Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
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.
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
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
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.
See how DoiT helps cloud teams control spend
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
More customer stories
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
Claroty unlocks precise customer cost attribution with Attribute™
- 1,000+
- Customers protected worldwide
- Days
- Time to first granular cost reports
- Zero
- Disruption to operations during deployment
Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
Claroty unlocks precise customer cost attribution with Attribute™
- 1,000+
- Customers protected worldwide
- Days
- Time to first granular cost reports
- Zero
- Disruption to operations during deployment
What they say
On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.
Kyle Espinola, Head of Platform Engineering
“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Your cloud bill shouldn't be a mystery
Let us show you what ships this week.