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.
After
AI-assisted defect logging system
I turned a manual, chaotic inspection workflow into an automated, standardized system.
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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.
Solution
The Solution
Content coming soon.
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
Design System
Design System
Content coming soon.
Component Details
Component Details
Content coming soon.
Reflection
Reflection
Content coming soon.
Impact
Business Results
More efficient inspections. More reliable shipment quality. More returning customers.
From Chaos to Clarity: AI-Powered Quality Inspection