WSJ: Coronavirus Disruption Puts Supply Chain Software to the Test. Read More.
WSJ: Coronavirus Disruption Puts Supply Chain Software to the Test. Read More.
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Uncertainty. In 2020, it escalated from inconvenience to business continuity threat. Athena Supply Chain AI stands ready to help operators cut through the noise in demand and supply planning with the right mix of predictive insight and proactive risk management.
AI / Athena Supply Chain AI
01

Athena Insights

Start here. Assess the most pertinent demand, inventory and production side indicators that drive imbalances, and take targeted actions to address risks at the SKU level.

02

Demand Signal AI

Fix it at the source. Minimize bullwhip and maximize prediction accuracy with diverse AI models that analyze internal and external data through multiple lenses. Unique reconciliation model provides single forecast per product-customer.

03

Execution Control Towers

Keep planning exceptions on point. Supply Chain digital twins drive dramatically better predictions of production, inventory, and fill rate. Value-at-Risk ranked priorities make them real.

It's what's on the inside that counts

A learning model is only as good as the machine it's trained on. The Enterprise AI Platform is purpose-built for building, training, and deploying Enterprise AI® Applications quickly and efficiently.

External Data Cartridges

Complement your internal data with external data sets, curated and proven to contribute the most predictive power—weather, events, search trends, etc.

Application Trainer

Shrink the time it takes to realize value from Enterprise AI® Applications and enjoy ongoing improvements as applications continue to learn—via routine model retraining and software upgrades.

Enterprise Data Connectors

Prebuilt connectors to common enterprise data repositories shorten configuration time and make it easy to reach across your organization's data silos.

Real value in weeks

The Athena Insights application, fueled by our AI-powered analytics, is designed to deliver real value to existing supply chain data in a matter of weeks.