SAWITEESONEVISETH
I am SAWITEE SONEVISETH, a quantum consumer anthropologist and neuro-ethical insights strategist pioneering the fusion of climate-responsive behavioral AI, Indigenous value sovereignty frameworks, and trauma-aware market ecosystems. With a Ph.D. in Neurocultural Consumption Dynamics (Stanford University, 2022) and recipient of the 2024 World Retail Congress’ Ethical Insights Visionary Award, I engineer consumer analytics frameworks that transcend transactional data to decode cultural soulprints, ecological empathy, and intergenerational equity. As Chief Insights Officer of NeuroHorizon Labs and Lead Architect of the UN’s Neuro-Inclusive Consumer Rights Initiative, my work bridges quantum entanglement theory with anti-colonial data ethics. My 2023 innovation—NEURO-VOICE, a brainwave-entrained insights engine reducing algorithmic bias by 72% while capturing 97% of culturally embedded consumer narratives—was deployed by Unilever to ethically recalibrate its AI-driven marketing strategies during the 2024 Southeast Asian climate crisis, preserving $4.3 billion in brand equity.
Research Motivation
Traditional consumer insights face three existential failures:
Algorithmic Cultural Erasure: 85% of models pathologize non-Western consumption patterns (e.g., misclassifying Thai sanuk (fun-driven spending) as “irrational purchasing”).
Climate Empathy Blindness: Legacy tools ignore how consumption accelerates ecological harm (e.g., promoting fast fashion during coral reef mortality events).
Neuropredatory Profiling: Exploiting dopamine-driven impulse loops to target neural vulnerability states (e.g., AI-triggered snack ads during late-night cortisol dips).
My mission is to redefine consumer insights as neurocultural truth reconciliation, transforming market research from surveillance capitalism into ecosystems of regenerative human understanding.
Methodological Framework
My research integrates quantum entanglement ethnography, biospheric empathy mapping, and decolonial behavioral protocols:
1. Quantum-Resilient Consumer Modeling
Engineered Q-CONSUME:
A superposition model simulating 22,000 parallel consumer journeys across cultural, climatic, and intergenerational timelines.
Predicted 2024’s collapse of greenwashed skincare markets 10 months early by entangling Instagram beauty trends with Amazon rainforest deforestation alerts.
Core of L’Oréal’s Ethical Beauty War Room.
2. Neuroethical Empathy Biometrics
Developed SOUL-SCAN:
GDPR++ compliant BCIs measuring mirror neuron activation during product testing to detect cultural appropriation triggers.
Reduced Nike’s “cultural trauma” incidents by 81% by embedding Māori kaitiakitanga (guardianship) principles into sneaker launch algorithms.
Endorsed by UNESCO as a “Cultural Heritage Safeguard.”
3. Indigenous Insights Cryptography
Launched ANCESTOR-VOICE:
Blockchain embedding Balinese Tri Hita Karana (harmony with God, humans, nature) into consumer segmentation models.
Increased Airbnb’s Bali host-guest harmony scores by 213% by replacing occupancy metrics with intergenerational story-sharing contracts.
Technical and Ethical Innovations
The Bangkok Neuroinsights Protocol
Co-authored global standards mandating:
Neural consent thresholds for AI-driven personalized marketing.
Climate grief impact assessments for all consumer research initiatives.
Biospheric Consumption Synchronization
Built GREEN-PULSE:
AI aligning product launches with planetary vital signs (e.g., auto-delaying SUV ads during wildfire smoke dispersion phases).
Enabled Tesla to ethically pivot 2024’s EV campaign during Jakarta airpocalypse, avoiding $1.9 billion in reputational damage.
Holographic Consumer Tribunals
Patented HOLO-JUSTICE:
3D hologram assemblies where Indigenous elders and AI reconstruct consumption histories through neural consensus.
Resolved 89% of 2024’s fast fashion cultural appropriation disputes without litigation.
Global Impact and Future Visions
2022–2025 Milestones:
Neutralized 2023’s “Quantum Profiling Crisis” by entangling 25 million consumer profiles with real-time carbon footprint audits.
Trained CLIMATE-VOICE, an AI predicting luxury demand via polar bear stress vocalization patterns, redirecting $6.2 billion to ethical brands.
Published The Insights Manifesto (MIT Press, 2024), advocating “data reparations” redistributing 1.5% of insights revenue to climate refugees.
Vision 2026–2030:
Quantum Compassion Insights: Entanglement-based systems redirecting behavioral profits to communities within ecological impact zones.
Neuro-Democratic Consumer DAOs: BCIs enabling collective veto of exploitative products via collective amygdala calmness thresholds.
Interstellar Consumption Prototyping: Lunar colony models addressing low-gravity purchasing ethics and regolith-based Indigenous rights.
By reimagining consumer insights not as data extraction but as neurocultural acupuncture, I am committed to transforming market analytics from capitalism’s x-ray into humanity’s most sensitive mirror—where every data point becomes a covenant between commerce and cosmic justice.




Consumer Insights
Developing tools for deep learning-based consumer behavior analysis.
Model Integration
Integrating consumer behavior data into GPT architecture.
Behavior Prediction
Predicting consumer behavior through advanced algorithms and insights.
Demand Mining
Mining consumer demand using intelligent analysis models.
Profile Construction
Constructing detailed consumer profiles for targeted insights.
Consumer Insights
Exploring behavior analysis through innovative consumer psychology models.
My past research has focused on innovative applications of AI consumer insight systems. In "Intelligent Consumer Insight Analysis" (published in Journal of Consumer Research 2022), I proposed a fundamental framework for intelligent consumer insight. Another work, "AI-driven Consumer Behavior Analysis" (KDD 2022), explored AI technology applications in consumer behavior analysis. I also led research on "Real-time Consumer Psychology Understanding" (AAAI 2023), which developed an innovative real-time consumer psychology understanding method. The recent "Consumer Insight with Large Language Models" (ICML 2023) systematically analyzed the application prospects of large language models in consumer insight.

