Overview

Using AIP, OEM’s and Tier 1’s can optimize the planning and procurement of direct materials, reducing direct material spend and product complexity. AIP simultaneously eliminates the need for manual and time-intensive collection of PLM Parts and their corresponding ERP Part information while also extracting dimensional and other information from supplier documents such as mechanical drawings.

Link your automotive design engineering (PLM) data with your manufacturing (ERP) data to bridge the gap between EBOM and MBOM components. Use AIP for Vision to pull out technical details from PLM data, including mechanical drawings, whether it's neatly organized or not. Then, spot and act on chances to consolidate and enhance the value of component groups identified by AI by simulating unit price changes and identifying the correct suppliers to begin negotiations with.

Features

• AI Entity Extraction: Leverage AIP and large vision models to extract and interpret mechanical drawings and other technical data sources to compare relevant material and dimensions properties across direct material components from different PLM source systems or company product groups.
• Streamlining Materials and Adding Value: AIP uses the extracted properties to suggest potential similar part groupings for VA/VE actions, advancing efforts to standardize designs through the identification of critical characteristics. For example, these groupings could be identical parts or parts that share measurements but are made of different materials.
• Reduce Product Complexity: With Out of the Box Automotive Ontology - Automotive companies will be able to identify opportunities to consolidate parts around common designs, which can lead to bulk buying savings, less inventory overhead, and improved production changeovers. Ensure these changes are tracked and managed in line with Change Control Board (CCB) process to meet OEM Standards.