Streamlined pricing and more accurate forecasting reduced write-offs and saved dozens of hours per month
Dawn Meats replaced complex Excel-based processes with an integrated approach to sales planning, pricing and forecasting. The result is a shared view of planning across sales, finance and operations, along with more than 10× return on investment.
Dozens of hours saved per month
4 weeks of forecast visibility
Ireland
Meat manufacturing, processing and distribution

12,000
Brian Dunphy
Senior Project Manager – BI, Development & LMS
Dynamic pricing
Sales forecasting
Sales planning
Qlik Sense
Inphinity Forms
Problem
With revenue of €4.5 billion, Dawn Meats is one of the largest meat producers in Europe. Managing a business of this scale presented significant challenges in sales planning and pricing. Complex Excel-based processes, large files, fragmented data and manual re-entry made planning time-consuming and prone to errors. Different teams lacked a single reliable view of the numbers, making it harder to plan proactively and contributing to packaging issues and write-offs. There was also no single basis for decision-making across Ireland and the UK.
Solution
EMARK helped Dawn Meats replace fragmented processes with a structured approach to sales planning and pricing. Forecasting combines historical sales data with external factors such as weather forecasts to generate recommended forecasts for individual product lines. The commercial team can then review, adjust and approve them using its market knowledge.
Pricing is managed through a structured process that connects commercial and finance inputs with data from ERP and production systems. This has reduced manual data handling and given teams a shared view of planning.
The planning process also uses recipes, allowing the meat planning teams to see how a change in the forecast impacts requirements across the supply chain. This real-time visibility supports proactive decision-making rather than reactive management.
Before
After






What we delivered
The impact was huge. The accuracy of the data reduced write-offs and drove measurable savings. With clear four-week forecast visibility, our planning teams can make better decisions across manpower, ingredients, labeling, packaging, and raw materials.
Brian Dunphy
Senior Project Manager – BI, Development & LMS
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