CADSEEK Analytics provides a fully automated analysis of the CAD database using shape to analyze for duplication and variances. For example:
Compare every item where supplier equals ACME to every item where supplier equals NewCo, and report all instances where shape similarity is greater than 90%.
Attributes such as cost, as well as filters such as material, can be used to show unwarranted variances such as when similar parts are purchased at a significant price variance.
Many duplication or variance discovery project are desired, but not executed due to manpower requirements. CADSEEK Analytics solves this problem by provided fully automated analysis so that analysts have a road map to duplication and variances.
A database of 15,000 designs requires 224,985,000 comparisons. CADSEEK Analytics can complete this work in roughly 5 seconds on an i7 laptop.
Key Users are Efficiency Managers and Information Technology Departments
Key Users Cases Include Discovery of:
Duplication or functional duplication for consolidation
Pools of similar parts for standardization
Unwarranted variances in price or performance
Discovery of attribute inconsistencies
Mergers: Overlap analysis
