AI-Driven Onboarding Automation

The project aims to streamline the onboarding process for inSearchX by leveraging AI-based protocols to automate various tasks across multiple platforms. The current onboarding process is manual and time-consuming, involving repetitive tasks that can be automated to improve efficiency and accuracy. By integrating AI with platforms such as email, web hosting, and APIs, the project seeks to create a seamless and efficient onboarding experience. The goal is to reduce the time and effort required for onboarding new clients or employees, while maintaining a high level of personalization and engagement. The project will involve designing and implementing automation scripts, testing their effectiveness, and ensuring they can be easily integrated into existing systems. This will provide learners with an opportunity to apply their knowledge of AI, automation, and system integration in a practical setting.

AI-Powered Automotive Customer Insights Platform (VOCIE)

InSearchX aims to enhance its understanding of customer feedback in the automotive industry by developing an AI-powered reporting and analysis platform. The project focuses on analyzing automotive voice of the customer data, call transcripts, and owner interviews to extract valuable insights and create customer inspired content. The goal is to create a system that can efficiently process and interpret large volumes of unstructured data, providing actionable insights to improve customer satisfaction and product development. The platform will utilize natural language processing (NLP) and machine learning algorithms to identify trends, sentiments, and key topics from the data. By applying classroom knowledge of AI and data analysis, learners will gain hands-on experience in developing a practical solution for real-world challenges in the automotive sector. Key tasks include: - Designing a data processing pipeline for ingesting and cleaning customer feedback data. - Implementing NLP techniques to extract sentiments and key topics from transcripts and interviews. - Developing a user-friendly dashboard for visualizing insights and generating reports.

AI-Powered Customer Insight Interface

InSearchX aims to enhance its customer engagement strategy by developing an AI-powered client interface that enables users to access and analyze the "voice of the customer." The project involves creating a user-friendly platform that integrates AI technologies for data management and analysis. The goal is to provide clients with actionable insights derived from customer survey and call transcripts, allowing them to make informed decisions. This project will allow learners to apply their knowledge of AI, data analysis, and user interface design. The tasks include designing the interface, implementing AI algorithms for data processing, and ensuring seamless integration for a smooth user experience using AI coding tools to create the interface. The project is intended to be completed by a team of learners from a computer science or information technology program.

AskOtto.ai Go-to-Market Strategy Development

The project aims to develop a comprehensive go-to-market strategy for AskOtto.ai, an innovative AI-driven platform by inSearchX, targeting several business sectors. The primary goal is to identify key market opportunities and devise actionable strategies to effectively position and launch AskOtto.ai in these sectors. Learners will conduct market research to understand industry trends, competitive landscapes, and potential customer segments. They will then analyze this data to recommend tailored marketing and sales approaches for each sector. The project will enable learners to apply their knowledge of marketing principles, strategic planning, and data analysis in a real-world context, enhancing their understanding of how to introduce a new product to diverse markets.