Coordinating 1,000 ships across 150 countries bottlenecked planning. Now, AI processes 300M data rows to generate accurate supply plans.
A global business unit of a fast-moving consumer goods giant connects 120 sourcing units to 150 countries using 1,000 ships.
Coordinating logistics across these global touchpoints created severe operational complexity. Routine planning cycles required 45 days to complete,...
“The Anaplan planning cycle [has accelerated] from 45 days to four days, and some of these elements can be done in four minutes.”
Global producer of consumer goods across beauty, personal care, home, and nutrition.
Connected planning platform for finance, supply chain, and workforce planning.
Related implementations across industries and use cases
Tripled SKUs bottlenecked manual planning. Planners deployed a GPU solver to slice complex demand data and model scenarios in real time.
Manual spreadsheets kept forecast accuracy under 60%. Intelligent models now automate orders to balance global inventory.
Reporting took 30 days due to IT bottlenecks. Now, 4,300 users run self-service predictive planning, delivering forecasts 5x faster.
Tripled SKUs bottlenecked manual planning. Planners deployed a GPU solver to slice complex demand data and model scenarios in real time.
Manual spreadsheets kept forecast accuracy under 60%. Intelligent models now automate orders to balance global inventory.
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.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
Silos hid the true cost of delays. Now, AI weighs crew, cargo, and passenger factors to calculate optimal recovery plans in real time.