R&D Management 10 min read

How Dewu’s SQC Model Revolutionizes Quality Assurance in E‑Commerce

This article examines Dewu Technology’s SQC (Supplier‑Quality‑Customer) quality management model, detailing its AI‑driven inspection and authentication, the comprehensive quality assurance system built on mechanisms, processes, methods and tools, the “Quality Month” initiative, the iteration quality score model, automation testing and traffic‑replay platforms, and the measurable improvements in software quality and production reliability.

DeWu Technology
DeWu Technology
DeWu Technology
How Dewu’s SQC Model Revolutionizes Quality Assurance in E‑Commerce

What Is the SQC Quality Management Model?

The SQC model consists of three pillars: S for Supplier, ensuring a rich product supply; Q for Quality, providing thorough quality checks and authenticity verification; and C for Customer, delivering genuine, high‑quality goods to consumers.

SQC model diagram
SQC model diagram

Order Flow and Quality Checks

When a consumer places an order on Dewu, the seller ships the item to Dewu first. Dewu’s verification team then performs authenticity checks and grades the item for defects before the product is finally shipped to the consumer, with the entire workflow supported by Dewu’s technical platform.

AI‑Driven Inspection and Authentication

Dewu has developed AI‑based inspection that combines on‑device recognition and OCR to match colors, model numbers, sizes, years, and other attributes against system data, reducing manual effort and increasing efficiency. For authenticity, a multimodal AI system analyses product images, metadata, and seller behavior, flagging suspicious items for expert review.

Dewu’s Quality Assurance System

The system is organized around four interrelated components: Mechanism, Process, Method, and Tool.

Mechanism

The core is the iterative quality review mechanism that governs version releases.

Process

Business‑domain iteration quality review meetings define the operational workflow.

Method

Includes a quality‑metrics dashboard and the “iteration quality score” model that quantifies risk at each development stage.

Tool

Encompasses an automation testing platform, CI/CD pipeline, release platform, code‑coverage system, precise testing suite, and other supporting utilities.

Quality Month Initiative

The “Quality Month” program applies three phases: pre‑stage cross‑domain case review, mid‑stage iteration quality review to assess process risk, and post‑stage online event retrospection to validate outcomes and guide the next iteration.

Iteration Quality Score Model

The model evaluates four stages with specific metrics:

Admission stage : on‑time test rate, smoke‑pass rate, smoke‑defect rate.

Test execution stage : daily defect clearance rate, defect reopen count.

Release stage : defect injection rates for requirements, development, and effort.

Production operation stage : P0/P1 and P3/P4 production faults, smoke points, online incident counts.

Iteration quality score diagram
Iteration quality score diagram

Quality Engineering System

Adopting a layered testing approach, Dewu reduces defect‑fix costs by detecting issues early and uses fine‑grained recommendation testing to improve coverage.

Automation Testing Application

The platform supports HTTP, HTTPS, Dubbo, gRPC, and offers keyword‑driven, data‑driven, business‑driven, and hybrid test designs, with built‑in validators such as assertions, comparators, and regexes, plus extensible plugins for third‑party tools.

Automation testing platform architecture
Automation testing platform architecture

Traffic Replay Application

Dewu’s “Pandora” traffic recording and replay platform, built on an open‑source base, adds sub‑call and entry‑call capabilities and supports both Java and Go, offering broader applicability than many industry alternatives.

Pandora traffic replay architecture
Pandora traffic replay architecture

Results and Impact

After nearly a hundred iterations, Dewu reports a >60% improvement in development quality, a ~70% reduction in technical debt, and sustained on‑time test and smoke‑pass rates above 99%. Production‑fault trends have declined sharply, confirming the effectiveness of the SQC‑driven quality system.

Conclusion

Quality remains a core value for Dewu Technology; the SQC model and its supporting engineering practices continuously drive high‑quality user experiences and set a benchmark for e‑commerce quality assurance.

e-commercesoftware engineeringMetricsquality assuranceautomation testingAI inspectionSQC Model
DeWu Technology
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