AB InBev Case Study

Building a smart industrial campus with AI-powered governance

AB InBev deployed a unified AI video platform to improve people and vehicle access management, strengthen mixed-operation safety controls, and connect production, logistics, and compliance workflows.

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Deployment context: The solution and outcomes below describe the systems delivered for this customer project.

Core objectives

Smart campus goals implemented across personnel, operations, and safety management.

  • Intelligent management of people and vehicles entering and leaving the campus.
  • Stronger safety control for mixed operations involving employees, contractors, and visitors.
  • Risk mitigation for human-vehicle separation and forklift operating areas.
  • Maximum value from existing CCTV assets with AI-driven risk detection and warnings.
  • Improved warehousing and outbound logistics efficiency.
  • Enterprise messaging platform integration for faster approvals and operations.

Key functional modules

Representative modules from the smart-campus rollout.

Attendance and contractor access

Face recognition entry/exit records synchronized to HR systems for employees and contractor categories.

Canteen and visitor management

Dining usage records and visitor appointment/approval workflows with digital check-in controls.

Goods outbound verification

Multi-dimensional checks for materials and repaired parts, including high-value item control and reminder workflows.

Temporary vehicle registration

Integrated approval for temporary personnel and vehicles, with differentiated approval paths by vehicle type.

Finished-goods outbound AI

Camera + AI recognition verifies license plates and loaded SKUs, then cross-checks records with WMS.

CCTV unsafe behavior recognition

Real-time detection and push alerts for unsafe actions such as missing PPE, smoking, phone use, and restricted behavior.

What this experience brings to today’s platform

AB InBev’s outbound workflow connected recognized license plates and loaded SKUs to WMS records. Its safety monitoring also linked detections to alerts—practical examples of AI working within existing operations.

For a similar workflow today, explore Edge for camera-stream analysis and Hub for event operations and business-system integration.

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