In this practical, no-BS session, we will recreate and troubleshoot a real-world predictive procurement case study: that of a procurement team drowning in a host of ‘dirty’ data challenges such as missing item description issues, unit of measure errors, transposed identifiers between vendor numbers and OEM numbers. The presenters will showcase how this team used predictive procurement to transform every data quality issue into rapid cost savings. For those unfamiliar with predictive procurement orchestration, this breakout will offer an overview, real-world case study, practical examples, and best practices for implementing predictive approaches to complex, highly technical, and constrained spend categories such as CapEx, metals, raw materials, packaging, and logistics.

Contributors: Arkestro, Crown International
Categories: 2024 Spring - Asheville, Summit Presentations
SRC Type: Disruptive Digitization