AI-DrivenConsumerInsights
Inquiry & Challenge
Lumina Brands struggled to predict shifting consumer trends, leading to overproduction of unpopular lines and missed opportunities in emerging markets. Their insight cycle was 6 months behind market reality.
Outdated market research cycles (6+ months)
High inventory waste from mismatched demand
Fragmented social sentiment data across platforms
Lack of predictive tools for new product categories
Need for real-time trend identification in CPG
Strategic Objectives
Execution Modules
Execution Roadmap
Ingesting social, search, and historical sales APIs.
Fine-tuning NLP models for fashion and CPG sentiment.
Predicting a single category launch for a sub-brand.
Enterprise-wide integration for all brand managers.
Intelligence Matrix
Impact & Metrics
Entity Profiling
Lumina Brands is a global CPG powerhouse managing dozens of labels. In an era of rapid social change, their traditional market research methods were too slow to capture shifting consumer preferences, leading to inventory waste.
Strategic Vision
"To eliminate guesswork in product development by turning global social sentiment into predictive demand."
DOMS PERSPECTIVE
"Lumina Brands demonstrates how AI can replace intuition with intelligence. DOMS helps organizations look around the corner, ensuring they are always building what the world wants next."