Inventory Adjustment Evidence Packet

The problem

Inventory discrepancies between system balances and physical counts often lead to premature write-offs or unverified shrinkage claims. Operations and finance teams struggle to reconstruct movement cutoffs, status changes, and unit conversions across fragmented records without losing traceability.

What it does

• Organizes physical counts, recounts, and system snapshots into a unified, traceable evidence packet.
• Reconstructs inventory chronologies by mapping receipts, picks, transfers, and returns against count freeze times.
• Distinguishes between physical on-hand, reserved, allocated, quarantined, and in-transit stock populations.
• Identifies gaps in serial number history, lot tracking, and unit-of-measure conversions.
• Surfaces specific conflicts such as duplicate transfer postings, omitted locations, or unsupported valuation claims.

Why this beats prompting it yourself

This skill enforces a strict neutral stance, preventing the AI from making unauthorized accounting decisions or guessing at root causes. It implements a rigorous 26-step workflow that ensures system postings and physical movements are never conflated, providing a source-indexed ledger ready for professional audit review.

Use cases

• Reconciling warehouse cycle counts where first and second counts show unexplained variances.
• Auditing omnichannel retail locations where ecommerce reservations and store returns overlap.
• Reconstructing movement cutoffs for high-value serialized assets during facility transfers.
• Preparing evidence packets for finance teams to review before approving inventory adjustments or journal entries.

Known limitations

Requires user-supplied files or data via the Read tool. It cannot access live ERP, WMS, or POS systems directly, nor can it certify financial accuracy or prove employee misconduct.