Making butter better with personalised sales forecasting and pricing solutions

Discover how Ballantyne streamlined sales forecasting and pricing with QMetrix to adopt rolling monthly financial planning.

Ballantyne is an Australian family owned company with an 80+ year pedigree in the manufacture and distribution of fine foods. They supply both domestic and international markets.

They operate from their historic head office at Ballantyne Street, South Melbourne, and manufacture at its purpose-built facility at Laverton, Victoria. Ballantyne’s principal activities include production of a range of packaged butter, dairy blend and margarine products, spray dried dairy products, sauces and other portion control packaged products.

A wooden board with buttered bread, sliced cheese, and a knife, surrounded by bowls of pickles, olives, onions, mustard, and a pack of salted butter showcases the delicious results of quality food manufacturing.

To support back-office manufacturing, inventory, and sales processes, Ballantyne relied on the Movex ERP (M3). However, budgeting, forecasting, and reporting were handled across multiple disconnected spreadsheets and legacy reporting tools.

Preparing sales forecasts required manual data extraction from M3 into spreadsheets, which were then emailed to sales staff for updates and reassembled manually. This process was:

  • Inflexible and time-consuming: High manual effort was required to aggregate inputs across teams.
  • Error-prone: Disjointed data increased the risk of discrepancies.
  • Lacking visibility: The pricing review process lacked standardised access to data, making it difficult to assess the true bottom-line impact of pricing decisions.

Ballantyne needed a modern Financial Planning and Analysis (FP&A) framework to close the loop between transactional ERP data and reporting, allowing their leadership team to run “what-if” scenario planning with confidence.

QMetrix implemented an integrated Financial Planning and Analysis solution designed to streamline forecasting, budgeting, and pricing workflows directly alongside Movex ERP.

Automated sales forecasting

The new system automatically extracts actual sales data from M3 and presents a pre-populated 18-month forecast by customer and product.

  • Tailored views: Each salesperson receives a personalised view containing only relevant products and customers.
  • Reduced effort: Sales reps only input month-on-month changes rather than building sheets from scratch.
  • Instant margin impact: Team members can immediately see how volume shifts impact revenue and gross margin.
  • ERP loop closed: Approved forecast data flows directly back into M3 to drive Materials Requirements Planning (MRP).

Streamlined pricing reviews

The pricing engine pulls current product prices and standard costs from M3. Account managers input proposed pricing alongside freight, insurance, and additional logistics costs. Because forecast volumes are integrated into the exact same model, management gains complete transparency into how price changes affect total margin and bottom-line profit.

By replacing manual spreadsheets with an automated FP&A process, Ballantyne achieved significant operational improvements:

  • Transitioned to rolling monthly forecasts: Moved away from rigid annual budgets to continuous rolling forecasts that align operational plans with changing market conditions.
  • Improved inventory management: Accurate forecasting reduced both the risk of stock write-offs and supply shortages.
  • Enhanced pricing transparency: Executive teams now have full visibility into pricing proposals and line-item profitability before decisions are finalised.
  • Empowered teams: Sales and finance teams save hours on manual data collation, focusing instead on strategic scenario planning.
Brett Ruwoldt

Brett Ruwoldt

CPA, GradDip (Software Development), B.Bus (Acc)

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