Dawn Meats

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

Voice of the customer

Brian Dunphy

Senior Project Manager – BI, Development & LMS

Use cases

Dynamic pricing

Sales forecasting

Sales planning

Technologies used

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

Sales forecasting relied on complex spreadsheets
Pricing required repeated Excel exchanges between teams
Planning data came from fragmented sources
Key data had to be manually re-entered into factory systems
Teams lacked one reliable view of the forecast
Limited forecast visibility made planning more reactive

After

Sales forecasting runs through a structured, data-driven process
Pricing and production evaluation follow one guided workflow
Manual re-entry of data was removed from the process
Commercial, finance and operations share one forecast
Four weeks of forecast visibility support more proactive planning
Forecast data supports proactive production planning

What we delivered

Integration of data from ERP and production systems
Structured pricing and production evaluation process
Four weeks of forecast visibility for proactive planning
One shared forecast across commercial, finance and operations
Connecting forecasts with recipes and supply chain requirements
Automated forecasting based on historical sales and external data

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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