AWS Supply Chain

Mitigate risks and lower costs with an ML-powered supply chain application


Mitigate overstock and stock-out risks to improve customer experiences while lowering excess inventory costs.
Quickly gain visibility across your supply chain without replatforming, upfront licensing fees, or long-term commitments.
Make more informed supply chain decisions with machine learning (ML)–powered actionable insights.
More securely and easily collaborate with partners on supply plans and order commitments. Identify and mitigate material or component shortages and efficiently collect sustainability data.


AWS Supply Chain is a cloud-based application that unifies data and provides ML-powered actionable insights, built-in contextual collaboration, demand planning, supply planning, n-tier supplier visibility, and sustainability information management. AWS Supply Chain can connect to your existing enterprise resource planning (ERP) and supply chain management systems without replatforming, upfront licensing fees, or long-term commitments to improve demand forecasting, improve inventory visibility, and gain insights on inventory and lead-time risks.

AWS Supply Chain Overview

Use cases

Gather inventory and sustainability data from your supply chain and use ML to transform disparate data into a unified data lake. 

Discover AWS Supply Chain N-Tier Visibility and AWS Supply Chain Sustainability (coming soon) »

Learn more about AWS Supply Chain Data Lake »

Get ML-powered insights about potential inventory risks across your supply chain. Make more accurate supply and demand plans.

Learn more about ML-powered insights »

Review recommended actions to mitigate risks, and collaborate with your partners to agree on and implement decisions faster.

Explore recommended actions and collaboration »

Receive intelligent answers to supply chain questions and visualize the outcomes of complex scenarios and the tradeoffs between different decisions.

Discover Amazon Q in AWS Supply Chain »

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