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Development of a Scalable WhatsApp-Based Corporate Training Platform
  1. case
  2. Development of a Scalable WhatsApp-Based Corporate Training Platform

Development of a Scalable WhatsApp-Based Corporate Training Platform

cheesecakelabs.com
Education
Business services
E-learning

Challenges Faced by Enterprises in Scalable Remote Training Delivery

The client faces difficulties in managing operational workload for trainers, effective communication with a distributed student base, and delivering training content efficiently. The growing demand for scalable, simple, and practical knowledge dissemination through widely used messaging apps has remained unmet, leading to inefficient training processes and low engagement metrics.

About the Client

A mid to large-sized enterprise specializing in corporate training and workforce development, seeking to streamline communication and content delivery via messaging platforms.

Goals for Developing a Next-Generation WhatsApp Training Platform

  • Create a scalable communication platform integrated with WhatsApp to enable efficient messaging between tutors and students.
  • Reduce operational workload for trainers by providing an intuitive web interface for course management.
  • Enhance student engagement by delivering content in a user-friendly, permissioned environment that respects messaging best practices.
  • Achieve high content retention, aiming for over 70% of users engaging with all delivered materials.
  • Ensure platform scalability to handle millions of messages sent and received, serving over 80,000 students.

Core Functional Specifications for the Messaging and Course Management System

  • Admin panel for customized course flow design adaptable to different enterprise client needs.
  • Backend system built on Python and Django for course and user management.
  • Tutor web platform employing a WhatsApp Web-style interface for communication and conversation management.
  • WhatsApp messaging integration to send and receive course content and manage interaction flow.
  • Student bot interface endorsing permission-based messaging, utilizing the 24h message window to optimize communication efficiency.
  • Scalable architecture capable of handling large volumes of message traffic.

Preferred Technologies and Architectural Approaches

Python with Django for backend development
React for frontend interfaces
Twilio API integration for WhatsApp messaging
Secure, scalable cloud infrastructure

Essential External System Integrations

  • WhatsApp Business API via Twilio for messaging
  • Internal course/content management systems (if applicable)

Critical Non-Functional System Requirements

  • Scalability to support millions of messages and over 80,000 active users
  • High availability and uptime
  • Data privacy and security compliant with messaging platform standards
  • Responsive interfaces for web-based tutor platforms

Projected Business Benefits of the New Training Platform

The platform is expected to facilitate over 2 million messages exchanged per month, significantly lowering operational tasks for trainers, increasing student engagement to over 70%, and enabling the enterprise to scale their training programs efficiently across large and dispersed workforces.

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