Power BI and AI integration for efficient sales anomaly detection

Our Solution

CoreFlex’s solution envisaged a robust system that could :

• Visualize Sales Anomaly data.
• Use Machine Learning algorithms to analyze and modulate sales orders based on different order types, bottlers, and locations.
• Design and develop strategies for a solution that would facilitate the identification of anomalies

The data was stored in SQL databases, which had to be transformed into JSON using a custom tool. The transformed data were then loaded into Power BI, which could be visualized across multiple dimensions and analyzed using different KPIs. The final product was a predictive model that accurately predicted future sales volume anomalies without manual intervention.

A Machine Learning engine was developed to generate trained models based on time series data for sales orders based on different order types, bottlers, and locations.

CoreFlex’s solution was to develop a custom application that the client’s staff would use to record information they were collecting from their system. The system would also be used by them to enter new data as it was generated by their forecasting model.

Once completed, CoreFlex would build a live dashboard that would allow the client to monitor all the activity and send alerts whenever necessary.

The team began by verifying if the business case had been created correctly and that there were no missing data points. Once the validation of the business case was done, we moved on to validate our assumptions. For example, we confirmed our assumptions about how the client would use our product were correct. However, based on research, use-case study, and historic data performance on traditional systems, we found some assumptions were incorrect, so we adjusted them accordingly.

We focused on building a team that could implement these changes successfully. We created a cross-functional team of experts (e.g., design, user experience, and development) so that one person wouldn’t have to take responsibility for multiple areas at once. Another major advantage of using AI ML systems is that it allows them to automate tasks such as data processing that were previously done manually. As a result, using our integrated solution, the client could save money while improving productivity levels.