
Trace stock differences through receiving, transfer, sale, and count events
An illustrative retail and e-commerce concept connecting stock movements, point-of-sale lines, transfer logs, adjustment approvals, and physical counts for retail inventory discrepancy.
Inventory count accuracy (%)
Absolute stock variance value
Unexplained adjustment value
Stock discrepancy resolution time (days)
THE CHALLENGE
Physical stock differences are recorded without a traceable movement history
Stock not visible
Closing stock is reported irregularly or not at all.
Static norms
Stock norms do not change with seasonal sales velocity.
Fast-mover gaps
High-velocity SKUs run out while slow SKUs pile up.
Ordering by habit
Primary orders follow last month's quantity rather than need.

THE SOLUTION
Retail Inventory Discrepancy Review Framework
Count reconciliation
Collect daily or weekly closing stock from every distributor.
Velocity-based norms
Set norms from recent secondary sales velocity and lead time.
Gap identification
Compare stock with norm for every SKU and distributor.
Order suggestion
Show suggested primary quantities for sales team review.
THE APPROACH
Count Cutoff Alignment
Standardise closing stock submissions and track missing reports.
Sales Velocity Calculation
Calculate rolling daily secondary sales by SKU and distributor.
Norm Recalculation
Recalculate days-of-cover norms with lead time and seasonality.
Below Norm Alerts
Retain stock-change reasons, authorizations, reversals, and supporting records instead of treating adjustments as unexplained loss.
Variance Case Prioritization
Create evidence-linked review cases for material differences after correcting documented timing and recording errors.
Reconciliation Closure Verification
Confirm corrected stock records and authorized case outcomes without treating a discrepancy as proof of theft.

THE IMPACT
Cutoff consistency
Count differences could be separated from timing errors.
Transfer visibility
Unmatched movements could be traced across locations.
Adjustment accountability
Approved stock changes could retain their supporting reasons.
Focused investigation
Material unresolved differences could receive structured follow-up.
Controlled review
Authorized teams could investigate cutoff mismatches, unmatched transfers, and unsupported adjustments, with source evidence retained beside the review case.
Measurable evaluation
A pilot could establish baseline values for inventory count accuracy (%) and assess changes after approved actions. A discrepancy would not establish theft or employee wrongdoing.

Explore Distributor Inventory And Stock Norms
Work with RUSA Analytics to connect distributor closing stock, stock norms, secondary sales velocity, and pending primary orders and create a governed workflow to review distributors below stock norm on fast movers or holding excess slow stock. Start with a scoped concept or pilot and agreed success measures.
MORE WORK
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