Enhancing Inventory Management with Predictive AI and Real-Time Insights

Predictive AI using AWS Supply Chain for Inventory Optimization

We leveraged AWS Supply Chain and configured predictive model parameters to forecast inventory needs accurately. This model leveraged historical data from various sources to predict demand, optimize stock levels, and reduce overstock and understock situations.

Data Integration and Modelling

We seamlessly connected and prepared varied data sources, cleansing and standardizing data to ensure optimal performance. This involved developing a data pipeline to extract, transform, and load data from Plex ERP System, SQL Data Warehouse, and VIP Distributor Platform Data into AWS Supply Chain.

AWS Supply Chain Configurations

We configured the AWS Supply Chain platform for precise inventory calculations, set safety stock levels, and enabled secure partner collaboration. This provided initial visibility through key metrics dashboards. We also set up inventory optimization parameters within AWS Supply Chain.

Reporting and Dashboard

We developed and refined dashboards based on client feedback, ensuring userfriendliness. Comprehensive reports were created to empower informed actions, covering key inventory metrics, demand forecasts, overstock/understock risks, costs, and order fulfilment rates.

Tech Stack

AWS Supply Chain
AWS Lambda
AWS- Database Migration Service
AWS Glue
AWS S3

Overview

The client aimed to optimize inventory levels, reduce excess stock by 20%, and achieve significant cost savings. We provided a comprehensive solution that included a unified dashboard to manage inventory, orders, and production information in real-time. This dashboard offers actionable insights for right-sized production and distribution, ensuring efficient and effective inventory management.
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