Helping Trigo turn supermarkets into smart stores with AI and 3D modeling

Trigo's ongoing partnership with DoiT is helping it achieve the scalability and accuracy for automated grocery shopping

DoiT Cloud Intelligence™
Trigo

We rely on BigQuery's ability to store, analyze, and process significant volumes of data efficiently and quickly. This allows us to improve the accuracy, productivity, and efficiency of our system when we bring a store from testing to live.

Daniel Gabay
Co-founder and Chief Technology Officer

The Challenge

Trigo needed to create a frictionless shopping experience that could accurately track customer behavior in real-time. The challenge involved processing data from hundreds of cameras simultaneously while accounting for unpredictable shopper behavior like putting items back or swapping products. As a startup expanding globally, Trigo required scalable, cost-effective infrastructure that could handle rapid data growth and support stores across multiple regions.

The Solution

Trigo partnered with DoiT International to implement Google Cloud solutions. The company uses Google Kubernetes Engine for autoscaling microservices, Cloud Bigtable for constantly growing databases, Pub/Sub for managing fluctuating data streams, and BigQuery as the main data warehouse. This infrastructure enables 3D modeling of store ecosystems and real-time processing of shopping data from multiple global locations.

Results

  • Improved accuracy when determining what products customers place in shopping baskets
  • Efficient storage, analysis, and processing of significant data volumes with BigQuery
  • Autoscaling capabilities that adjust to fluctuating store traffic throughout the day
  • Better accuracy, productivity, and efficiency when transitioning stores from testing to live operations

Meet Trigo

Trigo was founded in 2018 by brothers Michael and Daniel Gabay to transform grocery shopping through AI-powered smart stores. The company supplies retailers with technological infrastructure that enables seamless shopping experiences where customers can shop and leave without traditional checkouts. Using proprietary algorithms and ceiling-mounted cameras, Trigo's EasyOut™ solution tracks customer journeys and automatically bills purchases through 3D modeling and AI computing.

Delivering Scalability

Trigo chose Google Cloud for its flexibility, scalability, speed, and cost-effectiveness. As the company expands globally with stores in North America, Europe, and the Middle East, Google Cloud's extensive global server presence helps reduce latency and improve data processing times. The partnership provides reliability and scalability crucial for handling rapid data growth without lags or blackouts that could affect new store rollouts.

Results and Impact

Google Cloud enabled Trigo to fine-tune accuracy and minimize cost-per-store for its seamless shopping solution. The mutable infrastructure responds to peak shopping hours with on-demand resources while scaling down during low-traffic periods. This collaboration was key to the success of the first fully automated Trigo-powered store in London, demonstrating improved productivity and efficiency in store operations.

What's Next

Trigo views its partnership with Google Cloud as strategic for future expansion. The Google Cloud team has connected Trigo with AI, architecture, and machine learning experts to help solve challenges and facilitate growth. With continued technical and business opportunities, the partnership positions Trigo to make seamless shopping a simple, everyday reality rather than science fiction.

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Story overview

Trigo

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