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PROJECTS
- CornAI - The Projects Is in center
- Law Buddy - The projects is stared
- ZoXach- Not stared
- UniW- Finished
- FinSage - Not stared
Corn AI
Corn-AI is an advanced WhatsApp CRM tool developed by Comic Fix, designed to revolutionize customer relationship management through cutting-edge artificial intelligence. It integrates LLaMA for natural, personalized interactions and utilizes React.js for a responsive interface, alongside Node.js and Malitio for efficient data processing. Corn-AI is versatile, offering deployment options for both on-premises and cloud environments, making it an ideal solution for enhancing customer engagement, optimizing CRM operations, and scaling with business growth.
Key Features
- Automated Customer Segmentation: Automatically categorizes customers into segments such as new leads, returning clients, and VIPs based on their chat behavior and interaction history. This feature personalizes interactions while adhering to WhatsApp’s guidelines on unsolicited messaging.
- Message Scheduling for Customer Follow-ups: Enables businesses to schedule messages for follow-ups, reminders, and special offers, ensuring messages are sent only to customers who have opted in. This maintains customer engagement while complying with WhatsApp’s bulk messaging rules.
- Quick Replies and Response Templates: Allows the creation of quick reply templates for common queries, streamlining communication within WhatsApp’s 24-hour service window. This enhances response efficiency and adheres to WhatsApp’s automated messaging policies.
- CRM Integration for Data-Driven Insights: Integrates with CRM systems like Salesforce or HubSpot to pull customer data and interaction history, generating valuable reports. This supports manual follow-ups and optimizes CRM operations without engaging in bulk messaging.
- Interactive Chat Widgets: Provides widgets that businesses can embed on their websites to initiate WhatsApp conversations. These widgets allow customers to select specific services or support topics, facilitating user-initiated interactions while respecting WhatsApp’s consent-focused policies.