Findentory
Inventory Management System
Role
UX/UI Designer
UX Research
Duration
2 weeks
Tools
Figma, Adobe illustrator
Overview
Findentory is a cloud based platform designed to provide distribution companies with real-time inventory updates. Built with a user-friendly, social media inspired interface, it seamlessly connects suppliers and clients. The platform also integrates AI capabilities to enhance efficiency, forecasting, and decision making.
Interview Findings
To better understand the challenges faced by distribution companies, we conducted interviews with my coworkers at my previous food distribution company, including store managers, and inventory clerks. The goal was to capture their daily frustrations and identify opportunities for Findentory to provide real value.
Key insights from interviews
Stock Visibility Issues
“We don’t always know which items are low or out of stock until a client asks for them.”
Reordering Challenges
“It’s hard to know which items need to be reordered before they run out.”
Related Item Suggestions to Enhance Ordering
“Having the system suggest related or complementary items during customer orders could make the process more helpful and efficient.”
Pain Point Analysis
Through user interviews and competitor research, several gaps were identified in existing inventory management systems. These shortcomings highlight opportunities for Findentory to stand out and deliver a better inventory management solution.
Key Objectives
Improve inventory tracking accuracy
Increase data accessibility
AI implementation on product suggestions
Connecting end users and product providers, increasing points of sales, and minimizing wait time.
To improve stock visibility, I implemented a traffic light color system
Implementing Indicators
The traffic light color system significantly enhances stock visibility by providing instant visual cues:
Green for in stock (Healthy)
Yellow for low stock (At Risk)
Red for out of stock (Critical)
This allows users to quickly assess product availability at a glance, reduces uncertainty, and helps staff take proactive action to reorder or manage inventory before stockouts occur.
Drag-and-drop feature to simplify organizing order categories
Drag and drop categorization
To improve the way users organize items in the Inventory Management System, I implemented a drag-and-drop list interaction. Instead of manually editing fields or using dropdowns, users can now simply drag an item and drop it into the desired category.
AI-Powered Item Suggestion
To enhance efficiency in food product management, Findentory integrates an AI suggestion engine that recommends related items during sales and restock orders. For example, when a restaurant orders Pasta, the system automatically suggests complementary items like Olive Oil (95% match) or Tomatoes (78% match).