E-commerce and retail
AI demand forecasting for a Tokyo character-goods brand
Xcrino built a machine-learning demand-forecasting model for a character-goods brand based in Tokyo, Japan. The model predicts which products will sell, so the brand can plan stock and product launches. Built in Python with scikit-learn and XGBoost over 3–6 months in 2024–2025, it helped lift the brand's online sales revenue by 20–35% year on year.
Result: Online sales revenue up 20–35% year on year
Read the case study