PepsiCo
Workforce collaboration
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
- 90-95% daily active use of Copilot
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
A global consumer goods enterprise with 90,000 employees across 120 countries, processing thousands of daily customer orders through various channels including email, PDF, and electronic data interchange.
Manual workflows and complex order processing led to frequent data entry errors and pricing inconsistencies across internal systems. These...
“AI doesn’t sit still. It is challenging and reshaping our strategy.”
Global dairy, plant-based food, bottled water, and specialized nutrition company.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Danone's Order processing is part of this use case:
Related implementations across industries and use cases
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Email orders took 42 hours to process across five systems. AI agents now parse files and trigger ERP actions in under one minute.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
A global consumer goods enterprise with 90,000 employees across 120 countries, processing thousands of daily customer orders through various channels including email, PDF, and electronic data interchange.
Manual workflows and complex order processing led to frequent data entry errors and pricing inconsistencies across internal systems. These...
“AI doesn’t sit still. It is challenging and reshaping our strategy.”
Global dairy, plant-based food, bottled water, and specialized nutrition company.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Danone's Order processing is part of this use case:
Related implementations across industries and use cases
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Email orders took 42 hours to process across five systems. AI agents now parse files and trigger ERP actions in under one minute.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.