Thursday 13 May, 2021 | 11:30 a.m. (LKT)
Forecasting is an age-old business process – which still challenges most businesses today. To be able to consistently and accurately forecast Sales, Demand, Costs, Inventory, etc is probably the #1 priority for almost everyone.
Often, the inability to get a good forecast leads to significant business impact. Inaccurate forecasting results in over-provisioning or under-utilization of resources, over-stocking or under-stocking, which results in high wastage and costs, affecting the bottom line and the success of the business.
The goal of a good forecast is to get you enough confidence to make sound business decisions
In this webinar we discuss
- Common methods of forecasting, and why do they give inaccurate results
- How to improve forecasting accuracy
- How to incorporate very easy tools for Machine Learning & Artificial Intelligence for getting accurate and scalable forecasts
- Why is scale, granularity & agility important, and how these help in better ROI, less wastage & optimal processes
Sankha Muthu Poruthotage
CEO, Co-Founder and Chief Data Scientist
Sankha Muthu Poruthotage is the CEO, Co-Founder, and Chief Data Scientist at Linear Squared.
He is a Data Scientist by profession and has worked in Market Research, Finance, and Insurance sectors for many years in Sri Lanka and the USA.
He has a Ph.D. in Statistics from the University of Connecticut.