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組み込みシステム
開発サービス
Embedded system development
使用技術
開発実績
屋内外自動走行ロボットプロトタイプ
System overview
A system that predicts sales of the entire store and each product by utilizing POS data of the retail business, weather information acquired from the outside, and trend information. It can also be used for past sales analysis and trend analysis.
client
Stationery sales
Effect after system introduction
We were able to place orders at the right time, reduce defective inventory and missed sales, and improve profits by about 5%.
Technology
• Prediction engine: RNN model, LightGBM model
• Framework: Keras, Flask
• Language: Python
Development scale
2 people x 4 months
Python Advantage of
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