Client Re-engagement and Scheduling Platform

Project Name: Client Re-engagement and Scheduling Platform

Project Description:
The aim of this project is to develop a platform for re-engaging and scheduling appointments with previous customers using marketing techniques and AI technology. The platform will allow for the automated or manual entry of customer data from an existing database, facilitating direct and automated interaction across multiple communication channels such as WhatsApp, Telegram, email, and SMS. The objective is to schedule an appointment

Key Features:

Data Importation: Ability to load customer data automatically in batches or enter it manually.
Communication Connectors: Utilize existing connectors and develop new ones to integrate channels like WhatsApp, Telegram, email, and Google Calendar management.
Automated Interaction: Develop an AI using language models (LLM) to interact with customers, applying marketing techniques to maximize re-engagement and scheduling.
API and Backend: Implementation using FastAPI and SQLAlchemy to ensure rapid and scalable development, with support for containerization via Docker.
User Management: A user administration system with hierarchical roles, allowing the master user to manage permissions and access.
UI Portal: The portal should show all conversations, rate of interest of individuals. Should have the hability to handle multiple campaings, have a calendar itself.

Technologies to be Used: (We can discuss)

Frontend and Backend: FastAPI, SQLAlchemy
Containerization: Docker
AI and Language Models: Development of a LLM model adapted to marketing needs and customer interaction.

Detailed Interaction AI-Customer:

The AI will communicate with clients using personalized messaging tailored to their previous interactions and preferences (if exist). It will employ marketing strategies such as urgency signals, customized discounts, and reminders about past services to increase engagement and appointment scheduling.


User Interface and User Experience (UX):

1. Dashboard:
The main dashboard should provide a quick overview of ongoing campaigns, recent customer interactions, and upcoming appointments. It should also display key metrics such as engagement rates, campaign success, and customer interest ratings.

2. Campaign Management:

Campaign Creation: Users should be able to create new marketing campaigns easily. This involves selecting the communication channel (WhatsApp, Telegram, SMS, email), defining the campaign's target audience, setting up the campaign schedule, and crafting message templates.
Template Management: Users should be able to create and save templates for each connector. These templates can be reused in various campaigns, ensuring consistency and speeding up the campaign setup process.
Campaign Analytics: After campaign launch, users should be able to track its performance in real-time with metrics such as open rates, response rates, and conversion rates.

3. AI Customer Interaction:

Automated Conversations: The platform should enable the AI to conduct conversations with customers through the chosen connectors. The AI should utilize pre-defined templates that can be customized in real-time based on the conversation's context and customer data.
Appointment Scheduling: The AI should be capable of scheduling appointments directly into a Google Cloud Calendar or an in-house calendar system based on the customer's preferences and availability.
Interest Rating System: Each customer interaction should be followed by an update in the customer's interest rating, which reflects their likelihood to convert. This rating can help tailor future interactions.

4. User and Role Management:

Role-Based Access Control: The platform should provide different access levels based on user roles. For instance:
Manager Users: Full access to all platform features, including creating users, viewing all campaigns, customer data, and advanced analytics.
Sub Users: Customizable access that might include permissions like viewing only certain campaigns, creating new campaigns, or managing specific communication channels.

Use Cases and Application Scenarios:

A marketing manager wants to reactivate customers who haven't made a purchase in the last six months.
Steps:
1. The manager logs into the platform and navigates to the "Create Campaign" section.
2. They select the customer segment "Inactive for 6 months" and choose SMS as the preferred communication channel.
3. Using the template editor, the manager crafts a personalized message offering a special discount for returning customers, then schedules the campaign for optimal engagement times.
4. Once the campaign is active, they monitor real-time analytics to track engagement rates and tweak the message or schedule as needed.

Implementation Planning and Timeline:

Tentative development and deployment timeline, including beta testing phases and feedback collection to refine the platform.


Current Project Status:

Developed connectors: Email, WhatsApp, Google Calendar management.
Preliminary version of the LLM model, requiring optimization and specific adaptation for marketing techniques.

Next Steps and Deliverables:

Complete the development of additional communication connectors.
Optimize and tailor the LLM model to enhance interaction and persuasion techniques.
Integrate all components into a cohesive platform and test its full functionality.
Develop an intuitive user interface for managing the platform and monitoring customer activity.