A leading Australian beverage manufacturer was facing challenges meeting additional demand over seasonal summer peaks, causing DIFOT to decline and tension with strategic customers. The business was looking to understand how they could:
We supported in building a product profitability model which allocated key drivers of cost across customer, make and sales location. We approached our delivery in three phases:
1. Data cleansing and collection
Our team engaged client stakeholders across finance, supply chain, sales and procurement to build a cross functional understanding of input data to adjust raw data for business context, including:
2. Cost allocation and refinement
Reviewed and agreed on accurate cost allocation methods to build-in dynamic rules that changed raw data into structured outputs including:
3. Dashboard build and publishing
Dashboard published onto client environment, set up with permissions based on sensitivity of data
5%
Annualised uplift in gross profit
75%
Loss-making SKUs deleted, maximizing volume of high profit SKUs
2,000
Annualised hours of production capacity opened via reduction of changeovers with a simplified portfolio
Improved customer service
Significant reduction in failed orders to customers, improving service standards