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Automated validation framework preventing 80% of SAP EWM implementation failures. Uses Great Expectations, Polars, and SQL.
Predictive labor demand forecasting using Prophet/LSTM. Complements SAP EWM's BRFplus-based labor management.
SKU-level forecasting aligned with SAP EWM wave creation rules. Forecast outputs exposed via OData services.
Optimizing cross-docking operations in SAP EWM for reduced handling time and improved throughput.
Building robust data quality frameworks to prevent SAP implementation failures.
Automating repetitive spreadsheet tasks to improve data processing efficiency.
Using machine learning to detect anomalies in warehouse transaction data.
Extracting and analyzing web data for supply chain intelligence.
End-to-end workflow automation for warehouse exception handling.