With annual revenue of $15 billion, this global personal care company is a household name with many successful brands in its portfolio. Yet it was still leaving money on the table because of its traditional approach to demand planning, which was saddling the company with a MAPE (mean absolute percent error) of more than 30% at granular levels. Working with Samya, the company was able to achieve huge improvements in a short amount of time.
The Dynamic Demand.ai solution, designed specifically for CPG companies, achieved a 10.5% improvement in forecast accuracy on the 3-month rolling forecast, along with a 15.6% improvement on the 5-month rolling forecast. That translated to potential revenue growth of 1-2% for the combinations under consideration – in addition to improved run times and productivity benefits for the company’s demand planners.