Improving Demand Planning in Life Sciences & Pharma.
Find out how several Life Sciences & Pharma companies have been able to overcome disruptions and increase forecasting accuracy & service levels.
Both internal and external factors put life science supply chains under pressure. Uncertain government tenders, changing legislative requirements, and increasing demand for generic products are driving volatility and disruption in the demand for pharmaceuticals as well as medical devices.
Traditional technology limits your capability to properly tackle this increasing complexity, with ineffective Excel sheets, siloed information, and constant firefighting as a result. Poor forecast accuracy results in poor service levels and dissatisfied customers.
Benefits of AI in Demand Planning
Time to put the market central in your planning processes and align around the volatility of your customers. By combining human knowledge with AI, Garvisempowers planners to makefast and accurate decisionsbased on data, real-time insights, and risk profiles.
Forecast error drops by 30 to 40%
Better decision-making: more stable production schedules
More accurate launch and planning of new products, as these are very costly
4-5 days reduction in safety stock
No implementation costs, immediate value (implement in one day, have results in a week, go live in a month)
Increased service levels
Key features for Life Sciences & Pharma organizations
Powerful, user-controlled AI to help planners understand the components of demand, not just the total demand
Extensive portfolio management with phase-in, phase-out, and AI-proposed demand ramp-up plans
Demand Sensing to improve forecasting in the short term