When planning your cold chain logistics strategy for temperature-sensitive biologic materials, a key consideration is minimizing risk to the quality of the commodity and its on-time delivery. Today, there are tools available that optimize outcomes by using real-world data to create better predictive models for the delivery of shipments anywhere in the world.
For complex supply chains requiring frozen temperatures throughout, condition monitoring plays a critical role in ensuring quality, but so does timing of the shipment and delivery. Therefore, routes and shipping lanes need to be optimized to minimize downtime.
Information systems now mine a vast array of data to identify the optimal solution. Cryoport captures data from actual shipments from our network of carrier partners, shipment and airline schedules (including remote destinations), commodity type and global holidays. Aggregating and analyzing thousands of data points results in a predictive tool that can recommend optimal shipment timing and informs cold chain route selection decisions.