Manufacturing data analytics

Google, Smart Manufacturing

Design for Google's hardware devices manufacturing software powered by AI/ML

Company

Google, Via EPAM SYSTEM

Year

Mar 2022 — Present

Team

MSS Team (Manufacturing Software system)

My Role

Bryan: Product Designer & the wonderful design, product, and engineering teams in Services

Overview

A centralized system for gathering and examining data produced in manufacturing plants is offered by a manufacturing data analytics tool. This centralized solution enables the creation of an autonomous, intelligent global operating system by facilitating Smart Manufacturing.

I led the holistic user experience for manufacturing software by applying data-driven analysis and machine learning techniques, incorporating practical use cases.

As the Product Designer for an innovate smart manufacturing software team, my task involved developing UX solutions that present practical insights in a way that users can readily understand and apply through data visualization.

Harness the power of ML and AI to enable users to extract more meaningful insights from manufacturing dataset

Here are the key milestones from the recent research with our latest AI solution:

20%

Increase average page views per user(using Google Analytics 4)

Implementing an AI & ML strategy in the redesign of our dashboard resulted in a 20% increase in user engagement within a month.

25%

Optimize task completion efficiency

Utilizing AI-generated insights, our core users(Google internal test engineers) can easily identify anomalies and dedicate more efforts to root cause analysis, ultimately leading to time and cost savings for our organization.

3-5%

Enhance CSAT by 3-5% YoY

Developed a multi-disciplinary CSAT workshop addressing top user-requested features and boosted CSAT by 3-5% year over year.

View the full case study here.