Traditional pharmacy inventory management relies on manually defined reorder levels, often applied uniformly across medicines regardless of demand patterns, supply risks, or consumption trends. This frequently results in stock-outs, excess inventory, and inefficient capital utilization.
Tilbury addresses this challenge with an AI-driven Indent Management solution that continuously optimizes replenishment decisions for every medicine at every location.
Challenge
Conventional reorder thresholds fail to account for:
As a result, pharmacies often experience inventory shortages, overstocking, and unnecessary procurement costs.
Solution
Tilbury’s AI engine dynamically calculates optimal reorder thresholds for every medicine based on:
The system continuously learns from dispensing activity and automatically adjusts reorder levels as demand patterns change.
When inventory falls below the calculated threshold, Tilbury automatically generates replenishment indents for the appropriate quantity, while considering current requirements, restrictions, and policy changes.
Business Impact
Result
With Tilbury’s AI-Powered Replenishment Engine, pharmacies move from static, rule-based inventory management to a self-learning, demand-driven supply chain. The solution ensures optimal medicine availability while minimizing excess inventory, creating a more efficient, responsive, and financially sustainable pharmacy operation.
