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DTSTART;VALUE=DATE:20260421
DTEND;VALUE=DATE:20260424
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CREATED:20251114T002657Z
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SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:April 21-23\, 2026\nOnline Workshop\nRegistration\n\n\nSeptember 28-30\nChicago Workshop\nLEARN MORE\n\n\nDec. 1-3\, 2026\nOnline Workshop\nRegistration\n\n\n\n\nContents\n\nWorkshop Overview\nOne-on-One Post Workshop Consulting Session\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. \nOne-on-One Post Workshop Consulting Session\nHave you ever run into a forecasting challenge and wish you had an expert you could turn to for help? Now you can! \nWorkshop attendees have the exclusive opportunity to add a personalized one-hour consulting session with one of the instructors. Take advantage of this limited offer to spend time with a forecasting expert at the significantly reduced price of $100! \nThis exclusive consulting session is your opportunity to apply what you learned in the workshop with hands-on guidance from an expert. This time is personalized to your specific needs\, whether that’s addressing specific challenges you’re facing\, working one-on-one with an instructor using your own data\, or gaining invaluable insights from a forecasting expert. \nThis session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. Feel free to include any other members of your team that may benefit from this exclusive consulting session. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nEvent-Index Models \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nForecasting with Machine Learning \nMultiple-Level Forecasting \nNew Product Forecasting \nAdditional On-Demand Presentations\nComponents of Data \nExtensions to Exponential Smoothing \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nApril 21-23\, 2026\nOnline Workshop\nRegistration\n\n\nSeptember 28-30\nChicago Workshop\nLEARN MORE\n\n\nDec. 1-3\, 2026\nOnline Workshop\nRegistration\n\n\n\n\nRegistration Fee: The registration fee is $595 USD per attendee. A Team Discount price of $495 per attendee is available to organizations registering 3 or more attendees. As a workshop attendee\, you can add a private one-hour post workshop consulting session with an instructor for an additional $100. This session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours (All times in USA ET): \nApril 21-23\, 2026: The workshop will run from 11:00 a.m. to 3:30 p.m. each day. \nJune 23-25\, 2026: The workshop will run from 11:00 a.m. to 3:30 p.m. each day. \nDecember 1-3\, 2026: The workshop will run from 11:00 a.m. to 3:30 p.m. each day. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor.  At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\n\n\n\n\n\nApril 21-23\, 2026\nOnline Workshop\nRegistration\n\n\nSeptember 28-30\nChicago Workshop\nLEARN MORE\n\n\nDec. 1-3\, 2026\nOnline Workshop\nRegistration
URL:https://dev.forecastpro.com/event/april-2026-online-workshop-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
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DTSTART;VALUE=DATE:20260514
DTEND;VALUE=DATE:20260515
DTSTAMP:20260415T172046
CREATED:20260212T145021Z
LAST-MODIFIED:20260212T145021Z
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SUMMARY:Free Webinar - Succeeding with Forecast Pro: Multivariate Modeling
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn this webinar\, we’ll discuss how to go beyond time series modeling by augmenting statistical forecasts with external information that can predict facets of future demand better than historic data alone. \nWe’ll explore what kinds of forecasting are best suited to Multivariate Modeling and how to set up your Forecast Pro project to utilize it. Topics include: \n● What is Dynamic Regression? How does it differ from time series forecasting?\n● How to assemble a regression model in Forecast Pro\n● Setting up external variables for regression analysis\n● Interpreting statistics and improving your Dynamic Regression model over time\n● External variables’ interplay with Machine Learning \nNew and experienced Forecast Pro users alike will benefit from this in depth discussion of a modeling methodology that links together multiple data sources to fine tune statistical forecasts. \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nClick Here to Register Now!
URL:https://dev.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-multivariate-modeling/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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DTSTART;VALUE=DATE:20260928
DTEND;VALUE=DATE:20261001
DTSTAMP:20260415T172046
CREATED:20260307T000308Z
LAST-MODIFIED:20260307T000308Z
UID:10000110-1790553600-1790812799@dev.forecastpro.com
SUMMARY:Chicago Business Forecasting Workshop: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:Chicago September 28-30 Workshop RegistrationContents \n\nWorkshop Overview & Highlights\nOne-on-One Post Workshop Consulting Session\nWho should attend?\nAgenda-at-a-glance\nVenue & Accommodations\nWorkshop Hours\nRegistration\nInstructors\n\n\n \nWorkshop Overview\nThis workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \n\n\nDuring the hands-on workshop sessions\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \n\n \n\nThe workshop will have various sessions on important forecasting topics: \n\nIntroduction to Forecasting\nComponents of Data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation\, dynamic regression\, and machine learning\nNew Product Forecasting methods\nForecast Accuracy and Evaluation\nLarge scale & multiple-level forecasting\nIdentifying Problems in Your Forecasting Process\n\n\n \nOne-on-One Post Workshop Consulting Session\nHave you ever run into a forecasting challenge and wish you had an expert you could turn to for help? Now you can! \nWorkshop attendees have the exclusive opportunity to add a personalized one-hour consulting session with one of the instructors for just $100. \nUse this session to apply what you learned in the workshop with expert guidance. You can discuss specific forecasting challenges\, review your own data\, or get one-on-one advice from a forecasting expert. \nTo take advantage of this offer\, simply add the 1-hour consulting session when registering for the workshop. \nThis session can be scheduled at your convenience\, but must be completed within 30 days after the conclusion of the workshop. You’re also welcome to include other members of your team.\n \n\nWho should attend?\nThis workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe workshop also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other forecasters during breaks\, lunches and at Monday evening’s cocktail reception. \nChicago September 28-30 Workshop Registration\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, September 28: 9 am – 5 pm\n\n\n\n\nIntroduction to Forecasting\n\n\nExponential Smoothing\n\n\nEvent-Index Models\n\n\nEvening Cocktail Reception\n\n\n\n\n\nTuesday\, September 29: 9 am – 5 pm\n\n\n\n\nMachine Learning\n\n\nBox Jenkins (ARIMA) Models\n\n\nDynamic Regression\n\n\nMultiple-Level Forecasting\n\n\nWorkshop 1\n\n\n\n\n\nWednesday\, September 30: 9 am – 3:30 pm\n\n\n\n\nForecast Accuracy & Evaluation\n\n\nIdentifying Problems in Your Forecasting Process\n\n\nNew Product Forecasting\n\n\nWorkshop 2\n\n\n\n\nDetailed Agenda\nMonday\, September 28\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nEvening Cocktail Reception\nA cocktail reception will be held on Monday evening\, providing the opportunity to socialize and connect with other attendees after the first day of the workshop. \nTuesday\, September 29\nForecasting With Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nBox Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nWorkshop 1\nIn this first hands-on session attendees are guided through forecasting exercises\, applying ideas discussed during the lectures. Attendees will also have time to work with their own data with the help of the instructors. \nWednesday\, September 30\nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nWorkshop 2\nIn this second hands-on session attendees will be guided through forecasting exercises\, applying ideas discussed during the lectures. Attendees will also have time to work with their own data with the help of the instructors. \n \nVenue & Accommodations\n image="http://img%20class="img-responsive aligncenter" src="https://dev.forecastpro.com/wp-content/uploads/2026/02/acool-rocket-6zciovKug3Q-unsplash-scaled.jpg" alt="" width="2560" height="1311" />"We’ve secured discounted room rates available 3 days before and 3 days after the workshop. \nThe workshop will be held at the beautiful Hilton Chicago\, in the heart of downtown. \nAttendees can reserve rooms at the special rate of $259 per night until August 28\, 2026. Reservations can be made here or by calling (877) 865-5320 and giving the call-in code BFS. \nHilton Chicago\n720S. Michigan\nChicago\, IL\, 60605\n(312) 922-4400 \n \nWorkshop Hours \nMonday\, September 28: 9 am – 5 pm\nTuesday\, September 29: 9 am – 5 pm\nWednesday\, September 30: 9 am – 3:30 pm \nContinental breakfast and lunch (including a vegetarian option) will be provided daily for attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing and networking after the first day of the workshop. \n \nRegistration\nEarly Bird Registration (May 15 Deadline): $1\,550 USD per attendee —save $400 when you sign up before May 15\, 2026. \nRegular Price (After May 15): $1\,950 USD per attendee. \nClass Size: Due to the interactive nature of the live presentations\, attendance is limited and attendees will be registered on a first-come-first-served basis. These workshops typically sell out\, so register now to secure your spot! \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made more than 30 days before the start of the workshop\, and 50% refund if cancelled 30-14 days prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \nChicago September 28-30 Workshop RegistrationWorkshop Attendees are eligible to receive a 10% discount (up to a maximum of $750 USD) on the purchase of new Forecast Pro licenses. \n  \nInstructors\n\nEric Stellwagen\nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://dev.forecastpro.com/event/chicago-business-forecasting-workshop-techniques-best-practices-application-using-forecast-pro/
LOCATION:Chicago\, IL
CATEGORIES:Forecast Pro Event
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