• Dr Vaishali Wadhe
• Humzah Zakir Wala
• Aryan Ritesh

Using machine learning, dashboards for the sales department can provide businesses with real-time insights into the performance of the sales department, allowing them to identify trends, enhance sales strategies, and improve the accuracy of their sales forecasts. This technical paper outlines a method for building a sales department interface using machine learning on the MERN stack. The methodology involves the utilization of RESTful APIs and various machine-learning methods. Each stage of the process, including data collection and cleansing, algorithm selection, API design, and front-end development, is described in detail. In addition, we evaluate the advantages of using such a dashboard for businesses and highlight the positives and negatives of this approach.

MERN, Dashboard, Machine Learning, MongoDB

"Sales Department Dashboard on MERN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e597-e600, January-2024, Available :http://www.jetir.org/papers/JETIR2401472.pdf

"Sales Department Dashboard on MERN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe597-e600, January-2024, Available at : http://www.jetir.org/papers/JETIR2401472.pdf