Build an AI-Powered CRM, Sales, and Marketing Automation Platform (HubSpot Competitor)

Build an AI-Powered CRM, Sales, and Marketing Automation Platform (HubSpot Competitor) Job Posting Description: We are looking for an experienced developer (or development team) to create a robust and scalable AI-powered CRM and Marketing Automation platform that will compete with HubSpot and other leading sales and marketing platforms. This platform should include all the core features of HubSpot, such as CRM, sales automation, marketing automation, and customer service tools, along with two advanced AI-driven features to set it apart and provide a unique competitive edge. This project involves end-to-end development, including design, front-end, back-end, and the integration of AI models to enhance functionality. The platform should be user-friendly, intuitive, and capable of scaling to meet the needs of both small businesses and large enterprises. Key Features to Build 1. CRM (Customer Relationship Management) Lead and Contact Management: Ability to manage and organize all customer and lead information in a centralized database. Features for adding, editing, and updating customer profiles with detailed data, such as contact info, company, deal status, history, etc. Segmentation: Users should be able to segment leads based on various attributes (location, behavior, demographics, etc.). Include filters to easily organize and manage contacts for personalized marketing. Pipeline Management: Provide a visual representation of the sales pipeline. Drag-and-drop functionality to manage and track leads through stages (e.g., Lead, Prospect, Negotiation, Closed-Won). 2. Marketing Automation Email Marketing Automation: Build a system to create, schedule, and send personalized email campaigns based on customer behavior. Ability to set up workflows for lead nurturing, including automated sequences, drip campaigns, and follow-ups. Landing Page Builder: Drag-and-drop interface for building landing pages that capture lead information. Integration with forms and email campaigns for lead capture. Social Media Automation: Tools to schedule and automate posts on platforms like Facebook, Instagram, Twitter, and LinkedIn. Analytics to track engagement and performance. A/B Testing: A system for running A/B tests on emails, landing pages, and ads to improve conversion rates. Reports that provide insights on which versions performed best. 3. Sales Automation Lead Scoring: Implement an AI-powered lead scoring system to prioritize high-quality leads based on behavior, demographic data, and interactions. Task Automation: Automate repetitive sales tasks like follow-ups, reminders, and notifications based on preset triggers (e.g., “Follow up with this lead after 3 days”). Live Chat & Chatbots: Integrate live chat and AI-driven chatbots that can qualify leads, answer basic inquiries, and schedule meetings for sales reps. Allow chatbot customization for different types of conversations. 4. Customer Service Tools Ticketing System: Create a system to manage customer support tickets, track their status, and assign them to agents. Knowledge Base: Provide businesses with the ability to create a self-service knowledge base that can help customers find solutions to common problems. Surveys & Feedback: Include tools to send surveys and collect customer feedback after interactions (e.g., post-purchase, after customer support tickets are closed). 5. Analytics & Reporting Customizable Dashboards: Create visual dashboards that show key metrics and KPIs for marketing, sales, and customer service teams. The dashboard should allow users to customize widgets and graphs for their specific needs. Performance Tracking: Real-time analytics for email campaigns, ads, social media posts, and sales conversions. Predictive Analytics: Implement a system that can predict trends and outcomes (e.g., forecast sales, predict churn, identify high-value leads). 6. Integrations Third-party Integrations: Integrate with popular apps and platforms like Google Analytics, Shopify, WordPress, Zapier, Mailchimp, Facebook Ads, and Google Ads. API Access: Provide an API for businesses to integrate their existing systems with your platform. AI-Powered Features to Include 1. AI-Powered Predictive Sales Assistant (Sales Enablement) Objective: This feature will analyze historical data, sales interactions, and customer behavior to predict the likelihood of closing deals and recommend next steps for sales reps. Key Capabilities: Predict lead conversion potential based on historical sales data. AI-driven insights to suggest the best follow-up actions and timing. Lead prioritization based on predicted probability of conversion. Use Machine Learning (e.g., Random Forest, Gradient Boosting) to continuously improve predictions. Technical Requirements: Integrate with the CRM and sales pipeline. Leverage Python (Scikit-learn, TensorFlow) for machine learning and Natural Language Processing (NLP) for analyzing customer communications. 2. AI-Driven Content Personalization & Dynamic Ad Creation Objective: Automatically generate personalized content for emails, landing pages, and ads based on user behavior and demographic data. Key Capabilities: Personalized Email Content: AI will adjust email subject lines, body content, and CTAs to match user interests. Dynamic Ads: Create tailored ads for platforms like Google Ads, Facebook, and Instagram, adjusting images, offers, and text dynamically for each user or segment. Multichannel Personalization: Ensure that the personalized content is consistent across email, website, social media, and ads. Continuously optimize content using Reinforcement Learning to test and adjust for the highest conversion rates. Technical Requirements: Use Generative AI (e.g., GPT-3) to generate content. Integrate Deep Learning techniques to understand customer preferences and adapt content. Project Scope and Timeline Platform Development: Build both front-end and back-end (web-based platform with a responsive design). AI Integration: Develop and integrate the AI-powered features (Predictive Sales Assistant, Content Personalization). UI/UX Design: Clean, modern, and intuitive design. API & Integration: Integrate with third-party tools and provide API access. Timeline: We aim to launch an MVP (Minimum Viable Product) within 6-8 months, with further iterations and feature expansion to follow. Skills Required Full-stack development (HTML, CSS, JavaScript, React or Vue.js, Node.js, etc.) Experience with AI and Machine Learning (Python, TensorFlow, Scikit-learn) Experience with CRM development and Marketing Automation Tools Familiarity with Cloud Platforms (AWS, GCP, Azure) Integration experience with third-party tools and APIs How to Apply Please provide examples of previous projects you’ve worked on in the CRM, marketing automation, or AI space. Share any relevant experience with building scalable platforms with complex functionalities. Include your approach to integrating AI and machine learning into a product like this.