Manufacturing Collaboration

GET MORE CONTROL OVER SUPPLIERS MANUFACTURING

Get the most out of your suppliers' data through intelligent manufacturing collaboration, which processes, synchronizes, and synthesizes information to closely track problems in the suppliers' manufacturing process.

intelligent manufacturing collaboration
IDAS Supplier Portal

LACK OF REAL-TIME TRACKING OF SUPPLIERS

Knowing suppliers' manufacturing process progress and delivery schedules allow buyers to
make informed decisions when placing purchase orders.
Having real-time access and complete visibility into the progress of the manufacturing process allows them to predict lead times and develop tactical strategies to address problems caused by delays in the manufacturing process or unexpected changes in lead times.
GET REAL-TIME VISIBILITY TO YOUR SUPPLIERS
IDAS Supplier Portal

ACCURACY OF DELIVERY TIMES

Companies need to automate the organization and collect their data to achieve greater control of their supply chain.

Supply collaboration tools based on AI & ML allow them to establish a computerized supplier capacity control system.

It will enable efficient management of operations through an integrated portal of digital tools, which by its automatic learning measures the previous performance and offers specific deadlines.

INTELLIGENT MANUFACTURING COLLABRATION

IDAS manufacturing collaboration tools provide continuous updates on WIP, stock levels, manufacturing routings and first article parts.

Continuous monitoring of supply chain and supplier operations provides early predictions of OTD problems to avoid production line downtime. In addition, it allows immediate attention to be focused on the parts and suppliers that need it.

continuous updates on WIP, stock and routings
IDAS Supplier Portal
Machine Learning for lead time analysis
IDAS Supplier Portal

LEAD TIME ANALYSIS

IDAS offers a module that predicts the delivery time of parts manufactured by the supplier. It analyzes purchasing data, goods receipt data, late lines and quantities, and date confirmation from the enterprise system.

This information flow creates an accurate module capable of predicting whether or not parts will be shipped on time, indicates and updates lead times for each part based on inventory quantity and WIP, and provides recommendations to buyers and suppliers.