Fewer surprises. Better forecasts. Less firefighting. 

Practical plays from real customers across demand, labour, maintenance, and cash flow.

Forecasting is hard—and it matters. In this customer story session, DataRobot shares what actually works in the enterprise so you can save time, boost confidence, and drive tangible business results.

In 60 minutes, you’ll learn how you can leverage AI to:

  • Right-size inventory to free trapped working capital
  • Proactively schedule labour and cut last-minute hires
  • Replace parts just-in-time, not just in case
  • Forecast cash with confidence to reduce borrowing costs

 

Who should attend:

Finance, Supply Chain, Operations, Asset/Engineering, and Data leaders looking to improve forecast accuracy, adoption, and impact.

Event details

  • Title: Why forecasting is hard—and how to improve it by a little bit with some help from AI
  • Date & time: Tuesday 9 December, 8:30am to 10:30am
  • Location: SAP Office @ Level 20, 140 Creek St, Brisbane
  • Format: 30 mins Breakfast & Registration + 60 mins Presentation + 30 mins Networking

Speakers

Fergus Dobbins
Fergus Dobbins

Regional Director, APAC, DataRobot

Eu Jin Lok
Eu Jin Lok

Customer Facing Data Scientist at DataRobot

Kevin Jones
Kevin Jones

Account Executive, DataRobot

Agenda

  • Why forecasting is hard (common challenges) – 10 min
  • Customer stories from the field – 35 min
    • Demand: Free up working capital
    • Labour: Own your schedule, reduce agency spend
    • Maintenance: Replace parts just-in-time
  • Finance: Lower borrowing costs with confidence
  • Q&A – 10 min
  • A reusable framework for your next use case – 10 min
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