Overview
Medicine expiry is one of the largest hidden sources of inventory loss in pharmacy operations. Traditional systems record expiry dates but provide little intelligence to help pharmacies proactively reduce wastage or optimize stock movement.
Tilbury addresses this challenge with an AI-powered Expiry Risk Optimization Engine that continuously monitors inventory across all locations and recommends actions before medicines become obsolete.
Challenge
Conventional inventory systems struggle to:
As a result, pharmacies often incur avoidable inventory losses and reduced inventory efficiency.
Solution
Tilbury continuously analyzes medicine batches using expiry dates, stock levels, dispensing patterns, and demand forecasts.
As medicines approach expiry, they are automatically prioritized within an Expiry Action Queue that provides:
Using AI-driven demand forecasting, the system estimates how much stock can realistically be dispensed before expiry. For inventory unlikely to be consumed in time, Tilbury identifies alternative locations with higher demand and recommends optimal stock transfers.
The platform continuously learns from real-time dispensing activity across all stores, improving forecast accuracy and transfer recommendations over time.
Business Impact
Result
With Tilbury’s AI-Powered Expiry Risk Optimization Engine, pharmacies move from reactive expiry tracking to proactive inventory intelligence. The solution minimizes wastage, protects profitability, and ensures medicines are available where they are needed most—creating a smarter and more efficient pharmacy supply chain.
