A Platform That Uses AI to Automate Customer Data Analysis and Experience Optimization
KiZUKAI is an AI platform that automates everything from data management to customer behavior analysis and insight extraction. Beyond simple data visualization, it automatically performs root-cause analysis and suggests improvements, helping companies make faster decisions and improve the customer experience.
01 / Overview
Project Overview
KiZUKAI is a SaaS platform that uses AI technology to elevate how companies use their data. It automatically collects, consolidates, and analyzes customer data from multiple sources, visualizing user behavior, needs, and trends.
Unlike a conventional BI tool, KiZUKAI uses AI to automatically identify what's driving changes in the data and how different factors correlate, going as far as suggesting concrete improvement actions. This means anyone can understand key insights and act on them, even without specialized analytics skills.
It also optimizes marketing and customer success through customer segmentation, churn prediction, and personalized initiatives — contributing to higher customer retention and a higher LTV (customer lifetime value).
By automating analysis and reporting, it significantly improves operational efficiency while helping a company shift from "looking at data" to "acting on data," accelerating DX (digital transformation).
URL: https://kizukai.com/
02 / Challenges
Technical Challenges
A project requiring specialized data science expertise
This project required specialized knowledge of data analysis and machine learning, making advanced data science skills essential. Beyond system development alone, we handled everything end to end — data preprocessing, analysis, model design, and evaluation — to deliver output that translated into real business value.
Performance and scalability challenges in processing large volumes of data
The system needed to efficiently handle a huge, growing volume of accumulated data, with a real risk of processing load and performance degrading as data volume increased. The wide variety of data types and formats also made unified management and consistency hard to guarantee, all while operating in an environment demanding real-time responsiveness and high processing speed. As data volume kept growing, ensuring scalability and stability also became a critical challenge — this was a project that demanded high processing capacity and reliability across the whole system.
03 / Tech Stack
Technologies Used
For this project, we selected the optimal technology stack to fit the requirements, delivering a high-quality, highly scalable system.