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Retail Case Study: How Yuka Is Driving Consumer Health Transparency Through AI, Crowdsourced Data, and High-Performance Mobile Scanning

Publisher IDC
Published Jan 29, 2026
Length 9 Pages
SKU # IDC20818886

Description

This IDC Perspective details an IDC Retail Insights case study on how Yuka, a rapidly expanding consumer health application with 78 million users globally, has embedded advanced scanning capabilities, machine learning, and large language models into its strategic road map to transform product transparency for consumers and influence industrywide reformulation. The document highlights the company's mission-driven innovation strategy, its long-standing technology partnership with Scandit, and the business value derived from a data architecture that blends AI, crowdsourcing, and human expertise."Retail data capture is no longer a simple transactional step but a strategic enabler of transparency, operational efficiency, and consumer trust," said Ornella Urso, research director at IDC Retail Insights. "Yuka's journey illustrates how the right combination of technology, governance, and user-centric design can reshape customer experience, driven by change management."

Table of Contents

9 Pages

Executive snapshot

Key takeaways

Recommended actions

Situation overview

Project background and objectives

Solution description

Selecting the solution

Implementing the project

Business value

Next steps

AI road map evolution

Conclusion

Advice for the Technology Buyer

The current retail environment

Insights to consider

Learn More

Related research

Synopsis

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