Parker Chelsea teamed up Algro in 2013 to build a web based integrated reporting and forecasting system (CIRS). This required Algro data science and modeling team to study and analyzed 10 years of our client’s historic data for 14k parts for building the “Predictive Analytics” using Neural Networks and Regression modeling techniques. A total of over 120 different models were built. The key modules of the CIRS systems included:
ACTUAL (Historic Data): Role Based drill down summary and detail reports:
To view "role based" drill down summary and detail dashboards and reports by Order Qty, Product Type, Product Name, Customer Type, Customer Name based on various time periods (Daily, Weekly, Quarterly, Bi Annually, Annually, YoY, Custom Data Range.
FORECAST (Predictive analytics using neural networks and regression modeling techniques) Role Based Drill down summary and detail reports: To view "role based" drill down dashboard and reports by Part Number, Customer Type, Product Code, Product Series.