MiiSense
Demand forecasting and anomaly detection, in a form that shows "why this prediction." It keeps retraining automatically after deployment to maintain accuracy.
What Is MiiSense
MiiSense is an AI product that learns from internal and external data to forecast demand and detect anomalies, supporting decision-making.
Its hallmark is a white-box design (SHAP/LIME, methods that explain a prediction's rationale at the feature level) that can explain the basis of each forecast down to individual features. Beyond demand forecasting, it can also be applied to inventory optimization, delivery volume forecasting, and more.
Struggling with Inventory and Demand Issues Like These?
- Ordering based on KKD (experience, intuition, and gut) leads to repeated cycles of excess inventory and stockouts.
- Waste from disposal and lost sales opportunities are quietly eroding profits.
- AI predictions can't be explained ("why this number?"), so management and frontline staff won't adopt them.
Just Feed In Your Data. From Forecast to Action, in 3 Steps.
Start a cycle of forecasting and improvement right away, using the data you already have.
01Input Your Data
Upload your data, such as CSVs. Automatic validation and quality checks are run, and a dashboard lets you grasp the full picture right away.
02AI Forecasts and Detects
An ensemble of 4 machine learning models forecasts demand and detects signs of anomalies. The optimal model is automatically selected for each product.
03Verify the Rationale, Then Act
Check "why this prediction" with SHAP/LIME, then move on to order proposals, ROI estimation, and reporting. Make decisions backed by evidence.
* Screens shown are sample data for illustrative purposes.
Why MiiSense Is Chosen
White-Box AI That Shows Its Reasoning
Visualizes "why this prediction" using SHAP/LIME (methods that explain a prediction's rationale at the feature level). Fulfills accountability to management and frontline teams, building trust in AI.
High Accuracy Through a 4-Model Ensemble
Trains LightGBM, XGBoost, Ridge, and Stacking simultaneously, automatically selecting the optimal model for each product. Achieves both demand forecasting and anomaly detection.
ROI Estimation and Automatic Retraining
Estimates the impact of deployment as annual cost savings and payback period. Continues retraining automatically after deployment to maintain accuracy.
Also supports scenario analysis (What-If), a conversational AI chat, report output (Excel/CSV), and REST API integration.
MiiSense by the Numbers
See how we think about the quality and evidence-building behind "why this prediction."
See Our Approach to QualityScreen Examples
Anomaly Detection Alerts
Automatically detects sudden spikes or drops in sales volume and notifies you based on severity. Helps you catch unexpected changes early.
ROI Simulation
Compares manual ordering with AI-driven ordering and automatically estimates annual cost savings, waste reduction rate, and payback period.
Model Management & Automatic Retraining
Compares the accuracy of all 4 models and shows the optimal model for each product. Automatic retraining maintains accuracy over time.
Frequently Asked Questions
What kind of data do we need?
We integrate internal and external data relevant to demand and anomalies. You can start with a PoC (small-scale proof of concept) using the data you already have.
Can we see the basis for the predictions?
Yes. SHAP/LIME (methods that explain a prediction's rationale at the feature level) let us explain "why this prediction" at the feature level.
Can prediction accuracy be maintained over time?
It keeps retraining automatically after deployment to maintain accuracy. Accuracy varies depending on the target task and the quality and volume of data.
Can it be used for things other than demand forecasting?
Yes. It can be applied to a wide range of forecasting and optimization tasks, including inventory optimization, delivery volume forecasting, demand forecasting for promotional materials, and ad bid optimization.
Can we try it before adopting it?
Yes. A free consultation lets you verify the impact and ROI using your own company's data on a small scale (an estimate; varies by project).
Ready to Try Forecasting with Your Own Data?
A free consultation lets you verify the impact and ROI of MiiSense.
* Screens, figures, and graphs are illustrative displays using sample data.
* "200+ projects" is the development track record of operator Miichisoft (our own track record).
* Prediction accuracy, ROI, and reduction effects vary depending on the target task and the quality and volume of data (company estimate).