Logo
Product & Platform Engineering
Product & Platform Engineering
Product Thinking | Workflows
Explore More
Data & AI
Data & AI
Data Engineering | ML | Analytics | Visualization
Explore More
Digital Engineering
Digital Engineering
Responsive Front End | Backend | Microservices
Explore More
Mobility
Mobility
Native | Cross Platform | Internet of Things
Explore More

Featured Insights

How BigThinkCode transforms Demand Planning for Supply Chain management?
How BigThinkCode transforms Demand Planning for Supply Chain management?
View More
AI-Driven Logistics: Redefining Supply Chain Operations
AI-Driven Logistics: Redefining Supply Chain Operations
View More
Real-Time Personalization with Streaming Data: How E-Commerce Uses API Logs to Boost Sales
Real-Time Personalization with Streaming Data: How E-Commerce Uses API Logs to Boost Sales
View More
AgriTech Innovations
E-commerce & Retails
Healthcare
Industrial Automation 4.0
Banking
Education
Transportation & logistics
Insurance
Life Sciences
Travel & hospitality
Investment Banking
Telecom
Public Sector
Financial Institutions
Supply Chain Management (SCM)
Business Intelligence Systems (BIS)
Open source & community driven
Marketing & Sales
CompanyInsightsContactJoin us
  • What we doSub Menu
    • Product & Platform Engineering
    • Data & AI
    • Digital Engineering
    • Mobility
  • Who we work withSub Menu
    • AgriTech Innovations
    • E-commerce & Retails
    • Healthcare
    • Industrial Automation 4.0
    • Banking
    • Education
    • Transportation & logistics
    • Insurance
    • Life Sciences
    • Travel & hospitality
    • Investment Banking
    • Telecom
    • Public Sector
    • Financial Institutions
    • Supply Chain Management (SCM)
    • Business Intelligence Systems (BIS)
    • Open source & community driven
    • Marketing & Sales
  • Company
  • Insights
  • Contact
  • Join us

Card Suggestion Engine

Card Suggestion Engine

Overview

Wouldn’t it be nice if there’s a recommendation engine that suggests a card template based on the context of the given content? That’s exactly what the Content is driven Card Suggestion Engine does by enabling the collaboration of content creators and UI authors by making card templates discoverable, sharable, and reusable with minimal effort. The core of the solution is a multi-model directed knowledge graph built with the details from the card templates and the content JSONs received by the suggestion engine. When the UI author uploads the template from the studio, the suggestion engine parses the key information like attributes and context of the template and populates the graph with the context of the card and the template content as vertices and the attributes as edges connecting the context and the template. When the content creator submits the API response, the suggestion engine queries the graph and recommends the matched UI templates based on the template score matching UI and functional attributes.

Challenge

Micro UI/Card-based designs have become inevitable for modern user interface development. But in the real-world scenario, there are a few gaps in optimizing the card-based UI to make the development quicker and more flexible. Following are a few of those gaps that need to be filled.

  • Content creators, who are data providers, product owners, or API developers (not visual designers), need to learn how to design a Card to visualize the content.

  • UI authors, who are user interface designers, had to rewrite almost similar kinds of Micro UI/Cards to similar kinds of data repeatedly.

  • Front-end Application developers need to code from scratch to parse the content and bind it to the Card for every new card they want to display.

Solution

Wouldn’t it be nice if there’s a recommendation engine that suggests a card template based on the context of the given content? That’s exactly what the Content is driven Card Suggestion Engine does by enabling the collaboration of content creators and UI authors by making card templates discoverable, sharable, and reusable with minimal effort. The core of the solution is a multi-model directed knowledge graph built with the details from the card templates and the content JSONs received by the suggestion engine. When the UI author uploads the template from the studio, the suggestion engine parses the key information like attributes and context of the template and populates the graph with the context of the card and the template content as vertices and the attributes as edges connecting the context and the template. When the content creator submits the API response, the suggestion engine queries the graph and recommends the matched UI templates based on the template score matching UI and functional attributes.

Outcome

This solution increases productivity drastically for the content creator, front-end application developer, and UI author. The content creator can get a wide range of appropriate suggestions for their content.The UI author need not create a similar design for multiple contents. The front-end application developer can avoid the effort of parsing the content and associating the values in the UI. They can call a simple binding API to populate the card with the content.

Impact

40% cost reductions
UTA rework is reduced by 80% and reducing the overall cost by 40%
60% Reusable
60% of the UI has become reusable

Talk to us for more insights

What more? Your business success story is right next here. We're just a ping away. Let's get connected.

Contact Us

Quick Links

  • Featured Insights
  • Contact us

Domains

  • Financial Institutions & Insurance
  • Healthcare
  • E-commerce & Retails
  • Open source & Community driven
  • Industrial Automation 4.0
  • AgriTech Innovations
  • Public Sector
  • Education
  • Banking
  • Life Sciences
  • Transportation and logistics
  • Travel and hospitality

Services

  • Product & Platform Engineering
  • Data & Artificial Intelligence
  • Digital Engineering
  • Mobility

Company

  • About us
  • Careers
  • Privacy Policy
  • Information Security Policy
  • Reach Us

Reach Us

India
Chennai, TamilNadu
United States
Wilmington, DE
Email
info@bigthinkcode.com
Copyright © 2025 BigThinkCode Technologies.