Serverless Dynamic Pricing: PyTorch & LightGBM on AWS Lambda
A serverless AI system designed to serve optimal price points based on learned demand curve.
A machine learning system to providing an intelligence hub for mid-size online retailers. The system combines multiple microservices; The first component serves an optimal price point for a given product leveraging sales prediction that Deep Learning Network, LightGBM, and Elastic Net served. Uses PyTorch and LightGBM to estimate demand elasticity and maximize retail revenue.
Feature Lists
- HPO via Bayesian Optimization
- Multi-model failover (LightGBM, SVR, Elastic Net)
- Automated ML Lineage with DVC & Prefect
- CI/CD Integration with Snyk security gates
- Low-latency caching with ElastiCache Redis
Playground
SKUs
Sales volume
Demand curve
Results
Architected by Kuriko Iwai

Continue Your Learning
If you enjoyed this blog, these related entries will complete the picture:
Architecting Production ML: A Deep Dive into Deployment and Scalability
Data Pipeline Architecture: From Traditional DWH to Modern Lakehouse
Building an Automated CI/CD Pipeline for Serverless Machine Learning on AWS
Building a Production-Ready Data CI/CD Pipeline: Versioning, Drift Detection, and Orchestration
Building a Serverless ML Lineage: AWS Lambda, DVC, and Prefect
Related Books for Further Understanding
These books cover the wide range of theories and practices; from fundamentals to PhD level.

Linear Algebra Done Right

Foundations of Machine Learning, second edition (Adaptive Computation and Machine Learning series)

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Share What You Learned
Kuriko IWAI, "Serverless Dynamic Pricing: PyTorch & LightGBM on AWS Lambda" in ML Labs
https://kuriko-iwai.com/labs/serverless-dynamic-pricing-pytorch-lightgbm-aws
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Written by Kuriko IWAI. All images, unless otherwise noted, are by the author. All experimentations on this blog utilize synthetic or licensed data.




