers.
High package damage rate Revise packaging standards or conduct handler training.
Slow response from customer service Expand support team or implement AI-driven ticketing.

Implementation & Feedback Loop

The analysis is shared with Orientdig's logistics team via the platform portal

By systematically tracking and resolving pain points—such as those revealed in this data—Orientdig can strengthen trust and satisfaction among its shipping clients.

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