July 17, 2023
o9 AI/ML Forecasting Capabilities with a large Consumer Health Enterprise
Summary video of the Demand Planning DPP we performed with the consumer health division of a leading pharma company.
The objective of this proof-of-concept (POC) was to assess whether a new digital demand planning solution can enable the use of multiple data sources to generate forecasts, enable planning via exceptions in a simple user interface, and ultimately drive improved forecast performance through a standardized solution.
The POC was successful in demonstrating that o9 can meet all of these objectives. o9 uses a multi-variant segmentation approach to analyze historical sales patterns, the type of product, stage of life cycle, and other factors to generate forecasts. The solution can also accommodate variations in business models and data availability, and it enables cross-functional collaboration and exception-based planning.
As a result of the POC, o9 was able to improve forecast accuracy by 10%. The solution also helped to improve the efficiency of the demand planning process by automating Excel dashboards and KPIs.
Overall, the POC showed that o9 is a valuable tool for businesses that need to improve their demand planning process. The solution is easy to use, flexible, and accurate. It can also help to improve the efficiency of the demand planning process, freeing up time for demand planners to focus on other tasks.
