Automated Root Cause Analyzer

Root cause analysis is a vital tool for identifying process gaps, enabling organizations to optimize operations, reduce losses, and enhance profitability. It also plays a key role in raising awareness among team members and improving overall process transparency.

The starting point of any root cause analysis typically involves reviewing the inventory ledger. This ledger provides a detailed and timely record of all stock movements. Any discrepancies or incorrect transactions often leave a trace, which can be analyzed to detect issues such as inventory shrinkage. By collaborating with the store or warehouse operations team, the underlying causes of such shrinkage can be effectively identified.

Leveraging Python, it is possible to automate the primary cause analysis. This automation enables quicker and more accurate identification of root causes behind major problems, supporting data-driven decision-making and continuous improvement.