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Retail & ecommerce · Snowflake

Wolt Delivers Hyperlocal Experiences With Geospatial Analytics

Public case study · not a Metric Oak engagement

less time required to wrangle data for intra-country expansion decisions
80%
registered users supported in more than 500 cities globally
36M+

What happened

The story in brief

A food and retail delivery platform operating in hundreds of cities wanted better market coverage decisions. Building geospatial analytics on Snowflake greatly reduced the time spent preparing data for expansion decisions.

See the full retail & ecommerce benchmark

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Data platform engineering

Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.

  • Retail & ecommerce · Snowflake

    Accor

    2

    months to launch CDP after initial testing

  • Retail & ecommerce · Snowflake

    Etam

    8-15%

    improved forecasting accuracy

  • Retail & ecommerce · Snowflake

    Flix

    <30%

    Lower costs upon migration

Related insights

Frequently asked questions

What results did Wolt report?

Wolt reported 80% less time required to wrangle data for intra-country expansion decisions; 36M+ registered users supported in more than 500 cities globally, according to its customer story published by Snowflake.

Which platform and technologies did Wolt use?

Wolt used Snowflake, including Secure Data Sharing.

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: Wolt Delivers Hyperlocal Experiences With Geospatial Analytics (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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