Description
Gather AI is a Physical AI platform specifically designed for the logistics industry, aiming to unify operations across multi-facility networks. The platform provides a continuous, real-time picture of the warehouse floor, including the precise location and condition of every pallet. This comprehensive visibility extends across all facilities, ensuring that the data remains current as operations evolve, even down to the last shift.
Beyond mere visibility, Gather AI delivers operational intelligence by ranking and reasoning through priorities before a shift begins. Each task is presented with its underlying context, enabling teams to make clear decisions without extensive digging. This intelligence layer helps in understanding what needs to be acted upon and why, streamlining decision-making processes.
The platform's core functionality is built around a three-stage process: Prana, Think, and Act. Prana involves capturing data through cameras on forklifts and drones, utilizing computer vision trained to extract structured data points from imagery. This perception layer transforms raw visuals into actionable ground truth. Think is where Sage, the AI reasoning engine, analyzes the captured data alongside existing systems to surface critical actions and their root causes across inventory, labor, and fulfillment. Finally, Act translates these decisions into actionable workflows, routing tasks to the appropriate personnel within the right systems with pre-drafted task details. This closed-loop system ensures every item is tracked from capture to resolution across the entire network.
Gather AI is built for the multi-facility network, enabling consistent operational standards across all locations. A solution that proves effective in one building can be replicated across the network, creating a unified playbook. Case studies highlight significant improvements, such as 99.9% inventory accuracy at Barrett Distribution Centers, a reduction in manual counting hours from 4,400 to 800 annually at Geodis, and a 5x increase in operational productivity at NFI. These examples underscore the platform's ability to drive tangible efficiency gains and operational excellence within complex logistics environments.
Gather AI's Core Features
Physical AI for logistics
Dock-to-dock intelligence
Continuous physical visibility
Total inventory tracking
Pallet placement and condition monitoring
Real-time data updates
Ranked and reasoned operational priorities
Contextual task information
Network-wide operational consistency
Scalable operational improvements
Computer vision for data extraction
AI-driven root cause analysis
Automated workflow routing
Closed-loop capture, reasoning, and action system
How to use Gather AI?
Perceive: Deploy cameras on forklifts and drones to capture real-time imagery of inventory and movements.
Analyze: Utilize computer vision to extract structured data points from captured frames, creating ground truth.
Reason: Employ AI to analyze captured data and existing systems, identifying priorities and root causes.
Act: Route actionable tasks to the right personnel with pre-drafted details, closing the operational loop.
Gather AI's Use Cases
- Inventory Accuracy
- Operational Efficiency
- Network Standardization
- Real-time Visibility
- Task Prioritization
- Root Cause Analysis
- Workflow Automation





