Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a Customer Experience (CX) Platform Using Adobe Experience Manager for a Conversational AI Company
  1. case
  2. Development of a Customer Experience (CX) Platform Using Adobe Experience Manager for a Conversational AI Company

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of a Customer Experience (CX) Platform Using Adobe Experience Manager for a Conversational AI Company

capitalnumbers.com
Information technology
Business services
Human resources

Business Challenges

The client lacked a centralized platform to effectively showcase their conversational AI capabilities and deliver an immersive customer experience. They required a content-heavy CMS to demonstrate AI bot interactions across multiple enterprise functions while maintaining brand consistency and technical scalability.

About the Client

A technology company specializing in AI-powered solutions for enterprise employee support and workflow automation

Strategic Goals

  • Create a rich, immersive customer experience through structured content architecture
  • Enable personalized content delivery to enhance brand advocacy
  • Implement omnichannel capabilities for cross-platform engagement
  • Optimize website performance for faster load times and smoother navigation
  • Demonstrate AI capabilities through interactive content and real-world use cases

Core System Requirements

  • Hierarchical content architecture with parent/child pages and navigation structures
  • AI bot interaction showcase through embedded screenshots and demos
  • Reusable content templates for omnichannel delivery
  • Custom component development for dynamic content presentation
  • Integration with project management tools (Asana) and communication platforms (Slack)

Technology Stack

Adobe Experience Manager
CoreJS
HTML5
CSS3
SCSS

System Integrations

  • Asana ticketing system
  • Slack communication platform

Quality Attributes

  • High scalability for enterprise content management
  • Optimized page load performance (under 2s)
  • Cross-browser compatibility
  • Role-based access control for content management
  • Responsive design for multi-device support

Expected Business Outcomes

The implementation will drive 30% higher customer engagement through immersive AI demonstrations, reduce content management overhead by 40% via reusable templates, and improve conversion rates through personalized experience delivery. The platform will enable real-time customer decision-making with contextual AI interaction examples while strengthening brand positioning as an enterprise AI innovation leader.

More from this Company

End-to-End Data Engineering Platform for Nonprofit Product Reviews
Development of Next-Generation House Arrest Monitoring System
Development of an Educational Credit Management Game for Students
Development of AI-Powered Telehealth Chatbot for Enhanced Patient Care
Modernization of SaaS ERP System with Intelligent Rule Engines and Enhanced UI/UX