Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
A retail cooperative owned by over 4 million members, prioritizing member value and sustainability amidst high inflation and shifting consumer habits.
Category managers struggled to perform simple lookups, such as checking the market share of bananas or honey, without navigating complex dashboards....
“It’s better to ask 100 questions and maybe get one faulty answer than not asking a question at all. If you can create this network of many decisions happening all the time, we will be in a better place eventually.”
Consumer cooperative operating grocery stores and online retail services in Sweden.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Coop's Self-service analytics is part of this use case:
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Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
A retail cooperative owned by over 4 million members, prioritizing member value and sustainability amidst high inflation and shifting consumer habits.
Category managers struggled to perform simple lookups, such as checking the market share of bananas or honey, without navigating complex dashboards....
“It’s better to ask 100 questions and maybe get one faulty answer than not asking a question at all. If you can create this network of many decisions happening all the time, we will be in a better place eventually.”
Consumer cooperative operating grocery stores and online retail services in Sweden.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Coop's Self-service analytics is part of this use case:
Related implementations across industries and use cases
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Two homegrown bots drained the engineers who built them. Claude Tag catches alerts, traces root causes, and opens PRs—without being asked.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.