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Simulating Consumer Behaviour For Demand Forecasting

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Manage episode 347631073 series 2810825
Content provided by IBF0 Eric Wilson CPF. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBF0 Eric Wilson CPF or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

01:43 Appling COVID forecasting models for business problems
03:23 We're not forecasting numbers but how consumers react to different stimuli
05:21 John Cordier, CEO of Epistemix, pushing the boundaries of predictive analytics
08:10 Modelling variables like behavior and policy that spread diseases
12:20 Most companies use only internal data which stops us from spotting changes
14:06 Testing assumptions to identify the tipping point of behavioral change before they happen
14:15 Understanding the 'why' of behavioral change
16:30 What synthetic data is
18:23 Modelling adoptions curves for diseases and consumer products is the same
19:24 Simulating the interactions between people, things and environment
21:23 Demand shaping to drive adoption of new products
22:40 Modelling shifting populations
24:58 How behavioral simulation complements what demand planners are already doing

Support the Show.

To sign up for regular updates and the latest research, events, articles, podcasts and more from the Institute of Business Forecasting & Training, visit www.ibf.org

  continue reading

89 episodes

Artwork
iconShare
 
Manage episode 347631073 series 2810825
Content provided by IBF0 Eric Wilson CPF. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBF0 Eric Wilson CPF or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

01:43 Appling COVID forecasting models for business problems
03:23 We're not forecasting numbers but how consumers react to different stimuli
05:21 John Cordier, CEO of Epistemix, pushing the boundaries of predictive analytics
08:10 Modelling variables like behavior and policy that spread diseases
12:20 Most companies use only internal data which stops us from spotting changes
14:06 Testing assumptions to identify the tipping point of behavioral change before they happen
14:15 Understanding the 'why' of behavioral change
16:30 What synthetic data is
18:23 Modelling adoptions curves for diseases and consumer products is the same
19:24 Simulating the interactions between people, things and environment
21:23 Demand shaping to drive adoption of new products
22:40 Modelling shifting populations
24:58 How behavioral simulation complements what demand planners are already doing

Support the Show.

To sign up for regular updates and the latest research, events, articles, podcasts and more from the Institute of Business Forecasting & Training, visit www.ibf.org

  continue reading

89 episodes

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