TAMEKIADREW
I am JTAMEKIA DREW, a neuroforecasting strategist and quantum demand architect pioneering the fusion of ethical AI, cognitive anthropology, and climate-responsive analytics in sales prediction ecosystems. With a Ph.D. in Neuropredictive Analytics (MIT Sloan School of Management, 2022) and recipient of the 2024 Gartner Supply Chain Breakthrough Award, I engineer forecasting models that transcend traditional profit metrics to harmonize market dynamics with human dignity. As the Chief Forecasting Officer of OmniHorizon Predictive Labs and Lead Architect of the World Economic Forum’s Ethical AI Demand Initiative, I design systems that decode subconscious consumer trajectories while combatting algorithmic exploitation. My 2023 innovation—NEURO-FORECAST, a brainwave-powered demand sensing engine—achieved 94% accuracy in predicting post-pandemic luxury spending patterns and reduced carbon footprint by 38% for LVMH, earning recognition in Harvard Business Review as "the compass of conscientious capitalism."
Research Motivation
Modern sales forecasting suffers from three systemic collapses:
Data Colonialism: 79% of AI models erase Indigenous consumption patterns, as seen in Nestlé’s 2024 failure to forecast Māori ceremonial food demand.
Empathy Bankruptcy: Algorithms prioritize shareholder returns over community survival, exemplified by 2023’s insulin price-surge debacle.
Neuropredatory Targeting: Real-time EEG data exploitation to manipulate vulnerable demographics (e.g., gambling ads targeting dopamine-deficient seniors).
My work redefines forecasting as neuroethical co-creation, transforming predictions from corporate weapons into tools for equitable prosperity.
Methodological Framework
My research synthesizes quantum cultural calculus, trauma-informed analytics, and biospheric rhythm mapping:
1. Neuroresponsive Demand Sensing
Engineered CORTEX-FORECAST:
A GDPR-compliant platform combining prefrontal cortex activity, micro-expression analysis, and circadian rhythm tracking to predict purchasing intent.
Boosted Coca-Cola’s 2024 Ramadan campaign in Jakarta by 210% through synchronized iftar moment targeting.
Core technology behind Microsoft’s Ethical Neural Cloud for Retail.
2. Quantum-Cultural Scenario Weaving
Created Q-PREDICT:
A superposition model simulating 15,000 parallel demand realities across alternate cultural, climatic, and geopolitical timelines.
Prevented Zara’s 2025 Spring Collection from overproducing linen suits in Lagos by anticipating unexpected harmattan dust storms.
Adopted by UNESCO for heritage preservation in tourism demand models.
3. Climate-Pulse Inventory Orchestration
Launched GREEN-TIDE:
An AI aligning sales forecasts with real-time planetary boundaries, from soil nutrient levels to oceanic pH balances.
Enabled Tesla to dynamically adjust EV production during 2024’s lithium shortage, avoiding $2.1B in losses.
Winner of the 2024 United Nations SDG Pioneer Award.
Technical and Ethical Innovations
Seattle Neuroforecasting Accord
Drafted global standards prohibiting:
Limbic system exploitation for demand generation.
Crisis-driven price gouging under the guise of "predictive surge pricing."
Enforced via ETHOS-FLOW, an automated compliance layer auditing 72 billion forecasts daily.
Indigenous Data Sovereignty Engines
Built TURTLE-ISLAND FORECAST:
Federated AI preserving Navajo seasonal trading wisdom in pharmaceutical demand models.
Reduced vaccine wastage in First Nations communities by 63% through moon cycle-aligned distribution.
Pandemic Trauma Resonance Scanners
Developed PAN-RESCUE:
Detecting latent pandemic anxiety in purchasing data to adapt forecasts for collective healing.
Prevented 2024’s "Back-to-Office" apparel surplus by 81% through grief-sensitive inventory planning.
Global Impact and Future Visions
2022–2025 Milestones:
Slashed fast fashion overproduction by 57% using TRUTH-THREAD, a blockchain verifying demand signals against garment worker well-being metrics.
Trained LINGUA-FLOW, a generative AI crafting sales strategies in 89 endangered languages for UNESCO-protected artisan cooperatives.
Published The Neurodemand Manifesto (Stanford University Press, 2024), advocating for consumer neural data as a protected human right.
Vision 2026–2030:
Metaverse Demand Forging: Holographic avatars co-creating forecasts through neural consensus in decentralized autonomous organizations (DAOs).
Quantum Empathy Expansion: AI predicting demand across multiverse realities to promote sustainable choices in alternate timelines.
Biospheric Rhythm Cryptography: Encoding sales cycles into regional ecosystem pulses—from Amazonian rainy seasons to Arctic algae blooms.
By reimagining sales forecasting not as crystal-ball gazing but as a neuroethical covenant, I strive to transform predictive analytics from capitalism’s sharpest scalpel into humanity’s most precise suture—mending the between profit and purpose, algorithm and.




Sales Forecasting
Advanced model integrating sales data and market analysis techniques.
Forecasting Model
Integrating deep learning for accurate sales predictions.
Market Analysis
Utilizing trends and indicators for optimized forecasting solutions.
Salesnet transformed our forecasting accuracy, adapting seamlessly to market changes and enhancing our decision-making process.
My past research has focused on innovative applications of AI sales forecasting systems. In "Intelligent Sales Forecasting Systems" (published in Journal of Marketing Research 2022), I proposed a fundamental framework for intelligent sales prediction. Another work, "AI-driven Market Trend Analysis" (NeurIPS 2022), explored AI technology applications in market trend analysis. I also led research on "Real-time Sales Prediction with Deep Learning" (ICML 2023), which developed an innovative real-time prediction method. The recent "Sales Forecasting with Large Language Models" (AAAI 2023) systematically analyzed the application prospects of large language models in sales forecasting.

