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Development of an Omnichannel Experience Platform for AI Service Promotion and Customer Engagement
  1. case
  2. Development of an Omnichannel Experience Platform for AI Service Promotion and Customer Engagement

Development of an Omnichannel Experience Platform for AI Service Promotion and Customer Engagement

capitalnumbers.com
Technology

Identifying Challenges in Showcasing AI Services and Enhancing Customer Engagement

The client possesses a conversational AI system that automates a significant portion of help desk requests but lacks a dedicated platform to effectively showcase these AI services and transform the customer experience. This gap hampers the client's ability to promote their offerings, create engaging digital experiences, and retain customers across multiple channels and touchpoints.

About the Client

A mid-to-large technology firm specializing in conversational AI solutions for enterprise support, seeking to enhance customer experience and promote their AI services across digital channels.

Objectives for Developing a Next-Generation Customer Experience and AI Service Platform

  • Design and implement a comprehensive content management system (CMS) that supports rich media, including screenshots and demonstrations of AI interactions.
  • Develop a structured, scalable website architecture with main pages, subpages, resource hubs, and knowledge centers optimized for omnichannel delivery.
  • Create interactive and personalized digital experiences that highlight AI functionalities such as multi-language support, instant responses, and contextual interactions.
  • Improve website performance, including faster load times and smoother navigation, to enhance user engagement.
  • Enhance brand visibility and customer retention by delivering intuitive, high-quality interactions and rich content.
  • Enable content updates and management through a robust platform that supports bulk publishing and component customization.

Core Functional Requirements for the AI Service Promotion Platform

  • Hierarchical web page structure with main pages, subpages, and resource directories for organized content delivery.
  • Integration of visual demonstrations, including screenshots of AI chatbot dialogs across different domains such as IT, HR, Facility Management, and Finance.
  • Display of AI features including greeting messages, form responses, PDF links, product suggestions, multilingual support, and 24/7 availability.
  • Advanced content management capabilities enabling bulk publication, component creation/removal, and visual customization.
  • Utilization of reusable templates for consistent design and ease of updates across multiple channels and devices.
  • Inclusion of multimedia content such as videos, knowledge bases, case studies, and comparison charts to enhance engagement.

Technical Platform and Technology Preferences for the Experience Platform

Content Management System supporting modular templates and digital asset management
Custom code utilizing HTML5, CSS3, SCSS, and CoreJS for front-end customization
Frontend frameworks enabling responsive and dynamic UI components
Content publishing automation via bulk activation tools

Integrations with External Systems for Content and Asset Management

  • Digital Asset Management systems for storing and retrieving images, PDFs, and multimedia files
  • Communication tools such as Slack and project management platforms like Asana for team collaboration
  • AI interaction logs and screenshots repository for displaying chatbot conversation samples

Non-Functional Performance and Security Requirements

  • Scalable architecture supporting large content hierarchies and high traffic volumes
  • Faster page load times optimized for multiple devices and channels
  • High availability and uptime to support 24/7 support visuals and interactions
  • Secure content management and user access control to protect sensitive resources
  • Responsive design ensuring consistent experience across desktops, tablets, and smartphones

Projected Business Impact and Benefits of the Experience Enhancement Platform

The implementation aims to deliver a rich, immersive customer experience that effectively showcases AI capabilities, fosters brand loyalty, and increases customer engagement. Anticipated outcomes include faster content deployment, improved site performance, higher customer retention rates, and a positive brand perception, similar to a six-month successful deployment achieving structured content hierarchy, rich multimedia integration, and omnichannel delivery.

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