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AI-Driven Business Analytics Platform for Product Management and Customer Journey Optimization
  1. case
  2. AI-Driven Business Analytics Platform for Product Management and Customer Journey Optimization

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AI-Driven Business Analytics Platform for Product Management and Customer Journey Optimization

celadonsoft.com
Business services
Information technology

Challenges in Business Growth and Data-Driven Decision Making

Medium and small businesses struggle with identifying product bottlenecks, optimizing customer journeys, and making data-driven decisions due to lack of affordable business analysts and product management tools. Data quality issues, security concerns, and varying B2B/B2C data segmentation further complicate accurate predictive analysis.

About the Client

A medium-sized technology company developing AI-powered business analytics solutions for product management and customer journey mapping

Platform Development Goals

  • Create AI-powered virtual business analyst and product manager assistants
  • Develop automated data preprocessing and validation systems
  • Implement secure, client-specific CRM data storage
  • Enable ROI analysis and growth recommendations for startups and SMEs
  • Provide predictive analytics for sales, user behavior, and product effectiveness

Core System Functionalities

  • Virtual BA Assistant for customer journey mapping and conversion forecasting
  • Virtual PM Assistant for ROI analysis and product bottleneck detection
  • Startup ROI Auto-Evaluation Tool
  • Data Preprocessing Microservice for data cleaning and normalization
  • Secure Client-Specific CRM Generation System

Technology Stack Requirements

Flask
Django
FastAPI
React
Angular.js
D3.js
Tableau
MySQL

System Integration Needs

  • Third-party CRM systems
  • Data visualization tools
  • Cloud storage services

Non-Functional Requirements

  • Data encryption and security
  • Scalable architecture
  • High prediction accuracy
  • Cross-industry data adaptability
  • User-friendly interface

Expected Business Impact

Enables businesses to reduce operational costs through automated analysis, improve product decision-making accuracy by 40%, accelerate growth through optimized customer journeys, and achieve 25% faster time-to-market for new products while maintaining enterprise-grade data security.

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