Using Downstream Data to
Improve Forecast Accuracy
December 4th, 2019
11:30 a.m. - 1:30 p.m.
Toronto, ON
Improving customer satisfaction by optimizing the Supply Chain and Supply Chain Processes is an issue shared across every industry. Digital transformation and data are at the heart of tomorrow's companies.
Whether you’re in retail, consumer goods, manufacturing or services, the challenge is to manage the planning process by aligning demand and supply with improved customer service, while still reducing inventory, waste and working capital.
Being market-oriented reduces supply chain uncertainty, leading to a more profitable value chain and improved customer satisfaction.
Join our planning experts and executives to discuss how and why companies are adopting Machine Learning combined with AI to improve demand planning and provide more accurate forecasts. Many of them replace obsolete forecasting processes with statistical, visual and demand-driven analyses, resulting in organizational and cultural change within the company, simultaneously transforming responsibilities, skills and relationships.
Agenda
| 11:30 am - 11:45 am | Reception of participants |
| 11:45 am - 11:55 am | Introduction Host Erin Thompson, Sales & Business Development Executive, CT Global Solutions Inc. |
| 11:55 am - 12:05 pm | Presentation Highlights & Context Peter Turney, CT Global Solutions, President and Co-Founder |
| 12:15 pm | Complimentary catered lunch will be provided. (View menu) |
| 12:05 pm - 12:50 pm | How SAS supports machine learning and forecasting for Business Pat Valente, SAS Institute Canada |
| 12:50 pm - 1:15 pm | Using downstream data to improve forecast accuracy Ed Katz, Principal Analytics Specialist, CT Global Solutions Inc. |
| 1:15 pm | Questions |
| 1:30 am | Conclusion of the event |
