Consultants

Looking for a consultant to assist you in your forecasting endeavours? Our forecasting community comprises experts from numerous industries. Whatever your focus — from monitoring forecasts to applying programming forecasting models — simply search our list of consultants below to find the right one for your business efforts.

To be included in our consultant list, you must be a current IIF member. If you are interested, simply complete the questionnaire, and we’ll take care of the rest. If you have any questions, contact the Business Manager.

IIF Member Consultants

wdt_ID	CONSULTANT	SERVICES PROVIDED	AREAS OF EXPERTISE	INDUSTRIES	EMAIL	WEBSITE
1	Abolghasemi, Mahdi	Fee-based, Expert witness, Grant applications	Extrapolation; forecasting process; machine learning methods; performance measures; selecting forecast methods	Advertising, Automotive, Agriculture, Demand, Energy, Retail, Machine learning, Production, Sales, Supply chain	m.abolghasemi@uq.edu.au
3	Clarke, Simon		Judgmental forecasting; selecting forecasting methods; integrating, adjusting and combining forecasts; evaluating forecast methods; gaining acceptance of forecasts; monitoring forecasts; application of forecasting software; organizational aspects	Automotive, Demand, Durable goods, Fast-moving consumer goods, Health, Inventory, New products, Price/effects of, Production, Production costs, Promotions, Sales, Software, Supply chain.	simon.clarke@argonandco.com	https://www.crimsonandco.com/
4	Hyndman, Rob J.		ARIMA models; transfer function models; dynamic regression; exponential smoothing; automatic forecasting; hierarchical forecasting; forecasting software; forecast evaluation; probabilistic forecasting; nonparametric methods	Demography, Energy, Environment, Pharmaceuticals, Production, Sales	Rob.Hyndman@monash.edu	http://robjhyndman.com/
5	Küsters, Ulrich	Fee-based, Expert witness, Grant applications	Application of forecasting software; econometric modeling; evaluating forecasting methods; extrapolation, forecasting process; forecast value added; machine learning methods; monitoring forecasts; selecting forecast methods	Advertising, Consumer goods, Data analytics, Demand, Retail, Inventory, Machine learning, Market share, Sales, Software, Supply chain	ulrich.kuesters@t-online.de	https://www.ku.de/wfi/sta/lehrstuhlteam
6	Levenbach, Hans		Demand planning; eplenishment planning		hlevenbach@delphus.com	http://www.delphus.com/
8	Sanders, Nada R.		Advertising effects; automotive; conflict; demand; demographic; design of goods and services; digital transformation; durable goods; energy; engineering; fast-moving consumer goods; intelligence; inventory; market share; new products; price effect	Forecasting and inventory management, Supply chain forecasting, Forecasting change, Forecasting process improvements, Demand planning, Metrics and financials, Forecasting audit, Expert judgment, Forecasting software and IT, Decision making and forecasting	nadasanders@gmail.com	https://damore-mckim.northeastern.edu/people/nada-sanders/
9	Sigauke, Caston	Fee-based	Probabilistic forecasting; time series analysis; statistics of extremes; statistical learning; assessing uncertainty; evaluating forecasting methods; forecasting process; integrating; adjusting and combining forecasts; interpretability & explainability	Climate, Data analytics, Energy	caston.sigauke@univen.ac.za	https://caston-sigauke.owlstown.net/
10	Svetunkov, Ivan	Fee based, Grant applications	Expert in dynamic models and statistical approaches for forecasting and developing software; application of forecasting software; ARIMA; assessing uncertainty; econometric modeling; ETS; evaluating forecasting methods; exponential smoothing; extrapolation	Consumer goods, Data analytics, Demand, Retail, Medical/health, Sales, Software	i.svetunkov@lancaster.ac.uk	https://forecasting.svetunkov.ru/
11	Baker, Jeff	Fee-based	Expert opinions; forecasting process; forecast value added; gaining acceptance of forecasts; judgemental; monitoring forecasts; organizational aspects; performance measures	Consumer goods, Data analytics, Demand, Inventory, New products, Production, Sales, Supply chain	jeffbaker@librascm.com	https://librascm.com/
13	Bergmeir, Christoph	Fee-based, Expert witness, Grant applications	Application of forecasting software; evaluating forecasting methods; expert opinions; interpretability & explainability; machine learning methods, performance measures; programming forecast models; selecting forecast methods	Data analytics, Demand, Energy, Retail, Machine learning, New products, Personnel & staffing, Sales, Supply chain, Utilities	bergmeir@ugr.es	https://cbergmeir.com
15	Strobl, Rodrigo	Fee-based	Performance measures	Finance forecasting, Portfolio allocation	rodrigo@strobl.cl	https://priax.ai
16	Gopalakrishnakone, Sasheendran	Grant applications	Application of forecasting software; deep learning methods; expert opinions; machine learning methods	Data analytics, Energy, Finance, Interest rates, Macroeconomic	sgopa001@gold.ac.uk
17	Mattera, Raffaele	Fee-based, Grant applications	Application of forecasting software; econometric modeling; evaluating forecasting methods; integrating, adjusting and combining forecasts; machine learning methods; performance measures; programming forecast models; selecting forecast methods	Data analytics, Finance, Machine learning, Macroeconomic, Software, Sports	raffaele.mattera@unicampania.it	https://www.sites.google.com/view/raffaele-mattera
18	Olive, Jeff	Fee-based	Assessing uncertainty; evaluating forecasting methods; expert opinions; gaining acceptance of forecasts; interpretability & explainability; programming forecast models; rule-based forecasting; selecting forecast methods; product launch in pharma/biotech	Biotech, Data analytics, Demand, Economic, Finance, Market Share, Medical/Health, New products, Pharmaceuticals, Pricing, Supply chain	jeffolive@p3iconsulting.com	https://p3iconsulting.com/
20	Chockalingam, Mark	Fee-based [tel: 781-995-0685]	Application of forecasting software; deep learning; evaluating and selecting forecasting methods; forecasting process; forecast value added; integrating and combining forecasts; machine learning methods; programming forecast models; rule-based forecasting	Automotive,consumer goods, data analytics, demand, retail inventory, machine learning, medical/health, new products, pharmaceuticals, sales, software, supply chain, technology, telecommunications	markc@valuechainplanning.com	https://www.valuechainplanning.com
22	Moudiki, T.	Fee-based	Application of forecasting software; assessing uncertainty; evaluating forecasting methods; machine learning methods; programming forecast models; selecting forecast methods	Data analytics, Economic, Finance, Insurance, Interest rates, Machine learning, Software	thierry.moudiki@gmail.com	https://thierrymoudiki.github.io
23	Israel, David	Fee-based	Application of forecasting software; econometric modeling; evaluating forecasting methods; integrating, adjusting and combining forecasts; interpretability & explainability; machine learning methods; monitoring forecasts; performance measures	Advertising, Consumer goods, Data analytics, Demand, Economic, Retail, Finance, Inventory, Machine learning, Personnel, Staffing, Sales, Sports	david.israel24@gmail.com	https://www.linkedin.com/in/disrael24/
24	LaReau, Tiffany	Fee-based, Expert witness	Application of forecasting software; evaluating forecasting methods; expert opinions; forecasting process; gaining acceptance of forecasts; integrating, adjusting and combining forecasts; judgemental; monitoring forecasts; organizational aspects	Climate; Consumer goods; Economic; Energy; Retail; Finance; Government; Insurance; Medical, health; New products; Personnel, staffing; Telecommunications; Utilities	tiffany@humannumbers.com	http://www.HumanNumbers.com
25	Warembourg, Alexandre	Fee-based, Expert witness	Assessing uncertainty; deep learning methods; econometric modeling; evaluating forecasting methods; expert opinions forecasting process; integrating, adjusting and combining forecasts; interpretability & explainability; machine learning methods	Consumer goods, Data analytics, Demand, Economic, Retail, Inventory, Machine learning, Supply chain	alexandrewarembourg59500@gmail.com	https://alexwarembourg.github.io/
26	Cavalcante, Bruno	Fee-based	Econometric modeling; Interpretability & explainability; Machine learning methods; Programming forecast models	Data analytics, Economic, Finance, Machine learning, Macroeconomic	bruno.cavalcante@fgv.edu.br	https://www.brunocavalcante.io/
	CONSULTANT	SERVICES PROVIDED	AREAS OF EXPERTISE	INDUSTRIES	EMAIL	WEBSITE

IIF Member Consultants

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