AI case study

ReckittProduct concept testing

Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.

Published|1 month ago

Key results

Research Cost Savings
50%
Research Time Reduction
up to 65%
Prototype Need Decrease
75%

Result highlights

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The story

Context

A global consumer goods giant operates in a highly competitive sector where the speed of product market introduction is a decisive competitive factor.

Challenge

Evaluating new market ideas required time-consuming physical test series that took weeks to generate meaningful consumer insights. This slow research...

Solution
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Quotes

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The company

Global manufacturer of health, hygiene, and nutrition consumer brands.

IndustryConsumer Products
LocationSlough, Berkshire, UK
Employees10K-50K
Founded1999

The vendor

ROLE IN THIS CASE STUDY

Provides the BASES AI Screener, which uses AI-powered personas to simulate consumer behavior and accelerate product research.

IndustryProfessional Services
LocationChicago, IL, USA
Employees10K-50K
Founded1923

Use case

Reckitt's Product concept testing is part of this use case:

Data Intelligence
57 case studies(+117% YoY)
Proven impact?
LowModerateVery Strong
4.0Moderate
2.8Lowwithin Consumer Products
3.4Moderatewithin Product Engineering

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