OnlineSales.ai accelerates retail media AI analytics with Google Cloud BigQuery and Cloud Load Balancing

OnlineSales.ai aimed to improve ad server response times and data processing query times to support faster AI-driven targeted advertising for retailers and marketplaces. They migrated their retail media platform to Google Cloud, leveraging BigQuery to reduce data query times by over 60% and Cloud Load Balancing to reduce ad placement time by 30%. The company deployed Dataproc to automate Apache Spark provisioning, freeing up engineering resources. Google Cloud solutions enabled OnlineSales.ai to support rapid global retail media expansion and scalable AI algorithm development.

Organization
OnlineSales.ai
Industry
Retail

Reported outcomes

−60%

timeTime & speed

Strategic outcomes

Market & geographic expansionEnabled rapid global retail media expansionNew product / capabilityImproved AI analytics for targeted advertisingSpeed & agilityImproved ad server responsivenessScale & capacityEnabled scalable AI infrastructure

Catalog median for time & speed deployments: −55% across 674 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

  • 1AI analytics acceleration
  • 2Cloud migration for retail media
  • 3Automated infrastructure provisioning
  • OnlineSales.ai needed a scalable cloud solution to support global expansion and complex data analytics.
  • They wanted to improve ad server response times and data query performance for AI-powered targeted advertising.
  • Migrated to Google Cloud using BigQuery for AI data analytics and Cloud Load Balancing to improve network connection latencies and reduce ad placement times.
  • Deployed Dataproc for automated provisioning of Apache Storm stream processing infrastructure, reducing manual provisioning work by two full days during peak sales periods.
  • Partnered with Niveus Solutions for migration and ongoing support.
  • Cut ad server response time from 80ms to 55ms, improving responsiveness in retail media.
  • Reduced data warehouse query times by over 60%, enabling faster AI analytics for targeted advertising.
  • Enabled rapid global retail media expansion with scalable AI infrastructure.
  • Freed engineering teams to focus on creative solution development.
Implementation partners1
Sources & evidence1
Groundedness: 4/5

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