Context: In manufacturing and packaging operations, Scrap and Material Waste Rate is a core KPI because it shows how consistently good production runs are repeated across changeovers, shifts, and product variations.

Challenges: Settings drift after changeovers, operators apply slightly different adjustments, and quality checks happen after material is already consumed. Lessons from one shift don't reliably carry to the next, and each instance feels minor until it accumulates into scrap.

Solution: The Scrap Reduction Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors settings and operator behavior as a run progresses and intervenes during changeovers and SKU transitions, flagging drift from proven parameters before defects become scrap.

Impact: Plants adopting this approach see good run conditions hold across changeovers and shifts, with waste coming down not because effort increases, but because execution responds in time to keep production within proven limits.