Categorization Accuracy Improved by 30%
Navigate your spend.
“By employing a SaaS spend analytics solution combined with sourcing and category expertise, SpendHQ enables Zebra with improved visibility that leads to more consistent identification of sourcing opportunities.” — Ammar Al-Rifai, Sr. Manager, Global Indirect Procurement
Complexity of the Problem: A leader in delivering industry-tailored, end-to-end solutions that intelligently connect people, assets and data, Zebra Technologies helps its customers make business-critical decisions to empower their front line and give them a performance edge. While transforming business is at the heart of Zebra, scaling its rapid growth operationally has brought with it new opportunities for global procurement across North America, EMEA and APAC. ORGANIZATION
Zebra Technologies NUMBER OF EMPLOYEES
7,000 INDUSTRY
Technology
Due to the substantial acquisition of Motorola Solutions’ Enterprise business a few years earlier and the integration of operational and supply chain teams, the global procurement team was looking at reconciling over $500M in indirect spend. But getting spend visibility using manual tools was testing the limits and patience of both Zebra’s category and procurement managers.
The Challenge of Manual Spend Analysis: BUSINESS CHALLENGES
Lack of spend visibility after acquisitions while managing a custom taxonomy of over 100 categories SPENDHQ SOLUTION
SpendHQ Spend visibility
At the time, spend analysis was accomplished using a patchwork of Excel spreadsheets which made spend and category analysis efforts excruciatingly slow and cumbersome. For instance, any spend data refresh or adjustments for reporting, relied on Zebra IT to pull and consolidate spend from several different enterprise systems including two separate ERPs, a T&E platform and a travel system, plus p-cards. Moreover, there was the challenge of categorization taxonomy. Managing a custom taxonomy of over 100 categories was incredibly difficult because the manual process promoted a lack of consistency with how the data was classified and promoted a lack of trust in spend analysis efforts.
S PE N DHQ. COM
|
(888) 880 -219 0