How to fix inventory mismatches across spreadsheets and ERP

A stock mismatch is usually an event problem

A warehouse sheet, sales system and ERP can each show a different quantity while accurately reflecting the events they received. One may include reserved stock, another may not include a late goods receipt, and a third may treat returned goods as available. Start by defining what each number means before choosing a dashboard or forecasting model.

Trace one item through the operation

Select a small set of items across one warehouse and follow their movements over a defined period. Record the system, time, unit and identifier for every event. Reconcile opening stock plus valid receipts minus dispatches and adjustments against a physical count. Keep available, reserved, damaged and in-transit stock distinct.

• Check unit-of-measure conversions, such as cartons versus individual units.
• Identify duplicate imports and transfers recorded at only one location.
• Separate the event time from the time the system received it.
• Document how returns, cancellations and manual adjustments are approved.

Make integrations resilient to normal failures

Assign a stable identifier to every movement. Let integrations retry safely without posting the movement twice. Put rejected records into a visible review queue and reconcile both systems after recovery. A dashboard should show data freshness and unresolved events as well as stock totals. A stale but attractive report can create more confidence than the data deserves.

Add prediction only after the records agree

Demand forecasting or anomaly detection becomes more useful when item identities, units and event history are reliable. Evaluate predictions against a simple baseline, and test promotion periods, seasonal variation and new items separately. Keep buyer or planner approval for replenishment decisions until the operational scope and limits have been agreed.

Pilot measures and next steps

Track mismatch rate by item and location, unresolved event age, manual reconciliation hours and stock adjustments after investigation. Begin with one warehouse and a limited integration path. Bring your stock definitions, sample movement records and current exception process to discovery. SOFT TASK India can scope the integration and data controls before a wider supply-chain or predictive-AI rollout.

Common questions