Optimizing the Real-time Pricing and Promotion Engine for High Throughput Transactions

Challenge:
A leading large-scale ordering system needed a high-performance real-time pricing and promotion engine capable of processing 100K+ transactions daily.
However, the existing architecture faced key issues:

  • Lack of AI-driven pricing intelligence limited real-time optimization, personalization, and decision-making. 
  • High latency in price and promotion calculations (over 50ms)
  •  Inefficient cross-service communication
  •  Limited scalability and system reliability

Need to redesign into a scalable, event-driven system with AI-assisted insights.

Solution:
Integrated AI-powered analytics and ML models for intelligent pricing, personalized promotions, and real-time optimization.
OKRUTI re-engineered the platform using a distributed microservices architecture for scalability and performance.

AI-Driven Pricing Intelligence: Implemented ML models to analyze behavior and historical data for dynamic and personalized promotions.
Backend & API Orchestration: Java and Spring Boot-based microservices for modular and scalable operations.
– Event-Driven Architecture: Apache Kafka for asynchronous, high-throughput real-time messaging.
Low Latency Caching: Redis for in-memory caching to accelerate pricing and promotion calculations.
– High-Performance Database: PostgreSQL optimized for large-scale transactional workloads.
Seamless Communication: REST APIs enabling efficient cross-service communication and real-time synchronization.
Modular Microservices: Multiple services enabling parallel processing and decision support.

Results achieved:
AI-enabled personalization improved pricing accuracy, performance, and customer engagement.

Ultra-Fast Execution: Real-time pricing and promotion completed in under 50 milliseconds.
High Scalability: Effortlessly handles 100K+ orders per day with built-in resilience and availability.
Enhanced Customer Experience: Dynamic and personalized pricing increased user engagement and satisfaction.
Improved Fault Tolerance: Decoupled architecture minimizes downtime and dependency failures.
Future-Ready Platform: The new architecture is high-performance, scalable, and future-proof, enabling faster innovation and market competitiveness.

AI-powered intelligence enabled a dynamic and self-optimizing pricing and promotion engine.
By combining microservices, real-time streaming, and AI capabilities, Okruti delivered a scalable platform supporting personalized pricing, faster decisions, and continuous optimization.

Feedback from a customer:
“Okruti’s” proficiency in microservices with real-time processing helped us redefine our pricing and promotion engine with unmatched speed and accuracy.”

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