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Testimonials
 

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
Solution Area
Spend Analysis
Spend Data Management
Supplier Relationship Mgmt
Strategic Sourcing
eSourcing
UNSPSC Classification
Spend Management
 
 

 
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Customers Case Studies
P&O
Industry: Shipping and Logistics

P&O is a major international logistics and transport company. Its fastest growing business is the development of container ports around the world and it owns half world's second largest container shipping line P&O Nedloyd.

 
The Problem

P&O Ferries in UK was making annual purchases of about GBP 600 million on wide range of products and services, and needed a solution that could help it to get accurate top-down as well as bottom-up views of its spend landscape, thus helping identify opportunities for optimizing its procurement activities.

 
Zycus Solution

Zycus' AutoClass, the AI based fully automated UNSPSC classifier, would power P&O's spend classification initiative. Highly accurate (greater than 90%), AutoClass works at the remarkable speed of more than 50,000 transaction records or SKU's per hour per machine, replacing tedious manual coding while improving costs and accuracy.

 
Result

Zycus' solution is helping P&O get detailed insights into its spend landscape and paving the way for superior sourcing decisions.