Advance their Sales processes by infusing them with AI-based intelligent prediction models. They had more than a decade of sales history data, and they wanted to mine through the data and extract hidden knowledge.
The following were the high-level features that are needed to be implemented in the application:-
- The automobile industry, like any other industry, has different market segments.
- It becomes essential to analyze your business intelligence and consider your competitor's intelligence and all other exogenous data that would impact the decision-making.
- To accommodate their new initiatives, they needed to have an intelligent and accurate sales forecasting system that significantly impacts their business.
- The prestigious autoregressive integrated models of moving averages(ARIMA) and the rarely implemented artificial neural networks (ANNs) and hybrid models were compared.
- RPA bots further utilized these predictions to check the inventory data to assess the needs and initiate appropriate spare parts order processing based on the vendor details and grades.