stemly
Project type
- Product Design, Product Management
Company stage
Early Stage
Industry
Supply Chain
Platform
Web
Location
Singapore
Intro
Improving an ML-powered Forecasting Process for Supply Chain Industry
Case study
Design the enterprise platform from the ground up as a modular system harnessing the power of Machine Learning and other advanced technologies to eliminate silos and ensure a seamless user experience.
Problem
Enterprise-level supply chain platforms are significantly outdated, lacking the modern features and flexibility required to meet today’s rapidly changing business environments and technological advancements, frequently present complexities that can stifle innovation.
The Goal
The aim is to develop an advanced enterprise-grade SaaS platform for forecasting and optimization, aiming to establish new benchmarks in user-friendliness and speed, while also achieving unparalleled accuracy in prediction.
Challenges
Each team member had a different concept of how the platform should be organized, and there was frequent confusion over terminology. To address this misalignment promptly from a design standpoint, the design team created a term dictionary to establish clear definitions for industry-specific terminology, which is crucial in data science platforms.
Method
Rapid prototyping was instrumental in facilitating prompt modifications, both within my teams and in client interactions. My overarching goal has been to streamline the user experience for traditionally complex workflows, making them as seamless as possible.
Result
The design intricacies of charts, particularly in data analysis, demand meticulous attention, emphasizing the critical role of effective information visualization. I invested substantially in mastering techniques for tabular and chart visualizations to ensure they meet rigorous standards.