Cadillac Limited
F&B
Saudi Arabia
OpsSight
AI that sees, understands, and acts.
A pioneering initiative under Techbanq’s operational intelligence division, OpsSight is transforming how large-scale F&B operators monitor, manage, and automate their physical spaces.
Cadillac Limited — known globally for its premium retail and hospitality assets — partnered with Techbanq to implement OpsSight across its flagship dining and food court destinations.
The Challenge
Cadillac wanted to elevate its food & beverage portfolio with predictive operations, AI-driven safety, and zero-latency visibility across high-footfall dining zones. Each location presented distinct challenges — queue management, cleanliness tracking, and kitchen bottlenecks — where manual oversight was inefficient and inconsistent.
OpsSight provided an intelligent layer of vision — one that analyzes, detects, and acts in milliseconds.
Our Solution
Techbanq deployed OpsSight Edge AI cameras across multiple Riyadh properties, connecting them to a cloud-based dashboard built on Google Vertex AI and Kafka event streams.
Using advanced computer vision, OpsSight identified and triggered automated workflows for:
Queue & Occupancy Monitoring — Detecting crowd density and triggering staff allocation in real-time.
Hygiene & Cleanliness Tracking — Ensuring timely table cleaning and surface sanitization compliance.
Operational Alerts — Detecting idle counters, open fridge doors, or smoke emissions and sending instant alerts.
Customer Experience Intelligence — Mapping dwell time and movement patterns across food court zones.
The results
Following deployment, OpsSight delivered measurable transformation across Cadillac’s Saudi F&B operations.
Average queue wait times dropped from 8.1 minutes to just 3.5 minutes, while hygiene compliance rose sharply from 69% to 98% through automated detection and instant task alerts. Incident response times, once averaging 22 minutes, were now resolved in under three minutes, and staff productivity improved by 24% as manual supervision was replaced by intelligent automation. The system also generated tangible financial impact, saving approximately SAR 62,000 per month in operational costs across the network.
