External signals · impact on AVY
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Action Plan · CFO

30 · 60 · 90 days — Predictive Yield & Uptime

Owner: CFO

First 30 days

Foundations
  • Engage Walmart operations team to baseline current unplanned downtime, scrap rate, and energy per unit using SAP ERP and MES data.
  • Identify top 3 production lines at Walmart with highest downtime and scrap rate.
  • Establish cross-functional task force (operations, IT, finance) for Predictive Yield & Uptime initiative.
  • Define data integration requirements between SAP ERP, MES, and energy monitoring systems.

First 60 days

Validate
  • Deploy predictive analytics pilot on selected Walmart production lines using MES and SAP ERP data.
  • Implement real-time monitoring dashboards for unplanned downtime, scrap rate, and energy per unit.
  • Conduct weekly reviews with Walmart operations to track progress against baseline KPIs.
  • Initiate root cause analysis for downtime and scrap events, prioritize actionable interventions.

First 90 days

Decide & scale
  • Achieve initial reduction in unplanned downtime from 8% to 5% on pilot lines at Walmart.
  • Reduce scrap rate from 4.5% to 3.0% through targeted process improvements.
  • Lower energy per unit index from 100 to 90 via optimized production scheduling.
  • Prepare executive report quantifying financial impact and ROI for Walmart, with recommendations for broader rollout.

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