Case Study: Trigo achieves scalable AI-powered smart stores with DoiT International and Google Cloud

A DoiT International Case Study

Preview of the TRIGO Case Study

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

TRIGO, an AI company transforming grocery retail, faced the challenge of creating a scalable and accurate "smart store" infrastructure to enable a frictionless shopping experience. To power its system, which uses ceiling cameras and 3D modeling to track shopper activity, TRIGO needed a highly flexible and cost-effective cloud partner. They chose to work with DoiT International and Google Cloud for its robust capabilities and global presence.

By partnering with DoiT, TRIGO implemented a solution on Google Cloud using key services like BigQuery for data warehousing and Google Kubernetes Engine (GKE) for autoscaling. This allowed their system to efficiently process massive volumes of real-time data and handle fluctuating store traffic. The results included improved accuracy in tracking shopper baskets, increased system efficiency when launching new stores, and significant cost savings from an infrastructure that scales on demand.


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TRIGO

Daniel Gabay

co-founder and Chief Technology Officer


DoiT International

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