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# Serialization + Digitalization Data + AI/ML Can Balance Supply Chain Efficiency with Customer Service

 

 

 

 

 

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#### Table of contents

 

 

 

![Serialization + Digitalization Data + AI/ML: Balancing Supply Chain Efficiency with Customer Service](https://play.vidyard.com/aABxRPA1VUJ5kKkXzypGYA.jpg)

Data fragmentation and supply chain silos are creating costly blind spots in logistics decision-making. At [**FutureLink Boston 2025**](/experience-futurelink-on-demand), ZS experts Chris Wong and Bharathi Shankar show how pharmaceutical companies are overcoming these challenges by linking serialization data, internal inventory systems, and real-time logistics information to improve operational efficiency—without compromising on patient care.

Drawing from three real-world case studies, they demonstrate how AI and ML can help identify product diversion schemes, prevent costly missed deliveries for short-shelf-life therapies, and automate optimal transportation mode decisions for global shipments. The result: better cost control, fewer disruptions, and a dramatically improved customer experience.

**Key Takeaways:**

- How serialization data can be used to detect 340B diversions and recoup lost revenue
- Why linking internal and external data is critical for delivering time-sensitive therapies
- How AI/ML-driven logistics decisions can cut costs, reduce CO₂ emissions, and improve service

Watch now to discover how ZS is helping life sciences leaders modernize logistics and protect patient outcomes.



 



 

[Video](/category/video)[Multienterprise Information Network Tower (MINT)](/category/multienterprise-information-network-tower-mint)[Supply Chain Digitalization](/category/supply-chain-digitalization)[Supply Chain](/category/supply-chain) 

 

 

 

#### Table of contents

 

 

 

Meet with TraceLink to learn more about supply chain digitalization.

 

Fill out the form to schedule a meeting now.


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