WSJ: Coronavirus Disruption Puts Supply Chain Software to the Test. Read More.

$14B CPG company uses Noodle.ai to tackle demand and supply volatility

AI / AI for Supply Chains
AI / Challenge

Forecasts Failing When They Are Needed Most

Facing increased volatility in their supply chain, our customer wanted better demand and supply predictions—primarily to help them improve service levels in the North American market.

Ch. 01

Further, our customer’s bias towards carrying too much inventory was impacting margins by driving up inventory holding costs, working capital and product obsolescence costs.

Athena Insights recommended that I reduce production for my product. I acted two weeks earlier than I would have with our traditional planning tool, which allowed me to eliminate planned production, and saved us $760K, all due to that single recommendation.
Integrated Planning Supply Planner
Quick action was paramount: the demand volatility at the onset of the pandemic had rendered their existing demand forecasting system so inaccurate that they had essentially turned it off.
AI / Solution

Turn the Forecasts Back On

To improve fill rate, reduce inventory holding costs, and reduce obsolescence for our customer, Noodle.ai deployed two products from the Athena Supply Chain AI Suite: Athena Insights and Execution Control Towers.

Ch. 02

Athena Insights

In May 2020, Athena Insights went live to 45 planners covering approximately 2,000 high-profile SKUs in the North American market. Designed to help companies quickly get started with supply chain AI, Athena Insights provides weekly SKU-level predictions of both orders and weeks of supply, while recommending changes to the production schedule to better match inventory with demand.

Execution Control Towers

In July 2020, we deployed Execution Control Towers, focused primarily on making shipment-level allocation and deployment recommendations. The application leverages the same AI-ready infrastructure that supports Athena Insights, while providing more robust, value-add functionality. Using sophisticated AI inference engines that have been trained on thousands of supply chain variables, the application predicts SKU/DC-level risks such as lost sales, product obsolescence, and unnecessary expedites.

AI / Results

Value at Risk

Each of Noodle.ai's risk predictions is tied to a dollar value, what we call our Value at Risk (VAR) metric. Not only does VAR enable planners to prioritize their work, it also provides managers and executives with a clearer picture of the total financial risk facing a brand, region, or business unit.

Execution Control Towers provides planners with precise, action-ready recommendations to most efficiently mitigate the risks, such as how much (and when) to increase/decrease production, how much inventory to deploy across their DCs, and when (or when not to) expedite shipments.

Ch. 03
3%
In under 2 months, we improved fill rates by 3% for targeted North American SKUs.
$16M
In the first 4 months, we reduced COGS by $16M through recommended non-production of inventory for targeted North American SKUs.

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.