Identify the factors leading towards surged prices of products via predictive data analysis

Save on the manufacturing cost and control expedited expenses by determining the surged price pattern through predictive data analysis.

Read how GSPANN helped a California, US-based semiconductor manufacturer in determining the factors that impacted the surge in price by the suppliers.

What can you learn from this paper?

  • Optimize cost: By predicting the expedited fees, the client was able to estimate the cost as per the schedule, enabling them to cut-off the expedited expenses.
  • Improved data governance: We put the existing data in a trained model to identify and analyze the factors that may cause price surge.
  • Easy-to-use web application: The web application was hosted on a centralized Azure Cloud platform to display the predictive data, which is comparatively easy to use.

Data Analytics Case Study Download

Analyze the factors causing surged price and save with predictive data analysis