This is a high-fidelity synthetic dataset representing a Tier-3 End Unit (Forward Operating Base) operating under continuous stress and operational surges. It is designed to bridge the gap between "clean" academic datasets and the messy reality of edge-node logistics.

This 5,000-hour sample is a subset of the AI Mind Teams 50,000-Hour Premium Suite, engineered to stress-test Reinforcement Learning (RL) agents and forecasting models.

Key Features

0.0 Mathematical Drift: Verified flow conservation physics: $I_t = \max(0, I_{t-1} + R_t - D_t)$.
Route Severance Physics: Dynamic lead-time spikes (24h to 150h+).
Stochastic Demand: Poisson-distributed consumption with periodic operational surges.
Transit Pipeline Queue: Real-time tracking of orders in the "void."

Data Dictionary

Column Name	Description
Current_Inventory_Pallets	Net physical inventory at the start of the hour.
Inbound_Transit_Pallets	Pipeline Arrival: Total supply physically arriving this hour.
Lead_Time_hrs	Current expected transit time for newly placed orders.
Stochastic_Demand	End-user consumption for the hour.
Holding_Cost_USD	$2.50 per pallet per hour.
Stockout_Penalty_USD	$1,000.00 per pallet shortfall.

Licensing & Commercial Use

This 5,000-hour sample is provided under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) license. It is intended for academic research and non-commercial exploration.

Upgrade to the Full Suite (Commercial Ready)

For commercial research, interactive RL training, and full-scale benchmarking, the AI Mind Teams Enterprise Suite includes:

50,000-Hour Full Dataset (No Sampling Noise).
Interactive Farama Gymnasium Environment (Plug-and-play RL training).
Pre-tuned PPO & (s, S) Baseline Scripts.
Full Commercial Usage License.

Get the Professional/Enterprise Suite on Gumroad

Contact: aimindteams@gmail.com

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