Coop Reaches 30% Retention with "AskCap", a Databricks Genie Assistant Born From a Hackathon
Retail cooperative Coop turned an internal hackathon prototype into AskCap, an AI assistant built on Databricks Genie and governed through Unity Catalog, that lets employees query enterprise data in natural language directly inside Microsoft Teams. Category managers use it for point lookups such as checking market share of specific products, and it has reached a 30% retention rate among internal users interacting with it.
Overview
Retail cooperative Coop turned an internal hackathon prototype into AskCap, an AI assistant built on Databricks Genie and governed through Unity Catalog, that lets employees query enterprise data in natural language directly inside Microsoft Teams. Category managers use it for point lookups such as checking market share of specific products, and it has reached a 30% retention rate among internal users interacting with it.
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Inspect the highlighted sourceThe challenge
As a cooperative owned by over 4 million members, Coop needed to make data accessible to everyone, not just technical teams, in order to remain competitive during times of high inflation and shifting consumer habits.
The solution
Coop leveraged the Databricks Data + AI Platform to turn an internal hackathon idea into "AskCap", an AI-powered assistant that allows employees to query enterprise data via Microsoft Teams using natural language. AskCap acts as a "meta layer" built on top of the Databricks Data + AI Platform, utilizing Databricks Genie for its native natural language capabilities, with the underlying data structured in a governed "gold layer" and access governed by Unity Catalog to keep answers accurate and prevent the bot from hallucinating or revealing sensitive information.
Reported business value
Since its launch to the head office, AskCap has achieved a "stickiness" rate of around 30% among internal users. It has become an essential tool for category managers performing "point lookups", such as checking the market share of specific products like bananas or honey, without navigating complex dashboards.
Sources
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