Project Summary

UX Improvements for Web Tool
Building an AI-solution can help retailers ensure shelf compliance and prevent stockouts
01 Maximizing Sales & Revenue
Proper shelf placement ensures high-demand products are easily accessible, leading to increased sales and reduced lost revenue due to stockouts.
02 Reducing Stockouts & Overstock
AI-powered shelf solutions detect inventory gaps in real time, enabling faster replenishment and reducing losses from empty shelves or excess stock.
03 Enhancing Customer Experience
Well organized shelves improve shopping efficiency, making it easier for customers to find products, leading to higher satisfaction and repeat business.

Underdeveloped UX interface hindered a key opportunity to showcase 90% Shelf Insight accuracy using AI-object recognition
Connecting UX with Business Goal
The business goal was to demo to prospective customers AI-powered shelf intelligence, and the tool needed a UX revamp
I interviewed 2 internal Scandit developers and 1 PM to understand the purpose, opportunity, and challenges of shelf tooling to display shelf insights, data, and business goals.

Interview & User Insights
Reporting and Debugging
Testing machine learning insights and processing correct shelf insights.
Synching product libraries from retailers
Data loading and correct displays of products for the large catalogues.
Kickstarting pilots and prepare for retail customers
Validating business market and demonstrate invested value.

After clarifying future intention and purposes of the tool I prioritized UX goals,
05 Design 2
After two sprints, I presented to the directors of ShelfView to align on the strategy and feasibility of the tech implementation. To build this product, we adopted a phased approach.
During the design phase, some data points were unavailable, such as product images and machine learning alerts for misplaced items.
As a result, we extended the timeline from six months to eight months, with the deadline set for the NRF tradeshow.
We also identified the need for additional headcount, specifically a developer, to assist with integrating and enhancing the upload speed of shelf images to the cloud platform.
06 Results
After conducting thorough research, audits, and design sprints, our team successfully launched a demo and internal debugging tool. This tool allows the entire team to leverage it for production and a variety of use cases.