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Development of an AI-Driven Unified Sales and Customer Support Platform
  1. case
  2. Development of an AI-Driven Unified Sales and Customer Support Platform

Development of an AI-Driven Unified Sales and Customer Support Platform

artkai.io
Information technology
Business services

Identifying Challenges in Disconnected Customer Management and Support Operations

A technology organization with multiple sales solutions faces difficulties in managing dispersed customer data, inefficient support ticket handling, and lack of automation-driven insights, leading to slower response times and fragmented customer service experiences.

About the Client

A mid-to-large-sized technology company with a focus on sales automation, seeking to integrate customer data and automate support processes.

Goals for Developing a Scalable AI-Powered Sales and Support Platform

  • Create a comprehensive sales platform that centralizes customer information and knowledge management.
  • Implement AI-powered support automation to enhance response times and accuracy in customer query resolutions.
  • Build an MVP within 9 months to validate core functionalities and facilitate fast market deployment.
  • Support ongoing improvements and scale the platform based on user feedback, aiming for increased user engagement and operational efficiency.
  • Achieve a target of over 3,500 active users within the first phase post-launch, with a focus on improving customer query handling efficiency and enabling data-driven decision-making.

Core Functional Requirements for the AI-Integrated Sales Platform

  • Customer Relationship Management (CRM): Store and manage all customer data and interactions in a unified system.
  • AI Helpdesk: Automate response suggestions, ticket filtering, and issue resolution assistance via AI, with real-time notifications and message scheduling.
  • Knowledge Base: Create a dynamic repository of company knowledge, enabling quick search, updates, and insights generation to facilitate instant customer query responses.
  • Workflow Builder and Automation: Customize, visualize, and automate business workflows and report generation processes.
  • Advanced Analytics: Track and monitor key performance metrics to inform business decisions and measure operational improvements.

Recommended Technologies and Architectural Approaches

TypeScript for both frontend (React) and backend (Node.js) to enhance stability and maintainability.
React.js for frontend development to ensure rapid UI implementation.
AWS Cloud Infrastructure for scalability, cost-efficiency, and high performance.
Amazon Aurora PostgreSQL as the primary database for high availability.
REST API with Swagger for documentation and testing.
Microservices architecture to modularize system components.

Essential External System Integrations

  • CRM systems to synchronize customer data.
  • Support ticketing systems for enhanced query management.
  • Knowledge base platforms for data organization.
  • Analytics tools for performance tracking.

Non-Functional System Requirements for Performance and Security

  • System scalability to support over 3,500 active users with future growth projections.
  • High system availability and uptime (99.9% uptime).
  • Responsive UI accessible across devices, including hybrid mobile applications.
  • Data security and privacy compliance aligned with industry standards.
  • Fast response times for user interactions, aiming for sub-second latency.

Projected Business Benefits and Outcomes from the Platform

The development of this AI-powered sales and support platform aims to significantly improve customer engagement and satisfaction, increase query resolution efficiency by up to 2X, enable scalable growth with 3.5K+ active users within initial deployment phases, and facilitate a robust foundation for continuous feature enhancements, ultimately driving higher operational productivity and revenue growth.

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