We believe in creating a more resilient future for the food manufacturing industry

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Technology

We do this through systematic, adaptive and explainable AI

Daisy analyzes the scattered data points you might not otherwise have the time or tools to monitor, giving you actionable forecasts, production plans, and S&OP preparation.

Case study — April 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.

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Platform

We provide an intelligent planning and forecasting platform that reduces working capital and maximises profitability

Anticipate how much supply you will receive and identify exact purchasing gaps based on real-time data.

We compile the data, structure the breakdowns, and do the grunt work - so your team can execute regular processes flawlessly.

We predict sales at the SKU and account level. Reduce forecast errors and give your team the visibility they need to make confident decisions.

Anticipate how much supply you will receive and identify exact purchasing gaps based on real-time data.

We compile the data, structure the breakdowns, and do the grunt work - so your team can execute regular processes flawlessly.

We predict sales at the SKU and account level. Reduce forecast errors and give your team the visibility they need to make confident decisions.

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.

Learn more
March 15, 2026

Why we’re spending our heartbeats building Daisy

A note from co-founder Andrew Moore on a broken collarbone, a Warren Buffett book, and why the problems worth working on are the ones you have to stand in a milking parlor to understand.

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Implementation

Two ways to fix a forecast

Old world

  • Forecasting on intuition and spreadsheets
  • Intelligence lives in a few people’s heads
  • Marginal gains wiped out by volatility nobody modelled
  • Takes enormous work to find data and prepare forecasts
18–36 months

to implement, at a cost in the millions

New World

  • Real-time intelligence that is fully maintained
  • Friction-less proof that feels seamless as opposed to legacy players
  • Everything in one place
  • Still require human intuition to interact with the models
8–12 weeks

from approval to results, with training through onboarding

Start a proof of concept

See Daisy in action.

Ready to implement in 2 weeks

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Join us

Build tools
for the real world.

Daisy started on a fourth-generation
Irish dairy farm.

This shapes our team and how we think.
We understand the struggles that the industry faces and are building for an industry that actually needs us.

If you want to solve hard problems with
real-world stakes, this is the place.

See open positions