How We Help Clients
We cover technologies throughout the CPG value chain and have long-standing client relationships with upstream and downstream innovators of typical CPGs. We extract unique insights into how upstream suppliers and downstream buyers think and make decisions around personalization, which we turn into valuable advice for our CPG innovation leaders.
We design personalized solutions through technology innovation in a variety of consumer-facing industries.
We extrapolate trends upstream and downstream in the CPG supply chains to uncover the impacts of personalization on the demand for raw materials, new challenges in logistics, and end of life, ultimately advising innovation leaders on solutions that balance consumer wants with sustainability needs.
The Lux Difference
While many competitors focus on consumer insights, behaviors, and trends, we bring the technology expertise and understanding to make these insights actionable for innovation leaders by identifying scalable technologies and solutions.
Client Outcomes
Innovations in CPG are evolving even more rapidly than in any other industry, and we help innovation leaders stay current on the latest technologies and innovators developing personalized solutions.
In many cases, personalized consumer products rely on technologies not core to traditional CPGs. We help companies make informed build-or-buy decisions, develop personalized platform strategies, and point them to the most promising technologies to bring in-house.
We help innovative companies understand what personalization features science and technology can actually unlock and provide grounded advice on product and ingredient innovations for transparent consumer benefits.
Featured Case Study
Selected Topics We Cover
- Aging Technologies
- AI and IoT for Personalization
- AI-Enabled Drug Discovery
- AI-Enabled Sensors / Intelligent Sensing
- AI Framework to Identify Near-Term and Long-Term Opportunities
- AI Infrastructure
- AI in Healthcare
- Augmented and Virtual Reality
- Biosensors
- Blockchain
- Chronic Disease Management
- Computer Vision
- Data Cleaning
- Data Marketplaces
- Data Monetization
- Digital Biomarkers
- Digital Business Models
- Digital Maturity Model
- Digital Therapeutics
- Digital Transformation of Healthcare
- Digital Women’s Health
- Edge Computing
- Emerging AI Methods
- Emotional AI
- Energy Harvesting for Sensors
- Event-Driven Sensing
- Genomics
- IoT Security
- Mental Health
- Microbiome Analysis
- Neural Interfaces
- Opportunities in Wellness
- Point-of-Care Diagnostics
- Privacy Technologies
- Remote Health Monitoring
- RF Sensing
- Sleep Tech
- Telehealth
- Ultrawide Band Sensing
- Understanding the Patient Journey
- Voice Assistants
- Wearables and Smart Textiles
