CB4 Boosts ML Performance 30%

DoiT helped the retail AI provider build an automated Google Cloud data pipeline on Composer and migrate to N2 compute for faster, more cost-efficient scaling.

Meet CB4

CB4 helps brick-and-mortar retailers grow sales by making the in-store experience easier for store teams and shoppers. The company uses machine learning to help store teams make quick fixes like taking products out of backstock or ordering more units to gain new sales and satisfy shoppers. CB4's solution sends stores a list of recommendations for SKUs they can sell much more of, with each store's unique selling patterns and operational conditions determining which products are recommended.

The Challenge

CB4 lacked a robust central data pipeline and used different custom scripts for each client, limiting growth. The team needed to move large amounts of data quickly while ensuring security and GDPR compliance. Growing cloud spend across multiple regions required better tracking and optimization to identify budget issues.

The Solution

CB4 leveraged Google Cloud Composer with Apache Airflow to create a scalable, automated data pipeline for all customers. They used Google Compute Engine for ML model hosting and implemented DoiT's Cloud Management Platform for cost analysis and prediction. DoiT provided hands-on support for implementation and migration to N2 machine types.

Results

Achieved 30% performance increase in machine learning operations
Built fully automated data pipeline scalable for all customers
Improved cost visibility and tracking across multiple regions
Enhanced data security and GDPR compliance capabilities

To master technology, you really have to learn its basics first, and learning from experience is usually the best. As our go-to partner for all things Google Cloud, DoiT International provides that experience, helping us save time, while making it easier to explore and implement new technologies.
Rafi Rainshtein, Vice President of R&D and General Manager Israel, CB4

Building a secure and flexible data pipeline

In 2019, CB4 lacked a robust central data pipeline and used different custom scripts for each client, limiting growth during expansion. The team leveraged Google Cloud Composer with Apache Airflow to create a scalable, automated data pipeline that works for all customers. The new system ensures data security and GDPR compliance by applying parameters and geo-managing data to keep EU data in the EU. DoiT International provided crucial support during the difficult implementation process.

Optimizing cloud spend

As heavy users of Google Compute Engine across different regions, CB4 faced growing cloud costs and needed better tracking and optimization. Without transparency, the team couldn't identify budget issues, wasting money when something went wrong in the stack. CB4 implemented DoiT's Cloud Management Platform to analyze and predict cloud costs, balancing company growth with cost-efficiency and enabling quick identification and resolution of issues.

Performance breakthrough

DoiT International helped CB4 migrate from N1 to N2 machine types within Google Compute Engine, resulting in a measurable 30% performance increase in machine learning operations. With the streamlined data pipeline, improved ML performance, and better cost visibility, CB4 is ready to scale their AI-powered retail revolution globally. The team can easily integrate new retailers and ensure high availability during peak times and scaling periods.

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What they say

What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

Chiamaka Ibeme, Engineering Manager, Platform

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.

Ian Fahey, Senior Analytics Engineer at Loop

You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can

Diana Koshy, Sr. Director of Data Engineering at Kargo

SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.

Devin McGee, Data Engineering Lead at Home Chef

SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform

Blake Baggett, Head of Data Operations at Entain

One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.

Michael Revelo, Manager of data and analytics engineering at ClickUp

Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.

Skyler Chi, SVP, GTM Productivity & Excellence at Exiger

Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.

Edward Mancey, GTM Lead at Synthesia

DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.

Dr. Anish Kapur, Founder & CEO, Promptly

DoiT's Customer Success and Forward Deployed Engineering teams work very closely with us. The regular sessions with our CSM keep us focused on the right priorities, and the FDEs provide the deep technical guidance we need to validate decisions and optimize our environment. That combination has been genuinely valuable for us.

Alexander Lundberg Santos, Platform Engineer at Extenda Retail

When we started working with DoiT, we deployed Flexsave to save time and reduce complexity. We still use it today. But what really stands out is the expert support. Having someone to collaborate with on deep cloud cost topics, someone who really understands the nuances, is incredibly valuable.

Jesper Terkelsen, CTO at Monta

DoiT's Cloud Accelerator turned our AI idea into a shipped product, saving at least three months of development and delivering reliable, explainable insights our customers trust.

Scott Desgrosseilliers, CEO and co-founder, Wicked Reports

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CB4 Boosts ML Performance 30%

Meet CB4

The Challenge

The Solution

Results

Building a secure and flexible data pipeline

Optimizing cloud spend

Performance breakthrough

See how DoiT helps cloud teams control spend

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