Event Speakers
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Wes Womer
Wes Womer
Wabash National

Senior Finance Manager
Wes started his career as a Finance Analyst at Johnson & Johnson and Body Shop of America before moving into a Financial Planning role at Stanley Black and Decker. After being exposed to the S&OP process, his introduction to demand panning had begun and he would spend the next 5 years as Stanley Black and Decker’s S&OP/Sales Forecasting Manager. Wes is now Senior Finance Manager, Pricing Market and Analytics, at Wabash National, where he employs cutting edge machine learning and predictive analytics to drive forecasts and business insight. He holds a Law Degree from Indiana University, an Accounting degree from Butler University, a Master’s in law from The University of Alabama, and a Master of Science, Data Science, from India University.
Mohamed Diaa Wahba
Mohamed Diaa Wahba
EzzSteel Egypt

Reliability Manager
Mohamed has over 12 years of highly diversified experience in the heavy industries. He has held a variety of roles across operations, project management, and predictive analytics at EzzSteel, the largest independent steel producer in the Middle East and North Africa. He is currently responsible for improving asset reliability using predictive technologies. His background includes many years in different manufacturing environments which has provided him with a solid platform to create new analytics-based solutions. Mohamed holds a post-graduate degree in Mechatronics and has a growing knowledge of using machine learning to solve business problems. He is CPIM, CMRP, LSSGB certified and is currently learning Python programming to develop predictive analytics models.
Veronica Vasyukova
Veronica Vasyukova

Head of Planning
Veronika has extensive professional experience in planning and S&OP in both online and brick and mortar, having working for FMCG, manufacturing and e-Commerce companies. She worked for Unilever for 11 years in a variety of roles in demand & supply planning across Russia, Ukraine and Belarus. In 2017, she made a change and moved into eCommerce, heading the planning function for the online marketplace Beru! and obtained unique experience in building e-Commerce S&OP from scratch. Veronika continues in this role, developing the planning function and S&OP. Veronika is a member of the Institute of Business Forecasting & Planning, IBF and is ASCM certified.
Jean Noel Thibault
Jean Noel Thibault
Electrolux Europe

Digital Transformation Director
John Solomon
John Solomon
PECO Pallet

Director, Transformation & Analytics
In his role as Director of Transformation & Analytics at PECO Pallet, John has effectively led both organizational and analytical transformations. He is passionate about continuous learning and sharing his knowledge in analytics, lean problem solving, and supply chain. His most recent key experiences are in technology design and implementation to increase operational efficiencies through behavior changes. John holds a degree in Materials Engineering from Iowa State University and prior to PECO worked at Caterpillar and XPO Logistics. He has held diverse leadership positions in analytics, Lean/6 Sigma, Materials R&D, warehousing, and project management.
Dr. Stanislaw Schmal
Dr. Stanislaw Schmal
Lufthansa Industry Solutions BS GmbH

Data Analytics & Strategy Lead
Stan is data native who started his career in startup consulting, working with many data visionaries in early stage companies. In 2015, Stan joined Lufthansa Industry Solutions as senior data scientist for business analytics. He consults airlines and transportation companies on bridging the gap between data analyzing and generating value for the business. As project owner, Stan and his team launched several analytics applications to automate processes and increase customer success. In 2018, Stan joined the Lufthansa Industry Solutions BS GmbH US Branch to drive digitization and automation for North America-based firms. He hold a degree in Economics, A Master’s in Finance, A Master’s in Economics, a PhD in Business, Management and Marketing, and a PhD in Corporate Finance and Strategic Management.
Thomas Schleicher
Thomas Schleicher
National Consumer Panel (a joint venture of Nielsen/IRI)

Vice President, Measurement/Data Analytics
Thomas has led the Measurement/Data Science team at National Consumer Panel (NCP) for 9 years. Prior to his tenure at NCP, Thomas held a variety of positions with client-side manufacturers as well as smaller consulting companies. These included two stints at Bayer HealthCare where he focused on pharmaceutical market research and forecasting. He also worked at Ipsos-ASI and smaller consulting companies with an emphasis on marketing analytics and forecasting. He has also been a lecturer/adjunct professor, most recently having taught courses on social research methods, statistics and social behavior at Quinnipiac University. After earning his PhD in Experimental Social Psychology from the University of Wisconsin-Milwaukee, Thomas continued his life-long learning quest by earning a certificate in Predictive Analytics from the University of California-Irvine.
Bastien Murzeau
Bastien Murzeau

Dr. Rajesh Devasia
Dr. Rajesh Devasia
Course5 Intelligence

Director – Applied Artificial Intelligence
Rajesh has over 18 years of experience in analytics, management consulting and market research having worked with Nielsen, TCS, and Mahindra Group across key markets including India, USA and UAE. Rajesh is an subject matter expert in Business Intelligence and Advanced Analytics with extensive experience in end to end implementation of projects for global clients in Industrial manufacturing, consumer packaged goods, heavy equipment, telecoms, BFSI, e-Commerce, education, travel, and jewelry. He was recently recognized as top “40 Under 40 Data Scientists” in India at the Machine Learning Developers Summit 2020 for his contribution to data science. Rajesh holds an MBA degree in Marketing and a postgraduate diploma in Applied Statistics with Software from Mumbai University along with a PhD in Retail Management.
Tina Burke
Tina Burke
Intel Corporation

Analytics, Modeling & Reporting Lead
Tina is a Senior Demand Planning Analyst at Intel Corporation. Her professional experience is interwoven among operations & supply chain, as well as information technology. Her career has seen her work for a range of global multinationals including Boston Scientific, Nestlé, Citrix Sytems and Google, covering a variety of roles including master scheduler, demand planner and S&OP manager and assuming responsibility for the monthly S&OP process, statistical forecasting, production scheduling and more. A data aficionado, she taught herself SQL to pull reports and build analytics to improve decision making. Tina is an APICS Certified Supply Chain Professional, holds an undergrad degree in Finance and Operations, and a Master’s in Business Management.
Joseph Eschenbrenner, ACPF
Joseph Eschenbrenner, ACPF

Director of Demand & Supply Planning
Joe Eschenbrenner serves as Director of Demand Planning for Puma North America. Joe's current responsibilities are focused in multiple areas, driving "Speed to Market" and "Holistic Operational Efficiency". He manages Demand and Supply Planning, Merchandising Operations, and Sales Allocations. Prior to joining Puma, Joe was the Global Manager of Demand Planning for the Timken Company which serves diverse industries including Automotive, Heavy Truck, Off Highway, Rail, Wind Energy, Heavy Industries, Power Transmission, Industrial Distribution and Automotive Market. Joe holds an MBA and Master's Degree in Finance from Rensselaer Polytechnic Institute (RPI) as well as a B.A. in Mathematics and Statistics from the University of Connecticut. Joe is a past President of the Automotive Market Research Council and has achieved IBF's Advanced Certified Professional Forecaster (ACPF) designation.
Jonathon Karelse
Jonathon Karelse
NorthFind Management

Jonathon’s professional career has consisted of leadership roles in transportation, finance and health products, beginning in supply chain and demand planning roles and culminating in a vice president position in strategic planning and corporate development. He is a recognized thought leader in demand planning and is CEO of the S&OP consultancy NorthFind Management. Jonathon has been a long-term contributor to the IBF’s body of knowledge, with a specific focus on forecasting metrics and diagnostics and forecast value-add. He studied economics at the University of Western Ontario before moving to Vancouver to study law at the University of British Columbia. Jonathon went on to study operations and value chain management at the MIT Sloan School of Management.
John Piechule, CPF
John Piechule, CPF
Arkema Inc.

Senior Manager, Supply Chain
Mr. Piechule is Senior Manager, Supply Chain at Arkema Inc.’s Sartomer Business Unit headquartered in Exton, PA. Sartomer is a producer of high quality specialty chemicals. At Sartomer he is responsible for supply chain process optimization, sharing best practices within the Sartomer organization and other Arkema business units. He is experienced in demand management, production planning/scheduling, inventory management, quality assurance and quality control. Prior to working at Sartomer he spent significant time in the aerospace and heavy industry business sectors. Mr. Piechule currently holds the APICS CSCP and CPIM and the IBF CPF certifications. He received his MBA and undergraduate degrees at Widener University in Chester PA.
Eric Wilson, CPF
Eric Wilson, CPF
Institute of Business Forecasting & Planning

Director – Thought Leadership
Eric is a predictive analytics and business planning innovator, author, and speaker. He is the Director of Thought Leadership at the IBF. Prior to this he worked as the Director of Demand Planning at Escalade Sports, Director of Demand Planning at Berry Plastics, and Director of Demand Planning & S&OP at Tempur Sealy International. In 2016, he received the Excellence in Business Forecasting & Planning award from the IBF. He is an IBF Certified Professional Forecaster (CPF) with over 20 years of experience. Eric is a visionary in his field, a frequent speaker and panelist for many executive forums and professional conferences, and has written numerous articles in publications such as The Journal of Business Forecasting and APICS Magazine. He is also the author of the books Cultural Cycles and Predictive Analytics for Business Forecasting & Planning.
Gildas Bah
Gildas Bah
Harvard Business School Online

Data Scientist
Gildas Bah is a Data Scientist with 15 years of experience in data analysis, machine learning and artificial intelligence. He is currently working on the Data Management team at Harvard Business School Online. His current projects include student enrollment forecasting using Deep Learning, Natural Language Processing and Text Analytics to develop composite metrics for measuring student engagement. Recent projects included the development of quantitative and visual computation graphs for explaining multiple stages and concurrent A/B Testing results. Gildas has a passion for sharing his expertise with others to help advance their careers and improving data science methodologies. He holds an MBA and a Master's Degree in Actuarial Science.
Amir Kalantari
Amir Kalantari

Product Manager, Demand Forecasting Solutions
Audrey McClain
Audrey McClain

Sr. Forecast and Replenishment Analyst
Audrey McClain currently works as a Sr. Forecast and Replenishment Analyst for Harry's. Her key experiences include CPFR, sales and operations forecasting, new product forecasting, data analytics, and master data management. She holds a BSc in International Business and Supply Chain Management from the University of Arkansas. Audrey is passionate about affecting change through supply chain optimization and currently focuses on supply chain and forecast optimization in the consumer packaged goods industry.
Simon Clarke
Simon Clarke
Crimson & Co

Michael Gilliland
Michael Gilliland
SAS Institute

Product Marketing Manager
Michael Gilliland is author of The Business Forecasting Deal, and currently Product Marketing Manager for SAS forecasting software. He worked in consumer products forecasting for over fifteen years in the food, electronics, and apparel industries, and as a consultant. Mike holds a BA in Philosophy from Michigan State University, and Master's degrees in Philosophy and Mathematical Sciences from Johns Hopkins University. He has published in Journal of Business Forecasting, Supply Chain Management Review, Foresight: The International Journal of Applied Forecasting, Analytics, and APICS Magazine, and wrote a quarterly column on "Worst Practices" for Supply Chain Forecasting Digest.
Charles Chase, CPF
Charles Chase, CPF
SAS Institute

Executive Industry Consultant

Mr. Chase is an author, thought leader and trusted advisor delivering demand planning and forecasting solutions to improve consumer packaged goods companies supply chain efficiencies. Prior to that, he worked for various companies, including the Mennen Company, Johnson & Johnson, Consumer Products Inc., Reckitt Benckiser PLC, Polaroid Corporation, Coca Cola, Wyeth-Ayerst Pharmaceuticals, and Heineken USA. He has more than 20 years of experience in the consumer packaged goods industry, and is an expert in sales forecasting, market response modeling, econometrics, and supply chain management. He is the author of several books, including Next Generation Demand Management: People, Process, Analytics, and Technology and Demand-Driven Forecasting: A Structured Approach to Forecasting. In addition, he is co-author of Bricks Matter: The Role of Supply Chains in Building Market-Driven Differentiation. He is also the second recipient of the IBF Lifetime Achievement Award.

Deepak Jose
Deepak Jose
Mars Inc.

Global Director, Demand Analytics
Deepak Jose is a digital transformation and commercial strategy professional and is currently the Head of Business Strategy and Advanced Analytics at Mars. He leads analytics transformation programs for Pet Care, Mars Wrigley, Food, and Multi Sales segments to drive profitable growth for Mars and its customers. He leads a global team of data scientists and business translators driving digital transformations. Prior to Mars, Deepak worked for Coca-Cola, ABB, and Mu Sigma. He holds an MBA from George Washington University School of Business and a degree in Mechanical Engineering from NIT in Calicut, India. He is also an Executive Data Council member at BCI Summit-based out of New York, and co-author of the international bestselling book, Leading through Pandemic - Unconventional Wisdom from Heartfelt Leaders.
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    Why Attend

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    Pre-Conference Workshop

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    About Us

This event was originally scheduled for April 28-30, 2020.

Due to precautionary measures taken in response to Covid-19, we are rescheduling it for late July 2020.

We will update this page with the exact date once confirmed.

Reserve Your Space Without Obligation

This event was very informative and there were great ideas presented that I will be using to improve our forecasting process.
Barbara Thomas, Demand Planning Manager, Ecolab, Inc.

IBF’s 5th Annual Predictive Business Analytics, Forecasting & Planning Conference is a comprehensive program covering everything about predicting the future using new sources of data, methods, tools, talent management approaches, and more to become confident with our decision making and business plans.

Why YOU should Attend:

  • Understand how to create a data driven culture in your organization and win
  • Learn how to turn Big Data into valuable insights for better operations planning
  • Learn how to apply predictive analytics to the S&OP process for maximum impact
  • Learn how to use social media, point-of-sale (POS), syndicated data, and other attributes to predict sales
  • Gain knowledge on emerging technology tools for predictive analytics & business forecasting that are making organizations more profitable
  • Learn how to optimize inventory and customer service through improved business analytics
  • See the significant financial benefits that can result from improving the analytics capabilities within your organization
  • Learn how to mitigate risk through predictive analytics
  • And much more
Event Speakers
Show all Speakers
Wes Womer
Wabash National
Senior Finance Manager
Mohamed Diaa Wahba
EzzSteel Egypt
Reliability Manager
Veronica Vasyukova
Head of Planning
Conference Schedule
Download Schedule (PDF, ~2mb)
  • Pre-Conference Workshop
    Apr 28, 2020
  • Conference Day 1
    Apr 29, 2020
  • Conference Day 2
    Apr 30, 2020
April 28, IBF Members Only
12:30 PM - 1:30 PM
Pre-Conference Workshop Registration
1:30 PM - 4:30 PM
Hands-On Data Science & Predictive Analytics - 1/2 Day Workshop

This workshop will provide practical tips to incorporate into your own organization, where you’ll learn to leverage the cutting-edge of analytics technology. We will focus on data science applications for forecasting and best practices using Python. Recent advances in forecasting, often called Predictive Analytics techniques, involve the use of Big Data, including analysis of textual data like that created by social media (Facebook etc.). In this workshop, you will fully develop and script your own analytics solutions while simultaneously learning Python and its capabilities. This ½ day masterclass will be especially helpful for demand planners and forecasters looking to implement the latest advancements and next-level techniques.

I. Introduction

II. Software Overview

  • Popular Data Science tools
  • Python 101

III. Environment

  • Reading and summarizing data
  • Merging data objects
  • Feature engineering
  • Installing and initiating packages

IV. Data Cleansing & Preparation

  • Feature Scaling
  • Univariate vs Multivariate Outlier Detection
  • DBSCAN clustering, anomaly extraction

V. Machine Learning Module 1 – Regression

  • Machine Learning Defined
  • Comparison to Statistical Methods
  • Artificial Neural Networks

VI. Model Optimization

  • K-Fold Cross Validation
  • Parameter Selection
  • Assessing model accuracy, stability
  • Combining models to improve accuracy

VII. Machine Learning Module 2 – Classification

  • Overview of Ensemble Modeling
  • Random Forest Trees

VIII. Machine Learning Module 3 – Advanced Topics

  • Gradient Boosted Trees
  • Explaining model behavior
  • Extended R Programming

IX. Data Visualization

  • Plotting Basics
  • Advanced Graphics

X. Topics of Exploration & Closing

5:00 PM - 7:00 PM
Early Conference Registration
Onsite Rate
(Expires in 0 days 0 hours)

Member’s discount: -$100

APRIL 29-30, 2020
APRIL 29, 2020
APRIL 28, 2020 (IBF Members ONLY)
  • Pomerol/Qlik
Put the IBF to Work for You!

Become an IBF Member and Start Improving Your Forecasting & Planning Performance Today.

The IBF Advantage:

IBF members include well-known company professionals that span a broad array of business sectors. By joining our organization, you can make certain that your company sets up the right forecasting & planning process and uses the best techniques available. Moreover, you can be sure that your forecasting and demand planning staff has the proper knowledge and skill set for success.

As an IBF member you receive:

  • A subscription to the Journal of Business Forecasting, which is primarily written by and geared toward practitioners.
  • Our Research Reports which include valuable benchmarking information and provide you with eye opening information on various topics in Business Forecasting and Planning.
  • Special discounts on our Conferences, Workshops, Training Seminars, Certification Program, as well as on any new products and services we will offer in the future.
  • Access to Journal of Business Forecasting Past Articles (FREE)Access to our growing online Knowledge section & Action Templates
  • Complimentary 1-day Tutorials at select Global events ($1000 USD Value)
Upcoming Events & Trainings
February 16-18, 2022
Scottsdale, Arizona USA
w/ 1-Day Supply Chain Planning Workshop...
Event Location
Harrah's Hotel
Poydras St, 228, New Orleans, Louisiana, USA
IBF Sleeping Room Special Rate: $219 (USD)/ night + tax
Group code: S05IBF9
Reservations: +1-877-466-7847

*Harrah's will assess a $15 fee for all reservations made via the telephone call center. This fee will not apply to reservations made via the internet.
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