Cuanky
Stopping Revenue Leaks with Predictive Inventory
Role
Product Designer
Scope
Strategy, UI Architecture, Interaction Design
Duration
4 Weeks
The Challenge
The Inventory Blindspot
Cuanky tracks inventory for fashion brands, but the platform had a major flaw. It showed volume but ignored velocity. It told merchants they had "50 shirts" left, but it didn't tell them if that was enough for a month or just a day. This lack of context meant store owners were flying blind, leading to sudden stockouts and lost revenue. We needed to transform the dashboard from a passive list into a proactive Early Warning System that flags risks before money is lost.
Strategy
Management by Exception
We realized busy store owners don't have time to read reports. They only need to know what is broken. I shifted the design strategy to Management by Exception. Instead of showing a generic overview, we built a Critical Stock Alert widget. It acts like a radar, bypassing the menu to show the top 3 at-risk items the moment the user logs in. If everything is green, they see nothing. If revenue is at risk, they see it instantly.
Execution
From Raw Data to Runway
The biggest friction point was the data tables. The old column showed Last Restocked Date which is useless history. We replaced history with prediction by engineering a Runway metric. This simple logic divides current stock by daily sales to show exactly how many days are left. We used a traffic light system where 30 Days is invisible, but 2 Days triggers a bright Red Badge. Now, a user can scan 100 items and spot the problems in seconds without doing any math.
Interaction
Killing the Calculator
