Machine Learning Tool
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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Posted Jan 7, 2025
Led discovery process for a Machine Learning tool in consumer goods, defining business goals, running workshops, and creating a new tool structure.
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