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.

Client Onboarding Process Optimization and Dashboard Development

The goal of this project is to streamline and enhance the client onboarding process for inSearchX by developing a comprehensive dashboard within the project management software, Monday.com. The current onboarding process lacks a centralized system for managing tasks, communications, and integrations, leading to inefficiencies and potential miscommunication. By defining clear onboarding processes and building a supporting dashboard, the project aims to improve internal and external communication protocols. This will involve integrating related tools such as calendars, email, and billing systems to ensure seamless operations. The project provides an opportunity for learners to apply their knowledge of project management, software integration, and process optimization, aligning with their academic program's skill set.

Corporate Website Revamp for inSearchX

The project involves refreshing and updating the corporate website of inSearchX, www.insearchx.com. The current website needs a modern design overhaul to enhance user experience and align with the latest web design trends. The goal is to improve the website's visual appeal, functionality, and accessibility, ensuring it effectively communicates the company's brand and services. The project will focus on optimizing the website for mobile devices, improving load times, and ensuring compliance with web accessibility standards. The team will also review and update the website's content to ensure it is relevant and engaging for the target audience. This project provides an opportunity for learners to apply their knowledge of web design, development, and content management systems.