Harnessing AI Predictive Analytics for Smarter Revenue Forecasting
Finance leaders are under constant pressure to deliver accurate forecasts that guide strategy and drive performance. Yet traditional methods often fall short in capturing the variability of complex revenue models.
Join SOFTRAX and OTTO-MATES for a forward-looking session that explores how AI-driven forecasting is transforming revenue operations. This webinar will demonstrate how applying predictive models to accounting data creates more accurate, actionable insights for your business.
This CPE-eligible session will give you the tools to move beyond static spreadsheets and embrace a smarter, more dynamic approach to revenue forecasting.
Learning Objectives
Understand how AI-driven models project Monthly Recurring Value (MRV) by applying growth assumptions and churn rates across product classes.
Learn how building accurate revenue forecasts using accounting data and predictive growth modeling can improve productivity.
Gain practical insights into applying 12-month forward-looking projections to support financial planning, strategy, and decision-making.
Field of Study: Information Technology
Program Level: Basic
Prerequisites: None
Advance Preparation: None
Delivery Method: Group Internet-Based
Recommended CPE Credit(s): 1
Who Should Attend: Accounting and finance professionals who manage revenue recognition processes, including forecasting and reporting.
Refunds and Cancellations: There is no fee to attend this webinar. For more information regarding refunds, concerns, and/or program cancellation policies, please contact us at www.softrax.com/contact/.
SOFTRAX is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: https://www.nasbaregistry.org/.
Please register with a company email for this webinar.