How Consumer Brands Are Using AI to Build Winning Products

Learn how modern consumer brands are using AI to successfully create and reiteratively test winning new products.
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How Consumer Brands Are Using AI to Build Winning Products

Learn how modern consumer brands are using AI to successfully create and reiteratively test winning new products.
Request a Demo

This Is For You If You Are…

A Leader in Innovation or Insights
You want to improve your ideation and testing. You’d rather be a pioneer than a follower.
Constrained on Time and Budget
Your team lacks time and budget to do deep research. You feel behind on consumer trends.
Curious How AI Can Be Used For Insights Work
You feel like there is a better way to do things but you are not sure which approach to take.

It’s Getting Harder to Find Winning Product Ideas

01

Outdated Datasets

Sales data tells you the past. Not the future. Even more, reports don’t update when consumer preferences change every few months.
02

Respondent Bias

Consumers often answer survey questions with what they think you want to hear. Not what they truly believe. Insights are then skewed by biases.
03

Inactionable Data

Trial scores bunch together. This makes you have to guess both which concepts to test moving forward with and the best paths to improve your concepts.
04

Requires Too Many Resources

Traditional research is time consuming and expensive. Managing frequent proposals, revision requests, testing and most of all – waiting for results.

Authentic, Relevant Consumer Signals are Available

But since there are billions of them, you need a special lens. You can use Al to organize that data and discern what you need to do.
Access learnings in dashboards or get custom reports. AI can help you learn what trends and unmet needs are most relevant to your category, which products to create, and how they will perform.

What does AI Innovation Look like in Practice?

Let’s watch a quick demonstration that explores how you can make a winning new coffee concept in just a few minutes.
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Case Study

Creating a Top Selling Vitamin Line with AI

Challenge

Launching in a Big, Crowded Area

Vitafusion wanted to address the large vitamin segment of cognitive supplements but was concerned about its gummy-form succeeding in the space and finding the right consumer base.
Solution

30 AI-Created Concepts, Validated

The Innovation team received 30 different concept ideas generated by AI with rankings and ran a test for the top 15 concept ideas to validate their AI Scores with real consumer feedback.
Results

Best Trial Scores in Their History.

Within just six months of launch, “Brain Food” claimed the #1 spot in Nielsen’s cognition supplements segment after receiving the highest top-2 box trial scores in Vitafusion’s history. 
Case Study

Entering the New & Emerging Plant-based Category with AI

Challenge

Launching in a Big, Crowded Area

Because there are so many white space opportunities in a new category, the Innovation Team struggled to select and prioritize which attributes to advance into concept development.
Solution

15 AI-Created Concepts, Validated

The Innovation team received 15 different concept ideas generated by AI with scores and ran a test on each of them, with market leading products included, to benchmark their scores.
Results

31% Higher Purchase Interest

Not only did the brand cut their research time from 4 months to 4 weeks, the AI-Generated Concepts surveyed with consumers a remarkable 31% higher than their average idea.

AI Use Cases for New Product Development

There are a lot of general use cases floating around about AI. Here are some proven use cases for new product development and testing.

You Can Start to Use AI in Two Formats

01

Dashboard Access (DIY)

You use our powerful software to generate your own insights.
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02

Custom Reports

Receive slideshows from our research team using our AI for you.
Learn More