Curing Product Waste in the Pharma Supply Chain for the Health of the People—and the Planet | SupplyChainBrain

Curing Product Waste in the Pharma Supply Chain for the Health of the People—and the Planet


Webinar Description

The healthcare industry is responsible for 4.4% of global GHG emissions a number that will more than triple by 2050 if left unchecked. Pharmaceutical brands have increasingly made efforts to reduce their carbon footprint, mainly by optimizing their transportation operations, using more energy-efficient modes where possible, and exploring more sustainable packaging solutions. However, one major root cause of excess emissions too often goes untreated: product loss during transportation.

Failures in temperature-controlled pharmaceutical logistics that result in product waste are not just counterproductive to sustainability goals—they can incur both drastic financial costs and tragic impacts to patients’ health and wellbeing. In this webinar, our panel of pharmaceutical supply chain experts unpacks the impacts of product waste on the planet, pharmaceutical companies, and patients, as well as a solution—real-time shipment visibility technology that allows logistics teams to solve in-transit issues before they result in damage and loss. 


 

What you will learn:

  • How failures in the pharmaceutical cold chain contribute significantly to the epidemic of product loss
  • How product waste during pharmaceutical shipping negatively impacts the planet, profits, and human lives
  • Why legacy temperature monitoring practices (such as passive data loggers) have failed to address this problem, and why it has taken these practices so long to be revamped
  • How modern, real-time shipment visibility technology will reduce product loss as its implementation becomes more widespread in the industry

Speakers:

Richie Daigle, Enterprise Account Executive, Tive

Chris Wallace, Pharmaceutical Supply Chain Industry Consultant, Clover Biopharmaceuticals

Moderator:

Helen Atkinson, Managing Editor, SupplyChainBrain



 

 

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