By classifying all purchasing transactions at the source, AutoClass should provide significant benefits in terms of increased data integrity, and superior sourcing decisions brought about by increased spend visibility.
Gary Reiner General Electric, CIO &
Sr. Vice President
Fortune 100 Company
Revenues: 2001 earned revenues of $125.9 billion
Geographic spread: 100 countries
Industry: Diversified Technology and Services
General Electric is a diversified technology and services company dedicated to creating products that make life better - from aircraft engines and power generation to financial services, medical imaging, television programming and plastics, GE operates in more than 100 countries, employees more than 300,000 people worldwide, and had 2001 earned revenues of $125.9 billion.
The Problem
General Electric wanted to consolidate enterprise spend across the organization in order to derive maximum benefits from its e-procurement initiatives. Another major goal General Electric had was to reduce maverick spend.
Zycus Solution
For it's spend classification initiative AutoClass, an automated UNSPSC classification engine, to facilitate spend analysis and classification of catalog as per UNSPSC schema was deployed. AutoClass Live Connect classified all catalog and non-catalog purchases at the source, thus ensuring data integrity. Thousands of users use AutoClass to classify free text transaction inputs. Results are received within a few seconds and provide granular spend classification for General Electric's purchases.