Abstract
Sales forecasting is a crucial aspect of business management, which involves predicting future sales based on historical data and market trends. Accurate sales forecasts are essential for effective decision-making, such as inventory management, production planning, and resource allocation. This study explores the application of mathematical modelling in sales forecasting. A case study approach was used to demonstrate how mathematical modelling can be deployed to develop accurate sales forecasts. Specifically, historical sales data and market trends were used to develop mathematical models, including regression analysis, and time series analysis, to predict future sales.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
