AIIN
AI-Based Inventory Forecasting System
Overview
AIIN is an AI-powered inventory forecasting tool that predicts sales and demand using historical data. It enables businesses to optimize stock levels, reduce overstocking, and prevent stockouts by providing accurate forecasts and insights.
What We Did
Built data ingestion pipelines for importing historical sales and inventory records
Implemented ML forecasting models using Prophet and scikit-learn
Created visual dashboards for demand prediction and inventory health
Added export functionality for integration with ERP systems
Results
Reduced stockouts by up to 40% for early adopters
Helped reduce inventory holding costs by 25%
Improved demand forecast accuracy by up to 85%
Increased reorder efficiency using custom rules engine
How It Works
Automated ingestion of sales and inventory data
Time-series forecasting using ML models
Custom rules for reorder and buffer stock
Visual dashboards for inventory trends
Key Features
Forecasting by SKU, category, and region
Confidence intervals and accuracy metrics
CSV and API export for external systems
Tech Stack
frontend
React.js
backend
Node.js, Python (Pandas, Prophet, scikit-learn)
database
MongoDB
integrations
ERP via REST API
hosting
AWS (EC2, RDS, S3)
Ready to Build Something Great?
Let's discuss how we can help bring your vision to life with cutting-edge technology and expert development.