AI-Based Demand Forecasting System for Retail Chain

Challenge

Due to experience-based ordering, the retail chain frequently suffered from both stockouts and excess inventory. Combined opportunity and waste loss reached 25%, hurting profitability.

Solution

BinaryTech developed a machine learning model using time series analysis, seasonality, and promotional events. Integrated with Odoo ERP to provide automatic order suggestions weekly/monthly via dashboard.

Results
  • Reduced opportunity loss by 10%
  • Reduced waste loss by 25%
  • Increased sales by 5%
  • Reduced order-related workload by 50%
3 months
See the Application in Action

Explore screenshots and key features from real-world projects we’ve delivered. These demo visuals give you a clearer picture of the solutions we provide.

Dashboard 1
Stock transition graph
Dashboard 2
Inventory Management Table
Top 3 user-recommended features
Mr N.Tomoya Logistics Manager
5.0

Thanks to AI-powered demand forecasting, we've significantly reduced the risk of overstock and stockouts. The app leverages historical data for accurate predictions, enabling faster and more rational ordering decisions.

Mr T.Naoto Director of Corporate Planning Office
5.0

Key metrics for management decisions are now visualized, making interdepartmental alignment smoother. The forecast model is highly accurate, increasing the reliability of our weekly reports.

Mrs K.Ayano Head of Product Planning Department
5.0

Since implementing AI forecasting, we’ve been able to anticipate the factors driving sales fluctuations, making our sales planning much more efficient. One of its key strengths is accurately capturing demand differences across seasons and regions.

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