Revenue Forecasting using Salesforce for Product and Service Sales

Authors

  • Kiran Konakalla USA Author
  • Hareesh Vennam USA Author

DOI:

https://doi.org/10.47363/JMSCM/2023(2)E117

Keywords:

Salesforce, Revenue Forecasting, Sales Cloud, Product Sales, Predictive Analytics, Forecasting Models, Territory Management, Custom Objects, Contract Management

Abstract

Revenue forecasting is a critical aspect of sales and business strategy, especially when dealing with multiple product lines across diverse territories. This paper outlines a comprehensive model for forecasting revenue in Salesforce based on multiple data points, including product type, territory, sales incentives, historical sales data, contract terms, and sales rep performance. By creating custom objects, fields, and formulas in Salesforce, we can create a predictive model that inputs various parameters and outputs an estimated revenue forecast. The paper will also cover how to implement the model in Salesforce, including the creation of custom objects and fields, and coding solutions for revenue forecasting.

Author Biographies

  • Kiran Konakalla, USA

    USA

  • Hareesh Vennam, USA

    USA

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Published

2023-12-20