Webinar 8 October - 12:30 PM Predict consumer liking from the sensory and liking data you already have

Guessing which reformulation will land with consumers is expensive and slow, especially when you already have years of sensory and consumer liking data sitting unused. In this webinar, we introduce HaySense, a predictive and prescriptive modelling approach that helps you understand consumer liking before you produce or test a single new product.

Stefan Peters, Strategic Growth Enabler, and Maarten Elen, Senior Data Scientist at Haystack Consulting, will walk you through how HaySense works: how the underlying models are built from your historical sensory and liking data and validated, and how this approach helps you make faster, better informed product decisions, without replacing the value of real consumer research.

You'll learn:

• How HaySense turns your existing sensory and consumer liking data into a model that predicts liking for new or existing products
• How you can adjust sensory attribute scores and instantly see the effect on predicted consumer liking
• How HaySense can identify the sensory profile of the product with the highest expected liking
• How  this fits into your product development process: faster iteration, fewer testing rounds, and more confidence at each decision point

Whether you're exploring new ways to speed up your innovation process or want to get more value out of the data you already collect, this session will give you a clear, practical look at how HaySense fits into your existing workflow.

📅 Thursday 8th of October
🕐 12:30 PM (CET) - Only 20 to 25 minutes
💻 Microsoft Teams

Join the webinar

Registration is mandatory. Simply use the link above to register online and secure your spot. We hope to meet you then.