Case Study: SoundCommerce achieves real-time, scalable retail decisioning with Looker

A Looker Case Study

Preview of the SoundCommerce Case Study

SoundCommerce powers retail decisions with real-time data

SoundCommerce, founded in 2018 by Amazon veterans, offers an out-of-the-box data platform that helps retail brands forecast demand, manage inventory, and deliver seamless customer experiences. As customers moved faster to eCommerce, SoundCommerce found its original cloud and BI tools created heavy administrative overhead, limited modeling and drill-down capability, and required days of engineering work to scale shared models and reports—slowing time-to-value for retail clients.

SoundCommerce rebuilt its stack on Google Cloud Platform with BigQuery and Looker (using LookML and embedded analytics), migrating reports in under two months with partner Bytecode IO. The new platform cut licensing costs by about 75% (saving over $10K/month), reclaimed hundreds of manual reporting hours per month, and increased engineering throughput by ~50%, while delivering real-time insights into inventory, unit economics, and customer lifetime value—helping customers reallocate stock, improve fulfillment, and drive strong ROI (examples include 400% ROAS at the order level and 700% at the customer level).


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SoundCommerce

Eric Best

Chief Executive Officer


Looker

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