PROACTIVE OTD MANAGEMENT
The use of advance machine learning and big data analytics tools enables companies to achieve more significant growth, reduce the cost of operations, maximize shipping times and achieve greater profitability.
Companies need to anticipate problems and have alternative solutions in case of manufacturing delays.
The use of a OTD risk management system allows companies to make the right decisions to avoid chasing parts, suppliers, past dues and line stoppages.
CONTROL CRISES BEFORE THEY HAPPEN
You need an intelligent system that synchronizes and analyzes companies' EPR and MPR and allows access to suppliers.
IDAS parts prediction application offers an intelligent algorithm that enables proactive delivery management, pinpoints potential problems, and offers alternative solutions for better decision-making.
Identify problematic elements in your supply chain at an early stage before reaching the critical stage.
RISK PREDICTION SYSTEM
At IDAS, we designed a sophisticated PPA algorithm through which supplier information and activities can be evaluated and monitored in-depth well in advance.
This innovative solution offers companies a complete understanding of historical and current supplier records and manufacturing and shipping processes trends.
The algorithm accurately predicts the number of parts manufactured by the supplier up to the time entered into the system. The company then designs suitable strategies to ensure on-time deliveries.
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