# Fortune AI

> Physical operations analytics from existing camera feeds

Fortune AI analyzes existing camera feeds and recorded video to produce shift-by-shift metrics for labor, flow, utilization, and throughput

## What Fortune AI does

- Operators describe what they want measured in plain language
- Fortune AI learns what to count from sample clips the customer's team reviews and approves
- Fortune AI runs the approved analysis on existing camera feeds every shift
- Results include supporting footage so teams can review what was counted
- Results show where time is lost, queues build, or output falls and what teams can change next
- Teams can receive results through Fortune AI Agent, reports, API, or MCP
- Common measures cover labor, flow, throughput, queues, loading, dwell, and repeated operating events

## Core capabilities

- Physical AI and video analytics for physical operations
- Camera feed data analytics for shift-by-shift operational metrics
- Forklift utilization, traffic, flow, dock dwell, and staging congestion measurement
- Warehouse labor efficiency and paid-time productivity tracking
- 3PL and distribution center analytics for dock-to-stock time, trailer dwell, staging congestion, fulfillment flow, and labor productivity
- Manufacturing line-cycle delay, production bottleneck, and repeat-exception detection

## Agent-readable formats

- [Complete website in Markdown](https://www.fortuneai.app/llms-full.txt): Full agent-readable content generated from canonical pages
- Request any canonical page with the header `Accept: text/markdown` to receive its Markdown representation

## Canonical pages

- [Home](https://www.fortuneai.app/): Product positioning and how Fortune AI works
- [Industries](https://www.fortuneai.app/industries/): Operating use cases by industry
- [Production operations](https://www.fortuneai.app/industries/production-operations/): Stage cycle time, transfer delay, work-in-process dwell, and paid-time productivity
- [Warehouse operations](https://www.fortuneai.app/industries/warehouse-operations/): Forklift utilization, staging congestion, dock dwell, and warehouse productivity
- [3PL and distribution](https://www.fortuneai.app/industries/3pl-distribution/): Dock-to-stock time, trailer dwell, staging congestion, forklift utilization, and distribution labor productivity
- [Manufacturing operations](https://www.fortuneai.app/industries/manufacturing-operations/): Line cycle delay, bottleneck recovery, work-cell flow, and repeat exceptions
- [Retail operations](https://www.fortuneai.app/industries/retail-operations/): Customer wait, open-counter utilization, service time, and staffing response
- [Care operations](https://www.fortuneai.app/industries/care-operations/): Overnight activity, response timing, handover evidence, and coverage
- [Airport operations](https://www.fortuneai.app/industries/airport-operations/): Queue growth, lane utilization, passenger wait, and service response
- [Venue operations](https://www.fortuneai.app/industries/venue-operations/): Entrance queues, checkpoint utilization, guest wait, and staffing response
- [Construction operations](https://www.fortuneai.app/industries/construction-operations/): Material movement, blocked routes, equipment wait, and repeated obstruction
- [Aquatics](https://www.fortuneai.app/industries/aquatics/): SAFE SWIM pool safety monitoring for lifeguard review
- [Blog](https://www.fortuneai.app/blog/): Field stories and practical guides for physical operations teams
- [SAFE SWIM field story](https://www.fortuneai.app/blog/safe-swim-ai-video-analytics-water-safety/): How AI video analytics supports possible distress review, pool-zone context, and a clear human response timeline
- [Getting started](https://www.fortuneai.app/work-with-us/): Inputs, validation, and implementation path
- [Request a demo](https://www.fortuneai.app/book/): Contact Fortune AI
- [Japanese home](https://www.fortuneai.app/ja/): Japanese-language product overview
- [Japanese industries](https://www.fortuneai.app/ja/industries/): Japanese-language use cases
- [Japanese getting started](https://www.fortuneai.app/ja/work-with-us/): Japanese-language implementation path
- [Japanese request a demo](https://www.fortuneai.app/ja/book/): Japanese-language contact page

- [Resources](https://www.fortuneai.app/resources/): Explore Fortune AI field stories, product FAQs, company information, and ways to contact the team about AI for physical operations

- [FAQ](https://www.fortuneai.app/faq/): Answers to common questions about Fortune AI: existing cameras, video analysis, operating metrics, sample footage, deployment, and SAFE SWIM

- [Careers](https://www.fortuneai.app/careers/): Interested in working with Fortune AI? Introduce yourself and share the work you would like to contribute to AI for physical operations

- [About](https://www.fortuneai.app/about/): Meet Fortune AI Technologies and founder Andrew Chen. We turn camera feeds and recorded video into operating metrics with supporting footage

## Entity and contact

- Company: Fortune AI Technologies
- Founder and CEO: Andrew Chen
- Website: https://www.fortuneai.app/
- United States: business@fortuneai.app · +1 (510) 837-9054
- Japan: benjamin@fortuneai.app · +81 90-2286-4559

## Content notes

- The product is an operations analyst for facilities, built around existing camera infrastructure
- Fortune AI provides real-world operational intelligence for warehouse, 3PL, distribution, logistics, and manufacturing teams
- Product-interface numbers and industry outputs shown on the site are illustrative examples based on sample footage, not customer results
- SAFE SWIM is Fortune AI's dedicated aquatics workflow for supporting lifeguard review and preserving the event and response timeline