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.”
Coop's Self-service analytics is part of this use case:
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.
Related implementations across industries and use cases
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Assessing one product took weeks. Now, an AI copilot models 60,000 items in four hours to simulate lower-carbon recipes.
Young staff hesitated to ask managers, slowing stocking. A text-based AI assistant now answers inventory queries on personal phones.
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Assessing one product took weeks. Now, an AI copilot models 60,000 items in four hours to simulate lower-carbon recipes.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
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.”
Coop's Self-service analytics is part of this use case:
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.
Related implementations across industries and use cases
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Assessing one product took weeks. Now, an AI copilot models 60,000 items in four hours to simulate lower-carbon recipes.
Young staff hesitated to ask managers, slowing stocking. A text-based AI assistant now answers inventory queries on personal phones.
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Assessing one product took weeks. Now, an AI copilot models 60,000 items in four hours to simulate lower-carbon recipes.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.