3 min read

Move Beyond “Close Enough” Data in Procurement - and 3 Steps to Get There

Move Beyond “Close Enough” Data in Procurement - and 3 Steps to Get There

Quick Summary

Tolerating “close enough” data in spare parts procurement leads to costly inefficiencies that compound across operations. This article explores the risks of relying on inaccurate spares data—and the exact steps to fix it using Parts Intelligence.

  • Duplicate orders, freight premiums, and audit issues are rooted in poor catalog data

  • “Close enough” creates risk in regulated industries and breaks forecasting models

  • AI-powered audits, rule-based standardization, and data enrichment fix the root problem

  • Parts Intelligence cleanses, enriches, and maps data for fast, accurate part identification

 

Move Beyond “Close Enough” Data in Procurement - and 3 Steps to Get There

Move Beyond “Close Enough” Data in Procurement - and 3 Steps to Get There

Quick Summary Tolerating “close enough” data in spare parts procurement leads to costly inefficiencies that compound across operations. This...

Read More
Navigating Tariff Disruptions: How AI and Parts Intelligence Bring Clarity to Global Supply Chains

Navigating Tariff Disruptions: How AI and Parts Intelligence Bring Clarity to Global Supply Chains

Quick Summary Tariff shocks, supplier instability, and rising raw material costs are creating chaos across global supply chains. In this post, we...

Read More