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Customized Service Recommendation Platform
  1. case
  2. Customized Service Recommendation Platform

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Customized Service Recommendation Platform

ein-des-ein.com
Business services
Consulting
Technology

Service Offering Complexity

Difficulty in effectively identifying and recommending the most suitable service packages to potential clients due to fragmented service offerings and unclear client requirement gathering processes

About the Client

A B2B service provider offering tailored business solutions across multiple industries

Project Goals

  • Develop a digital platform for systematic client requirement assessment
  • Create an intelligent service recommendation engine
  • Streamline the client onboarding process
  • Improve service-package matching accuracy by 40%

Core System Functionalities

  • Interactive client registration and profile creation
  • Dynamic needs assessment questionnaire
  • AI-powered service recommendation algorithm
  • Customizable service package builder
  • Admin dashboard for service management

Technology Stack

React.js
Node.js
MongoDB
Python (ML)
AWS

System Integrations

  • CRM system
  • Payment gateway
  • Analytics dashboard

Performance Criteria

  • 99.9% uptime SLA
  • 200ms response time
  • GDPR compliance
  • Mobile responsiveness

Business Impact Projections

Anticipated 30% increase in client retention through improved service alignment, 40% reduction in onboarding time, and 25% revenue growth from optimized service package utilization within the first two years of implementation

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