10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
One of the world's leading brewery groups operates across more than 150 markets with over 37,000 employees and a massive supply chain network of 10,000 workers.
Supply chain workers needed to access critical compliance documentation and training materials, such as retrieving up to 4,000 operational standards...
“It has been a pleasure working with Microsoft Unified to rapidly develop a powerful AI agent, with a modern architecture linked to several resources, in only two days. It’s a great example of collaboration and innovation in action.”
Global brewery and beverage company with a portfolio of international beer brands.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Staff manually checked thousands of orders in Excel. Now, automated apps and AI agents validate logistics and pre-screen legal claims.
Bakers struggled to pick from 20 sourdough types. Now, an AI assistant matches natural language needs to the exact ingredient.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Technicians spent 30 minutes hunting through 1,500-page manuals. A multilingual AI now provides instant answers and direct citations.
Technical queries forced sales teams into follow-up meetings. AI now provides answers live, cutting onboarding time by 50%.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.