Case study · April 22, 2026
Kerry Dairy Ireland reduces margin of error by up to 60% using Daisy
As a leader in global dairy and nutritional technology, Kerry Dairy Ireland (KDI) manages a complex, high-volume supply chain to produce market-leading consumer brands and ingredients. With Daisy, KDI has accelerated its forecasting speed by 10x, reduced its annual forecasting margin of error by up to 60%, and has made significant savings across the commercial, operations, and logistics departments.
60%
Reduction in forecasting margin of error
10x
Faster monthly forecasting
1.2B
Liters of milk forecasted annually
Challenge
Kerry Dairy Ireland is a global leader in dairy and nutritional technology that manages a highly dynamic, large-scale supply chain. Previously, forecasting production volumes was a highly manual process managed primarily by the Supply Chain Manager, Stephen. Relying heavily on Excel spreadsheets, the team had to pull together scattered data points manually.
This reliance on manual data entry meant that updating and iterating the forecast required a significant amount of ongoing work. Additionally, the operational and commercial stakes of these forecasts were high. Because milk processing dictates everything from transportation logistics to factory staffing and global sales pipelines, an inaccurate forecast carried real business risks. If a prediction was off, it could leave processing factories under-resourced or cause the commercial team to oversell products.
Because the underlying approaches relied heavily on manual updates and intuition, fluctuations in the weekly forecast often led to frequent internal debate. Stephen frequently had to spend extra time contextualizing and explaining the numbers in daily and weekly operational meetings. KDI needed a solution that could replace this time-consuming workflow with a reliable, data-driven system to streamline supply chain planning and reduce internal friction.
“You can leave yourself too tightly resourced, or if you over-egg the forecast, you can be in a scenario where you oversell product that doesn’t actually materialize, which is a big issue. We needed something a little bit more scientific and a higher level of accuracy to basically say, ‘look, this is it,’ and get the debate out of the scenario.”
Stephen, Supply Chain Manager, Kerry Dairy Ireland
Solution
To move beyond manual, time-consuming estimations, KDI implemented Daisy to automate and execute its milk supply forecasting. Rather than simply providing a static software tool, Daisy ingested KDI’s complex, historically messy data directly from SAP and aggregated it with thousands of external data points, including real-time satellite imagery and market trends. By utilizing advanced predictive modeling to spot early shifts in supply patterns, Daisy enabled KDI to accurately forecast milk gluts months in advance without relying on gut feeling.
Replacing the fragile, static Excel spreadsheets that previously struggled to adapt to agricultural anomalies, Daisy provided an “always-on” standalone product. The system continuously ingests new variables without requiring daily maintenance or manual updates from KDI’s supply planners. Furthermore, Daisy delivered a visually appealing and intuitive dashboard that simplified complex data, allowing anyone in the company to easily interact with the forecast.
Recognizing that agricultural conditions can pivot unexpectedly, Daisy paired its predictive engine with a highly responsive, continuous partnership. Instead of leaving planners to navigate sudden weather or market shifts alone, the Daisy team actively engages with KDI to refine the model based on real-time feedback. This collaborative approach ensured the forecasting system remained agile, accurate, and perfectly tailored to Kerry Dairy Ireland’s dynamic operational needs.
Results
Up to 60% reduction in forecasting margin of error
With Daisy, KDI has seen up to a 60% reduction in forecasting margin of error. This means KDI can confidently commit to the right amount of customers and optimize factory operations, directly increasing overall revenue while reducing the risk of overselling unmaterialized products.
“I’ve gone through the whole spring without being challenged at all. There is certainly a reduction in the noise level around forecasting,” Stephen said. “Previously, you’d spend hours having meetings, trying to justify why the forecast was up, down, or sideways. We wanted to basically say, ‘look, this is it,’ and get the debate out of the scenario.”
10x improvement in forecasting speed
KDI’s forecasting process is now 10x faster, as Daisy has removed the manual work of sourcing variables, relying on intuition, and conducting tedious field research. With Daisy updating data correlations in real time, supply planners are saved from hours of manual spreadsheet iteration and can focus their time on more important, strategic planning issues.
“It is ten times faster. I’ve had more time to do the existing stuff better,” Stephen said. “Now, you log into the platform, you look at it, you make a decision, and by and large, it’s been very, very good.”
Scaling operations with full Sales and Operations Planning
Looking ahead, KDI plans to scale Daisy’s capabilities beyond forecasting to embed it fully within its sales and operations planning (S&OP) cycles. By aggregating inventory, capacity, supply forecasts, demand forecasts and margins, Daisy can execute decisions at the direct intersection of supply and demand. Daisy will be able to guide KDI on exactly what products to make and when, to optimize the full system.
“I’d love to see it completely embedded within the S&OP process,” Stephen said. “I’d like to see the whole thing automated, so that we go on a specific product run next Tuesday because it’s the right time based on the data, not just because we did it this time last year. That efficiency piece would be absolutely huge.”
Daisy's comments
Forecasting Kerry Dairy Ireland’s massive 1.2 billion-liter milk pool is a responsibility we’re incredibly proud of. The project has been rich with deep technical challenges. We’ve enjoyed working closely with their team and seeing them embrace our technology. We are continuously learning more about how to make the most accurate possible models for the dairy industry, and within KDI, the team as a whole has grown to appreciate the value of accurate forecasts. We look forward to executing our shared vision together throughout 2026 and beyond.