Forecasting – Demand and Production Prediction Systems

Where Did the Need Arise?

Production planning and supply management are often based on past experience, intuition or fixed rules. But in an environment where market dynamics change so rapidly, acting based on historical data has become inevitable.

Wrong forecasts lead to:

• Stock surplus or shortage,
• Imbalanced use of production resources,
• And damaged customer satisfaction.

Companies now want to forecast both demand and production needs using data.

What Do We Offer?

At TiriBit Software, we analyze past sales, production, order and seasonal data to develop statistical and AI-supported forecasting systems.

Solution components:

• Time-series analysis and seasonality modeling (ARIMA, SARIMA, Prophet etc.)
• Demand forecasting with machine learning (XGBoost, LightGBM, LSTM etc.)
• Forecast revisions with real-time data updates
• Production/stock suggestions based on forecast results
• Error rate calculations, confidence intervals and visual dashboards

What Problems Does It Solve?

• Storage costs due to overproduction
• Sales loss and customer dissatisfaction due to underproduction
• Being caught unprepared for seasonal changes
• Weakness of manual and intuitive planning

Where Is It Used?

• Automotive and spare parts demand management
• Retail and distribution networks
• All production enterprises working with stock
• Companies producing by campaign, season or trend

Gains

• Improved accuracy in production and inventory planning
• Logistics processes become more predictable
• Fast and accurate response to customer demand
• Reduced costs such as scrap, idle stock and unscheduled overtime
• Management makes data-driven decisions, not intuitive ones