A Governed Method to Multi-Warehouse Inventory Optimization
Begin with a reconciled baseline and a decision boundary. CEOs,
operations, supply-chain, warehouse and finance leaders should agree what is controlled, which records
establish identity, how exceptions are contained and who authorises release or change.
Design the exception path before the dashboard. Decide what happens
when identity is missing, a transaction is late, two sources conflict, an interface fails or an approver is
unavailable. Each override needs a reason, accountable authority, affected scope and expiry.
Measurement and pilot acceptance
Measure forecast accuracy, forecast bias, service level, stockout
rate, inventory turns, planning exception ageing with approved formulas, units, periods and sources. Run
normal, rejected, corrected and replayed transactions. Scale only after operators, managers, finance and IT
accept usability, accuracy, reconciliation, recovery and support.
Data readiness and ownership
Profile demand history, forecasts, items, locations, available stock,
reservations, incoming supply, lead times, buffers, reorder policies, allocation rules, recommendations and
planning exceptions for missing identifiers, duplicates, inactive values, inconsistent units, ambiguous
ownership and unreconciled balances. Preserve discrepancies as issues instead of forcing an artificial
balance.