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 solution for sales planning, pricing, and forecasting using Qlik Sense and Inphinity.

Dozens of hours saved per month

Higher forecast accuracy

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 key challenges in sales planning and pricing, which had long relied on manual work in Excel. Sales and finance teams had to laboriously share and send spreadsheets back and forth, resulting in a high risk of errors, slow processes, and ambiguous outputs.

The data needed for planning came from fragmented sources, making coordination between sales, production, and logistics divisions more difficult. Inaccurate forecasts led to product packaging issues and higher write-offs. The company therefore needed a reliable and controlled solution that would consolidate data and simplify collaboration across the entire organization.

Solution

The company replaced fragmented pricing and planning spreadsheets with Qlik Sense and Inphinity Forms. For dynamic pricing, a solution was created that draws up-to-date inputs directly from ERP and production systems. Sales forecasting is now supported by advanced analytics combining historical results, algorithmic forecasts, and external factors such as weather forecasts. The result is a solution that provides more accurate and unambiguous inputs for planning and facilitates collaboration between individual divisions.

Before

Manual sharing of Excel files across sales and finance
Slow, complex and error-prone pricing processes
Inaccurate planning data from fragmented sources
Difficult collaboration due to inconsistent data
Forecasting based on inaccurate and ambiguous data

After

Digitalized planning, forecasting and pricing processes
Faster pricing with fewer errors and hours saved
More accurate planning data across business divisions
Easier collaboration across sales, finance and operations
More accurate forecasts using algorithms and external data

What we delivered

Integration with Dawn Meats’ primary forecasting tool
Pricing workflow simplifying data entry and team collaboration
Historical and external data used for more accurate forecasting
Digitalization of pricing in one app used by sales and finance teams
Qlik Sense forecasting application replacing the spreadsheet system
Integration with ERP and production systems using multiple data sources

“Qlik and Inphinity are just tools. To work optimally, they need to be in the right hands. What I value about working with EMARK Analytics is the excellent communication and support, outstanding development expertise, as well as fast project management.”

Brian Dunphy

Senior Project Manager – BI, Development & LMS

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