Overview
The Cycle Count Scheduler is an AI-driven skill that optimizes cycle counting schedules and performs variance analysis to maintain inventory accuracy with minimal operational disruption. It uses ABC classification, statistical sampling, and historical accuracy data to prioritize counting activities and identify root causes of inventory discrepancies.
Capabilities
- ABC-Based Count Frequency Determination: Set count frequencies based on inventory value, velocity, and criticality classifications
- Statistical Sampling Design: Design statistically valid sampling plans that provide accuracy confidence with minimal counting effort
- Count Schedule Optimization: Schedule counts during low-activity periods to minimize operational disruption
- Variance Threshold Alerting: Monitor count variances against thresholds and trigger alerts for significant discrepancies
- Root Cause Analysis Automation: Analyze variance patterns to identify systemic issues and recommend corrective actions
- Perpetual vs. Physical Reconciliation: Compare perpetual inventory records with physical counts and manage adjustments