From Chaos to Clarity: AI-Powered Quality Inspection
Overview
What is Cider?
Cider is a fast-growing global e-commerce company with users in 130+ countries. The product team is based in New York, Paris, London, Dubai, Seoul and more.
Problem
Quality checks were slowing down shipment decisions.
Quality checks are a must before shipping, but inspectors struggle to log defects quickly and accurately.
Solution
From fragmented logs to AI-assisted, structured inspection system
I turned a manual, chaotic inspection workflow into an automated, standardized system.
Impact
Business Results
More efficient inspections. More reliable shipment quality. More returning customers.
Before
Key Workflow Issues
I found that the previous system required inspectors to repeatedly interpret, categorize, and document defects manually.
The flat list of issues created information overload and poor visual hierarchy. Hard to scan quickly.
Many defects were recorded using freeform descriptions, which depended on individual interpretation.
Inspectors had to finish typing every time, and notes couldn't be mapped to a specific issue.
Only a single upload entry for all photos. Inspectors couldn't tell which photo belonged to which defect.
Design Decision 1
Create hierarchy by category
I restructured defect logging into a categorized hierarchy, so inspectors could narrow down options progressively instead of scanning a flat list.
Before
After
Design Decision 2
Shift from human rule to system rule
I replaced inconsistent, experience-based defect logging with clearer standardized inputs, making inspections faster and more consistent across inspectors.
Before
After
3 Severity Levels, Dropdown prototype
Design Decision 3
Guide Accurate Defect Mapping
I introduced assisted input patterns, including 1:1 issue mapping and suggested terms, to guide inspectors transform physical defects into structured, consistent records.
Before
After
Design Decision 4
Enforce One-to-One Defect Mapping
I designed structured upload slots with automatic mapping: one issue, one photo.
Before
After
Component Details
Component Details
Content coming soon.
Reflection
Key Takeaways
A few of my mindset shifts behind the final screens.
Step Into the Room
At first, I wasn't sure if I could contribute beyond PDP work. But after asking around and taking initiative, I realized many opportunities were already there.
Collaborate Without Losing My Voice
People were far more supportive than I expected. I learned to value collaboration while still advocating for the structure and clarity I believed the system needed.
OK First, Then Perfect
I stopped chasing perfect details too early and focused on getting workable ideas into people's hands. Momentum and clarity almost always led to stronger design decisions later on.
Impact — Archived
Business Results
More efficient inspections. More reliable shipment quality. More returning customers.
After
AI-assisted defect logging system
I turned a manual, chaotic inspection workflow into an automated, standardized system.
✅
From Chaos to Clarity: AI-Powered Quality Inspection