Automotive Marketplace App with Ai Agents

If you are bidding on this project you will need to register at [login to view URL] and watch our presentation so that you can understand the full scope of our project. Inside the presentation there is an animated segment on our marketing video that you must pay special attention to. Please mention the name of the main character in the explainer video so I know you watched it. Bids that failure to register and mention the character’s name will receive no reply. I am looking to build an automotive marketplace app that will have a range of features to make it user-friendly for both buyers and sellers. Key Features: - User registration and login, Search functionality, Listing creation and management - 24-7 Ai agents support, API integrations from multiple service providers - In app purchases, Context aware AI agents for tasks API Integrations: - Price comparison, GPS and mapping services - [login to view URL] vehicle search API, Third party services for warranties and ancillary products - AI Tools like [login to view URL] and SalesGPT for handling inbound and outbound calls - API integrations to the CRM/back office we decide on Primary Objectives: - Enhance user experience - Improve efficiency in managing listings and leads - Act as intermediary between dealership and user to enable buyers agent service Ideal Skills: - Proficiency in Flutterflow and GoHighLevel, Suite CRM or other turnkey solutions - Experience with integrating APIs from various service providers - Prior work with AI agent integration, especially in a marketplace setting - Strong communication to understand the omnichannel support required - Design skills for an intuitive and attractive in-app experience NOTE THE ABOVE DESCRIPTION WAS AUTO CREATED BY Freelancer, but I found it might be usefull. = SPEC-01: AI-Powered Auto-Broker Application Development - MVP == Background This project involves developing an MVP for an AI-powered buyers' agent auto-broker app using FlutterFlow and completing an existing partially completed app design(see images). Developer should be able to integrate existing tools and services to maximize development speed and cost efficiency, laying the groundwork for more advanced features in later phases. The app leverages the MarketCheck API for automotive data and employs AI technologies to enhance the car buying experience. == Requirements *Must-Have (MoSCoW Method)* - Continue development off an existing FlutterFlow project with provided screenshots. - Efficient data handling and querying in Firebase Firestore with required indexing. - Integration with MarketCheck API for real-time automotive data.([login to view URL]) - Utilization of pre-trained AI models with contextual awareness, similar to SalesGPT or CrewAi (search Github). - build tools for AI agents so they can utilize Voice, Email and update CRM. (i.e. [login to view URL] for voice) - If possible, use GoHighLevel to provide back office operations for Flutterflow app. - Basic user authentication and profile management. - Implementation of 'My Favorites/My Garage' features for personalized user experiences. - Integration with plug-and-play tools for rapid deployment and feature integration, such as [login to view URL] for voice components. *Should-Have* - Cross-platform functionality (iOS, Android, Web). - Simple analytics to monitor user engagement and app performance possibly using GoHighLevel or Hubspot. - In-app notifications for updates on user-specific interests or deals. - Chatbot integration using existing frameworks for 24/7 customer support. - Partnerships for backend services like warranties and insurance. *Won't Have This Time* - Custom-trained AI models (reserved for Phase 2). - Extensive custom back-end development (utilizing subscription-based services for MVP). == Method === Architecture Design - Utilize existing app framework in FlutterFlow, enhancing it with necessary features and integrations. - Firestore for data storage, with new indexes created to improve the efficiency of data retrieval operations. === Third-Party Integrations - Use MarketCheck API for accessing up-to-date automotive data. - Integrate SalesGPT or similar AI models to support intelligent recommendations and customer interactions. - Employ tools like [login to view URL] for additional functionalities like voice commands, reducing development time. == Implementation *Phase 1: Rapid MVP Development* - Refine existing FlutterFlow application setup. - Complete necessary Firestore indexing for optimal data use. - Integrate MarketCheck API and configure data usage. - Implement voice and chat functionalities using external tools like [login to view URL] and GoHighLevel. *Phase 2: Enhancement and Scaling* (Future Scope) - Develop custom-trained AI models for personalized interactions. - Phase out subscription tools in favor of bespoke solutions. == Milestones 1. MVP Refinement and Setup Enhancement - [Date] 2. API Integration and Initial Feature Launch - [Date + 2 months] 3. Completion of MVP with Essential Features - [Date + 4 months] 4. Review and Planning for Phase 2 - [Date + 5 months] == Gathering Results Evaluate the MVP based on speed of deployment, initial user feedback, and operational stability. Metrics to track include user adoption rates, engagement levels, and feedback on AI-driven functionalities.