On Time Delivery Risk Management

ACCURATELY PREDICT DELIVERY DELAYS!

Optimize on-time delivery performance, analyze and predict production problems, the use of predictive algorithms ensures in-depth performance analysis that indicates delivery problems up to 90 days ahead.

predicts delivery issues 90 days in advance
IDAS Supplier Portal

POOR ON-TIME DELIVERY SHOWS EFFICIENCY ISSUES!

Continuous OTD failures reveal inefficiencies in production and material handling. They severely affect the supply chain, causing: material shortages, delays in dates, higher costs of line modification, additional shipments, and loss of customer credibility. In the face of supply crises, companies report that:
Only 26% managed to predict these problems on time Most had to expedite the shipment; lost significant revenue, and suffered reputational damage.
Part Number Drill Down
IDAS Supplier Portal

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.

proactive delivery management
IDAS Supplier Portal
ensure on-time deliveries
IDAS Supplier Portal

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.