What challenges did Trigo face before AI implementation?

Traditional grocery stores required digitization to enable checkout-free shopping, demanding highly accurate real-time tracking and interpretation of complex shopper behavior. The system had to handle large-scale data processing at low latency and scale up and down dynamically according to fluctuating store traffic loads.

What was the impact of the AI solution?

The grocery shopping experience achieved high accuracy in product identification and shopper tracking, enabling truly frictionless, autonomous store visits without checkout. The solution can quickly scale up or down with store traffic, reducing costs and avoiding service blackouts during rollout phases. Trigo has successfully opened multiple stores globally with improved efficiency, with the first fully automated Trigo-powered store launched in London. The partnership with Google Cloud positions Trigo for future technical and business expansion in the retail sector.

Source

GCP

Trigo creates frictionless grocery shopping experiences using Google Cloud AI

Use case typeComputer vision checkoutUpdated Jun 13, 2026

Trigo has developed a checkout-free grocery shopping system that digitizes store operations to enable seamless, automated shopping experiences in traditional grocery stores. The solution uses AI computing and 3D modeling from hundreds of cameras to generate real-time, highly accurate 3D models of the store environment and shopper behavior, enabling shoppers to pick items and walk out without checkout. Google Cloud infrastructure components including BigQuery for large-scale data storage and analysis, and Google Kubernetes Engine (GKE) for managing autoscaling microservices provide the scalable, low-latency backend support. The implementation allows Trigo to rapidly transition stores from test to live environments while improving accuracy and operational efficiency. Trigo partners with DoiT International for implementation support and benefit from Google Cloud's global server presence for reduced data latency and reliable, scalable service to stores worldwide.

Organization: Trigo
Industry: Retail
Location: United States

Reported outcomes

Strategic outcomes

New product / capabilityEnabled checkout-free grocery shoppingSpeed & agilityScaled store operations dynamicallyMarket & geographic expansionExpanded into multiple global storesEcosystem & partnershipsStrengthened cloud and implementation partnerships

Primary read

Use case focus

Showing 2 of 2

1Computer Vision
2Autonomous Retail Checkout

Traditional grocery stores required digitization to enable checkout-free shopping, demanding highly accurate real-time tracking and interpretation of complex shopper behavior.
The system had to handle large-scale data processing at low latency and scale up and down dynamically according to fluctuating store traffic loads.

Trigo developed proprietary algorithms that analyze anonymized customer journey data from ceiling-mounted cameras to track shopper interactions continuously using AI and 3D modeling, creating a real-time virtual shopping basket model.
Google Cloud technologies were chosen for their scalability, flexibility, and ability to handle rapid data growth; specifically, BigQuery for data warehousing and analysis, and Google Kubernetes Engine for managing pods that autoscale based on store load.
The solution was implemented with support from DoiT International, ensuring rapid deployment and ongoing consultancy.
Meetings with Google Cloud AI, architecture, and machine learning experts contributed to overcoming challenges and improving system accuracy and scalability.

Technologies

BigQuery Google Kubernetes Engine 3D Modeling AI Computing

The grocery shopping experience achieved high accuracy in product identification and shopper tracking, enabling truly frictionless, autonomous store visits without checkout.
The solution can quickly scale up or down with store traffic, reducing costs and avoiding service blackouts during rollout phases.
Trigo has successfully opened multiple stores globally with improved efficiency, with the first fully automated Trigo-powered store launched in London.
The partnership with Google Cloud positions Trigo for future technical and business expansion in the retail sector.

Architecture

Uses AI and 3D modeling from ceiling-mounted cameras for real-time shopper behavior tracking; BigQuery for data storage and analysis; Google Kubernetes Engine for autoscaling microservices.

Implementation partners1

DoiT International

Sources & evidence1

Groundedness: 4/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence