Image
AI Development for Software Company
Summary

Distinct Cloud Labs collaborated with CleverCards, a Dublin-based digital payments platform, to strengthen their AI infrastructure. The scope included refining existing machine learning models, developing new ones, and embedding predictive analytics directly into their software systems to support smarter, data-driven decision-making and improve customer experience.

Business Impact
  • Smarter Decision-Making: Enhanced predictive analytics led to more informed strategic choices.

  • Higher Model Accuracy: Refined models increased forecast precision, reducing errors and uncertainty.

  • Customer Impact: AI-driven features improved user experience and satisfaction.

  • Reliable Delivery: All project milestones were completed on time with clear communication throughout.

  • Creative Problem-Solving: The team’s tailored solutions aligned perfectly with product and business goals.

Tech challenges

One of the main challenges was ensuring the models could handle large volumes of transactional data while maintaining speed and accuracy. Furthermore, aligning the predictive outputs with business KPIs required deep collaboration with CleverCards' internal stakeholders and iterative model tuning.

Timelines
1

4 Weeks

Model Refinement & Enhancement

Enhanced and optimized existing ML models for better prediction accuracy and reduced training time.

2

3 Weeks

Custom AI Feature Integration

Integrated machine learning-driven insights and real-time recommendations into the core product infrastructure.

3

2 Weeks

Predictive Analytics Dashboard

Built a visualization layer to monitor model predictions, trends, and key insights for internal decision-making.

Case Study Info

  • Industry:
    Payments Technology / Predictive Analytics
  • Stack:
    Python, Scikit-learn, XGBoost, React, AWS Lambda, Node.js, PostgreSQL, REST APIs

Highlights

  • Improved accuracy in predictive analytics
  • Enhanced customer satisfaction through smarter features
Case Study

See More Case Studies.

Customer behavior analysis to increase online purchase rates

Analyzing customer behavior on the web pages, predicting and preventing revenue losses.

Virtual Girlfriend

Talk to her and stop being lonely.

Bookstore's Knowledge and Memories Assistant

Multilevel hierarchical knowledge and memories are built with LangChain.