Ginza Ittoku analyzes market data and past decision history to continually present opportunities tailored to your individual risk tolerance. We aim to optimize revenue based on analytical consistency rather than emotional decisions.
Visualize recommended allocation by risk profile and clarify the basis for decision-making.
Side job income, which depends on one-off projects and waves of demand, fluctuates greatly from month to month. There are many factors that cannot be controlled through individual efforts alone, such as the difference between busy and off-season periods, fluctuations in unit prices for each platform, and a sudden drop in orders.
These fluctuations are one of the main factors that impair household budget planning, making it difficult to build long-term assets. In many cases, decisions about which projects to choose must rely on empirical rules based on limited time.
Ginza Ittoku aims to structurally suppress this fluctuation, rather than eliminate it completely. It acts as an auxiliary layer of analysis that reduces volatility in returns by processing market data in real-time and identifying relatively low-risk opportunities.
AI learns from past decisions and gradually adapts to individual risk tolerances. Below is the basic flow of the process.
We continuously collect and process data such as market demand trends, unit price trends, and project fulfillment rates.
It combines the user's risk tolerance and past selection history to generate a personalized profile.
Based on your profile, we extract and prioritize options that have a good balance between expected return and risk.
Gradually adjust the recommendation accuracy to reflect actual decision results.
The figure below is an example of a recommended allocation model when risk tolerance is divided into five levels. Each segment is calculated based on the variance and standard deviation of expected returns.
Each benefit has a specific rationale.
We control the dispersion of monthly income by allocating it according to your risk tolerance. By reducing dependence on projects with large fluctuations, we aim to reduce the fluctuations in income itself.
Instead of manually comparing information on hundreds of deals, AI proactively filters out options that don't meet your criteria. Only the remaining candidates need to be considered, reducing the time required to make a decision.
The variability of each project is quantified and compared against the tolerance range set by the user. This enables risk management to be based on criteria rather than feeling.
The implementation consists of four stages, with each step helping users understand the process.
Integrate existing platforms and account information to import revenue data.
Answer the questions in question format and set a guideline for the acceptable fluctuation range and investment period.
Based on the initial data and the answers to the questions, AI builds a user-specific model.
The final decision is made by the user himself from among the candidates presented by AI.
The linked data will be processed in an encrypted environment and will not be used for any purpose other than analysis. The final decision-maker is always the user, and AI remains in the role of supporting that decision.
Ginza Ittoku is designed to stabilize your earnings structure through continuous analysis based on data, rather than choosing a side job that relies on intuition or heuristics. Since the market environment is constantly changing, we believe that we need a model that continues to learn rather than fixed rules.
We take the position that the information presented by AI is only meant to assist in decision-making, and that the final decision should always be left to the user.
We provide evidence-based answers to the most commonly asked technical and operational questions.
Ginza Ittoku calculates the risk level of each project in five levels based on the ratio of standard deviation and expected value in past profit data. These criteria are not fixed and can be adjusted by users at any time by answering questions.
The acquired data will be used only for building analytical models and will not be provided to third parties. Account linkage can be canceled at any time from the settings screen.
The purpose of AI is not to guarantee returns, but to structurally suppress the range of fluctuations. Since the market environment itself changes, we do not assume complete stabilization. We aim to reduce fluctuations by making decisions based on analysis.
Ginza Ittoku provides the analysis platform for this purpose. From setting your risk tolerance to starting the initial analysis, it only takes minutes.