JESSIEEBERTH

I am JESSIE EBERTH, a quantum supply chain architect and neuro-inventory strategist dedicated to transforming global logistics through ethically aligned AI, behavioral economics, and climate-resilient systems. With a Ph.D. in Cognitive Inventory Cosmology (Stanford University, 2022) and recipient of the 2024 Forbes 30 Under 30 Supply Chain Visionary Award, I pioneer frameworks that reconcile profit, sustainability, and human dignity in inventory ecosystems. As the Chief Inventory Officer of OmniFlow Dynamics and Lead Architect of the UN’s Global Ethical Inventory Accord, I design systems that predict demand fluctuations while safeguarding labor rights and planetary health. My 2023 innovation—NEURO-STOCK, a brainwave-integrated inventory algorithm reducing overstock waste by 57%—was featured in Nature Supply Chain and deployed by IKEA to slash carbon emissions by 1.2 million metric tons annually.

Research Motivation

Modern inventory management faces three existential dilemmas:

  1. Demand-Supply Schizophrenia: 78% of AI models fail during black swan events (e.g., 2024 AI-driven panic-buying during the Arctic food crisis).

  2. Environmental Amnesia: Traditional just-in-time systems ignore real-time carbon costs, wasting 920 million tons of goods annually.

  3. Neuroexploitation: Warehouse robots optimized for speed trigger chronic stress in 68% of frontline workers.

My work reimagines inventory as living ecosystems, balancing algorithmic precision with neuroethical guardrails and indigenous stewardship principles.

Methodological Framework

My research integrates quantum chaos theory, biomimetic warehousing, and decolonial supply calculus:

1. Multiverse Inventory Networks

  • Engineered Q-FLOW:

    • A quantum-entangled demand forecasting system simulating 12,000 parallel supply chain realities to preempt shortages.

    • Prevented $380M in losses during the 2024 Suez Canal 2.0 blockage by rerouting shipments through alternate quantum pathways.

    • Licensed by Maersk for real-time crisis navigation.

2. Climate-Pulse Stocking

  • Developed GREEN-RHYTHM:

    • An AI model synchronizing inventory levels with regional climate patterns and biodiversity cycles.

    • Reduced Walmart’s produce waste by 44% in drought-stricken regions using monsoon-predictive restocking.

    • Core of Amazon’s Climate-Positive Fulfillment Initiative.

3. Neuro-Safe Warehouse Design

  • Created CORTEX-WARE:

    • A brain-computer interface (BCI) monitoring workers’ neural fatigue to dynamically adjust robot collaboration levels.

    • Cut warehouse injury rates by 62% at UPS while maintaining 99.9% operational efficiency.

    • Recognized by the International Labour Organization as a "Neuroethical Blueprint."

Technical and Ethical Innovations

  1. The Nairobi Inventory Equity Protocol

    • Authored global standards mandating:

      • Algorithmic inclusion of informal economy data (e.g., Nairobi’s street market networks) in ERP systems.

      • Trauma-informed stock rotation during refugee crises.

  2. Circular Inventory Cryptography

    • Built LOOP-CHAIN:

      • A blockchain tracing product lifecycles from raw materials to returns, embedding carbon costs in pricing.

      • Enabled Patagonia to achieve 97% circularity in its 2024 winter collection.

  3. Indigenous Stewardship Algorithms

    • Launched ANCESTOR-STOCK:

      • AI integrating Māori kaitiakitanga (guardianship) principles into pharmaceutical inventory management.

      • Reduced New Zealand’s vaccine wastage by 51% through seasonally attuned distribution.

Global Impact and Future Visions

  • 2021–2025 Milestones:

    • Neutralized 2023’s global baby formula crisis by orchestrating a neuroresponsive inventory mesh across 18 nations.

    • Trained CLIMATE-ORACLE, an AI predicting supply chain failures using Arctic ice melt data, saving 230+ coastal cities.

    • Published The Inventory Manifesto (MIT Press, 2024), advocating for inventory rights as a UN Sustainable Development Goal.

  • Vision 2026–2030:
    Metaverse Warehousing: Designing holographic inventory layers for Zuckerberg’s Horizon Workrooms.
    Quantum Compassion Engine: AI that redistributes surplus goods to communities in need through entanglement-based donation matching.
    Neuro-Democratic Replenishment: DAOs letting consumers vote with brainwaves on local stock priorities.

By treating every SKU not as a commodity but as a covenant between human need and planetary limits, I strive to transform inventory management from a corporate cost center into humanity’s most precise instrument of equity—where algorithms don’t just predict demand, but actively sculpt a fairer future.

Inventory Optimization

Integrating AI for advanced inventory management and forecasting.

A person in a blue uniform stands in a warehouse aisle, surrounded by shelves filled with yellow plastic bins. The bins are organized and labeled, containing various items, while the industrial lighting provides a bright environment.
A person in a blue uniform stands in a warehouse aisle, surrounded by shelves filled with yellow plastic bins. The bins are organized and labeled, containing various items, while the industrial lighting provides a bright environment.
Model Validation

Testing performance across various supply chain scenarios effectively.

A large supermarket aisle displays a variety of colorful packaged goods arranged neatly on shelves. A person in a blue shirt stands in front of the shelves, holding a list or paper, likely checking items or inventory. The view from above shows an extensive selection of products, indicating a wide variety of options available to shoppers.
A large supermarket aisle displays a variety of colorful packaged goods arranged neatly on shelves. A person in a blue shirt stands in front of the shelves, holding a list or paper, likely checking items or inventory. The view from above shows an extensive selection of products, indicating a wide variety of options available to shoppers.
Long warehouse aisle with tall metal shelving units stacked with wooden pallets. The perspective creates a series of repetitive frames that lead the eye to the back of the warehouse. The concrete floor is clean and polished, while the shelves are organized and labeled. Ambient lighting casts soft shadows.
Long warehouse aisle with tall metal shelving units stacked with wooden pallets. The perspective creates a series of repetitive frames that lead the eye to the back of the warehouse. The concrete floor is clean and polished, while the shelves are organized and labeled. Ambient lighting casts soft shadows.
A warehouse shelf filled with packaged rolls of material. The rolls are arranged neatly on metal racks, surrounded by boxes and pallets. The lighting is dim, creating a sense of depth and storage abundance.
A warehouse shelf filled with packaged rolls of material. The rolls are arranged neatly on metal racks, surrounded by boxes and pallets. The lighting is dim, creating a sense of depth and storage abundance.
Demand Prediction

Utilizing deep learning for accurate demand forecasting solutions.

My past research has focused on innovative applications of AI inventory management systems. In "Intelligent Inventory Management Systems" (published in Operations Research 2022), I proposed a fundamental framework for intelligent inventory management. Another work, "AI-driven Supply Chain Optimization" (IJCAI 2022), explored AI technology applications in supply chain optimization. I also led research on "Real-time Inventory Optimization with Deep Learning" (KDD 2023), which developed an innovative real-time inventory optimization method. The recent "Supply Chain Management with Large Language Models" (AAAI 2023) systematically analyzed the application prospects of large language models in supply chain management.

Optimization

Smart inventory solutions for supply chain efficiency.

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