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.
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.
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.
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
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.
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.
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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