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
Young staff hesitated to ask managers, slowing stocking. A text-based AI assistant now answers inventory queries on personal phones.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
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
Young staff hesitated to ask managers, slowing stocking. A text-based AI assistant now answers inventory queries on personal phones.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.