Amazon AI Inventory Forecast Agent

An AI-powered demand forecasting and inventory risk management agent built for Amazon sellers to optimize stock levels and prevent costly overstocking or stock-outs.

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Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Amazon AI Inventory Forecast Agent

Inspiration

Third-party Amazon sellers often struggle with balancing stock levels across regional fulfillment centers. Overstocking leads to high long-term storage fees, while stock-outs result in missed sales opportunities and poor seller metrics. We wanted to create an intelligent AI agent that gives real-time demand forecasting and stock risk recommendations.

What it does

The Amazon AI Supply Chain & Inventory Forecast Agent predicts demand for specific products across Amazon Fulfillment Centers (FCs) using Machine Learning. It compares projected inventory against predicted demand to trigger real-time seller recommendations:

  • In-Stock / Optimal: Confirms stock levels match expected demand.
  • Overstock Risk: Warns sellers when planned shipments will incur storage fees and recommends inventory reduction.
  • Stock-out Risk: Alerts sellers to imminent stock shortages and suggests re-orders.

How we built it

  • Backend & ML Model: Trained an XGBoost Machine Learning model on historical sales, regional FC trends, and seasonal product demand data.
  • Frontend UI: Built an interactive web app using Streamlit to provide real-time parameter controls (Product selection, FC selection, Current Warehouse Stock, Planned Shipment Units).
  • Deployment: Version-controlled on GitHub and deployed live on Streamlit Community Cloud.

Challenges we faced

Fine-tuning the inventory threshold logic so the AI agent accurately calculates total projected inventory against dynamic predicted demand across different regional warehouses.

What we learned

How to integrate ML forecasting models into clean Streamlit user interfaces to deliver actionable, real-time logistics advice for e-commerce sellers.

What's next for Amazon AI Inventory Agent

  • Integrating live Amazon SP-API (Selling Partner API) feeds for real-time inventory sync.
  • Adding multi-item bulk forecasting and automated re-order triggers.

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