This project builds a cloud-native, AI-powered retail intelligence system that predicts product demand and recommends items to users, all using serverless AWS services and scalable MLOps practices.

It is organized into 5 clear phases to demonstrate real-world infrastructure, AI integration, and automation.

Retail businesses lose revenue due to:

Overstocking or understocking inventory

Missed cross-selling opportunities

Manual forecasting processes that can’t scale

This solution uses AWS Bedrock, Amazon Personalize, and other cloud-native tools to:

Forecast product demand based on sales patterns

Recommend relevant products to users in real-time

Maintain a scalable, automated, and secure backend

Layer Services Compute AWS Lambda, EC2 AI/ML Amazon Bedrock, Amazon Personalize Data Pipeline Amazon Kinesis Firehose, AWS Glue Storage Amazon S3 (Bronze/Silver/Gold), DynamoDB Observability Amazon CloudWatch, SNS Infrastructure AWS CDK (TypeScript)

Phase Description 01-data-ingestion Stream raw sales data using Kinesis Firehose into the S3 Bronze zone 02-data-preparation Clean and structure data using AWS Glue; output to Silver & Gold zones 03-demand-forecasting-with-bedrock Use Bedrock models on EC2 to generate daily inventory forecasts 04-product-recommendations-with-personalize Recommend items via API using Amazon Personalize 05-security-and-observability Ensuring IAM roles with least-privilege, running worklodas in private subnets, VPC endpoints, monitoring for the entire system

Each phase directory contains its own setup guide using AWS CDK and scripts. Ensure:

You have AWS credentials configured

CDK is bootstrapped in your region

Python and Node.js dependencies are installed

This project reflects the real-world needs of modern cloud systems:

Combines AI + Serverless for intelligent automation

Demonstrates MLOps best practices in a practical context

Created by Mohsin Sheikhani From Code to Cloud | AWS Cloud Engineer | AWS Community Builder | Serverless & IaC | Systems Design | Event-Driven Designs | GenAI | Agentic AI | Bedrock Agents | 3x AWS Certified

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