Retail & ecommerce · Snowflake
Huel Creates the Perfect Blend of Data to Drive Product and Service Improvements
Public case study · not a Metric Oak engagement
- hours saved per month
- 200
- years of Snowflake, paid for in one query
- 2
What happened
The story in brief
A UK plant-based nutrition brand wanted insight across every level of the business. Bringing its data together on Snowflake gave teams the information needed to improve products and service.
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AI-ready data
Governed, retrievable data for GenAI, RAG and agents. Senior engineers, fixed scope, measured results.
Frequently asked questions
What results did Huel report?
Huel reported 200 hours saved per month; 2 years of Snowflake, paid for in one query, according to its customer story published by Snowflake.
Which platform and technologies did Huel use?
Huel used Snowflake on AWS, including Snowpark, Cortex AI, dbt, Large language models.
How do these results compare with other retail & ecommerce programs?
See our retail & ecommerce benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Snowflake: Huel Creates the Perfect Blend of Data to Drive Product and Service Improvements (opens snowflake.com in a new tab) on snowflake.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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