Abstract
Abstract: AI-based tools and technologies have emerged as successful solutions for a variety of business problems, including sales and marketing optimization. Although social media marketing is widely used today, it requires domain expertise and human effort, making it expensive, especially for Small and Medium Enterprises (SMEs). To tackle this problem, we recommend an AI-powered system and approach for automated advertising campaign generation, making use of a data-driven approach. Our Lead Gen tool allows for the tracking and management of every lead based on campaign specifications. With advanced automation, leads are captured, qualified, and instantly distributed to sales reps to ensure no leads are lost. The Lead Gen tool is divided into modules, with roles defined by department, enabling department heads to track campaign behaviour. In addition, our system includes an inbuilt HRMS management system for leave management at the user level, with admin rights to approve or reject requests. As a web-based campaign management tool, it is efficient and can be accessed from any computer with an internet connection. We have also incorporated a Chat Bot, built using Artificial Intelligence, to address user queries. Our system is flexible, scalable, and offers data protection through the use of cloud computing. With fully redundant and replicated servers, downtime is prevented in case of a disaster.
Cite
CITATION STYLE
More, A. S. (2023). Lead Generation. International Journal for Research in Applied Science and Engineering Technology, 11(5), 4504–4508. https://doi.org/10.22214/ijraset.2023.52669
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