About Green Factory AI

The main product of Green Factory AI is an AI-powered software for continuous and real-time optimization. They aim to be an innovative SaaS platform creating efficient and environmentally friendly manufacturing, by optimizing existing manufacturing processes to achieve both sustainability and business profitability.

"In just four remarkable weeks, Tekai developed a robust frontend for our MVP online dashboard, in close collaboration with Green Factory AI's in-house team. The resulting platform met industry speed benchmarks and was optimized for client presentations, thanks to their swift adaptability to evolving data visualization requirements. This project highlighted Tekai’s commitment to quality and their flexibility in fast-paced development environments."

Hung Ta – Co-Founder of Green Factory AI

What did we build with Green Factory AI

We have helped to rapidly create a Minimum Viable Product (MVP) web dashboard from a design created from Green Factory AI. The MVP is important to share the use cases from Green Factory AI’s platform. Due to the demand, the Tekai team has delivered the MVP in 4 weeks.

Project Highlights

Rapid Development:

In 4 weeks, Tekai team has converted a static design to a MVP web dashboard with enough features to showcase and capability to communicate with a backend system with an API defined with Green Factory AI’s own backend team.

This rapid development speed helps Green Factory AI to have a holistic view with their data and algorithms. The MVP has helped to pin-point the need for data optimization, before presenting to potential customers.

Effective Collaboration:

Tekai’s team lead maintained a close communication channel with Green Factory AI throughout the development period, to ensure the adjustment of MVP can be done in just the right time. The development project followed the Agile principle in order to achieve fast-adjustment to the product.

How Tekai Team Delivered Compared to Industry Speed

Tekai team is proud to complete the MVP with features and API integration in a faster duration compared to the average MVP project, while with more effective budget spending.

One important achievement from the Tekai team was a quick response and adjustment to client’s needs without affecting the milestone.

The Challenge

Unclear Requirements:

Due to the nature of a MVP project, there were many requirements which have been revised or adjusted, especially in terms of UX and UI.

Backend data returned from the API is yet to be stable, which highlights the need for data optimization.

Parallel Development:

Backend (API) and FrontEnd are developed in parallel, which led to the need for continuous adjustment of the user interface and business logic.

Key Takeaways

Due to heavy data visualization needs, ECharts has been selected as the solution. This library has helped to showcase the data clearly, and improves the value of the MVP.

MVP projects are meant to be able to adjust frequently, and the Tekai team has anticipated the expectation from Green Factory AI.

Tech Stack

Frontend: React, Typescript, Tailwind CSS, ECharts (as a charting engine for data visualizing)