Pharmovo AI uses a neural network to predict pharmaceutical demand, helping to prevent drug shortages and reduce waste within the supply chain. Their platform provides actionable insights for pharmaceutical companies to optimize inventory and production.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The pharmaceutical industry faces challenges in accurately predicting drug demand, leading to drug shortages, overstocking, and significant waste due to expiry, ultimately impacting patient access and profitability. In the UK alone, approximately £400 million of pharmaceutical stock expires on shelves annually.
Solution
Pharmovo AI provides a neural network-driven platform designed to forecast pharmaceutical demand at national and regional levels, enabling proactive management of the supply chain. By leveraging custom models and agentic AI, the platform dynamically reacts to market changes in prescribing and patient behavior to generate precise demand predictions. This allows pharmaceutical companies to optimize inventory levels, mitigate shortages before they occur, and reduce waste from expired medications. The system integrates directly with existing inventory management systems via API, providing actionable insights to improve market access and supply chain efficiency.
Target Audience
Pharmovo AI primarily targets pharmaceutical companies, wholesalers, and market access teams seeking to optimize their supply chains, reduce waste, and improve drug availability.
Features
- Purpose-built neural network leveraging custom models and agentic AI for precise demand forecasting.
- Dynamic forecasts that react to market changes in prescribing and patient behavior.
- Region-specific demand predictions available at national and regional levels.
- API integration for seamless connection with existing inventory management systems.
- Shortage detection capabilities to identify potential shortages in advance.
- Waste reduction through optimized procurement and supply planning.