Linda Piercy

Linda Piercy is a seasoned AI parts‐management professional with over a decade of hands‐on experience spanning operations, process optimization, and strategic marketing. She began her career on the maintenance shop floor—managing inventory, streamlining part searches, and shaving hours off technician workflows—before leading cross‐functional optimization initiatives that reduced lead times and cut excess stock. In her current role, Linda bridges technical depth and go‐to‐market strategy, crafting data‐driven solutions that empower MRO and supply‐chain teams to find, enrich, and manage parts with confidence.

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

Introduction

In procurement, “good enough” data often feels like a time-saver—just pick the closest match and move on. But in reality, tolerating minor inaccuracies compounds into major cost overruns, strained supplier relationships, and hidden risks. This blog explores why settling for “close enough” data doesn’t work in modern procurement—and what teams can do instead.


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