Postal Service Quality Measurement

Postal Service Quality Measurement

Overview

The Postal Service Quality Measurement System is designed to collect and process postal shipment data from various platforms such as the Postal Delivery, PNS, TMS, and more. The system automatically aggregates information and evaluates the quality of postal shipments across multiple stages, including collection, acceptance, transportation, processing, delivery, end-to-end tracking, and services for large clients. At each stage, the system generates detailed reports on the shipment’s progress through sub-phases, enabling comprehensive tracking of each parcel’s status.

Reports are created based on quality indicators and categorized by geographical levels such as post offices, districts, provinces, and corporate headquarters. The system supports service quality monitoring over specific timeframes, allowing the postal service to effectively supervise operations and enhance service quality. With these consolidated reports, management can conduct in-depth analysis and make timely decisions to optimize operational workflows and improve customer satisfaction. The system also facilitates monitoring and evaluating postal services for large clients, ensuring that service quality meets the committed SLAs (Service Level Agreements).

Functional Modules:

Build reports for each delivery stage:
  • Collection: Generate reports on the percentage of shipments meeting the time requirements for order creation and collection, order creation and acceptance, and collection efficiency for fixed-location shops.
  • Acceptance: Measure the percentage of shipments accepted within the designated timeframe, ensuring compliance with acceptance standards.
  • Processing: Evaluate the percentage of shipments meeting the processing time at regional processing centers, inbound/outbound pouch exchange times, and processing accuracy.
  • Transportation: Report on the on-time performance of primary (Level 1) and secondary (Level 2) transportation stages for outbound and inbound shipments.
  • Delivery: Analyze end-to-end delivery stages, including inter-provincial transportation and postal delivery performance. Report delivery efficiency by postman and delivery route.
  • End-to-End: Measure the percentage of shipments achieving the full end-to-end delivery timeframe, from collection to final delivery.
  • Consolidated Reports: Track overall success rates, return rates, and KPIs for e-commerce order processing and return handling to ensure compliance with service benchmarks.

Resources and Timeline

The project demands a team of Business Analysts with robust expertise in process mapping and precise consulting capabilities to handle complex multi-source data integrations. In parallel, the Data Engineering team must possess deep proficiency in architecting and managing large-scale data pipelines to ensure data consistency and integrity, accommodating intricate integration workflows and manual data manipulation as specified by the client.

Team size

08

Duration

06 months

Requirement Stability

80 %

Customer Satisfaction

95 %

Achievements

Increased monitoring accuracy
99
%
Reduced report generation time decreased from
3
days to 4 hours
Reduced incident handling time
80
%
Improved end-to-end tracking efficiency from
75
% to 90%
Increased successful delivery rate from
85
% to 95%
Reduced return rate from
8
% to 4%