For technical discrepancies occurring randomly, analysing bulk data may not be the best approach. It is suggested to pick a sample aligned with the occurrence pattern and curate an FMEA with multi-disciplinary team to identify the potential causes of technical failures, figure out measures of mitigation to establish a reliable inventory management system.

To overcome inventory system challenges, I conduct thorough audits to identify root causes of discrepancies, whether from data entry, stock counts, or integration issues. Implementing real-time tracking with barcode scanners or RFID ensures accurate stock updates. Regular training for staff on inventory management best practices helps prevent human errors. I also set up routine reconciliations between physical stock and system data to catch discrepancies early. Additionally, automated systems with alerts for stockouts or overages allow for quick intervention. These strategies have helped maintain accuracy and ensure smooth business operations.

It is necessary to conduct a repeated inventory of those SKU in which discrepancies were found. Check the movement of these goods in the accounting system. If after this the reasons for the discrepancies are not found, then record the actual quantity of goods at the time of the last recount and conduct random inventories once a month.

To resolve technical discrepancies in the inventory system effectively, start by identifying the root cause through a detailed audit of recent transactions, stock levels, and system logs. Cross-check physical inventory against system records to isolate variances. Engage IT support or the system vendor to troubleshoot technical issues. Update or reconfigure the system as needed to prevent future errors. Train staff on proper usage and implement safeguards like regular reconciliations and error alerts. Communicate findings and solutions to stakeholders, ensuring transparency and restored confidence in the system.

I will assess the situation and identifying the main issues within the inventory system. Gather more data and consult with a few colleagues and with tech support to find an efficient solution. This requires careful handling to prevent further disruption.