Machine Learning Tool by Miranda Logioia

Machine Learning Tool

Miranda Logioia

User Researcher

UX Researcher

UX Designer

Figma

Client: Consumer Goods & Services Project Goal: Develop a Machine Learning Tool to improve product matching and reduce manual effort.

Overview

I led the Discovery process and collaborated closely with Supply Chain Managers to identify pain points and areas for optimization. This project aimed to design a Machine Learning Tool capable of improving the product-matching process by reducing manual effort and enhancing system performance through an AI-optimized model.

🪄 Key Contributions

Discovery Process: Led interviews and workshops with Supply Chain Managers to gather insights.

UX/UI Design: Created wireframes and prototypes to visualize the optimized product-matching process.

Collaboration: Worked with data scientists to ensure the AI model aligned with user needs.

💎 Tool Features

AI-driven product matching for improved accuracy.

Reduced manual input by automating data comparisons.

User-friendly interface tailored for Supply Chain Managers.

💡 Outcome

The AI Tool streamlined the product matching process, reduced manual work, and improved accuracy, significantly enhancing productivity for the Supply Chain team.

Discovery Documentation

I initiated a kick-off workshop with all stakeholders, focusing on aligning business goals, design assumptions, and user needs. To streamline the process, I developed a kanban board to categorize current pain points, business objectives, value propositions and success metrics.

User flow redesign: Created a detailed flowchart showcasing the improved structure of the tool, ensuring a clear and efficient user journey.

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