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Breathing Life into Life Sciences Supply Chains with IoT, AI and ML

By May 25, 2021August 25th, 2021Blog

Customers swear by our supply chain expertise, digital-first approach and customer centricity. And we empower them by forming strong partnerships that continue to deliver business value to them as we work together to advance their digital transformation journey.

One such customer is a leading global developer, manufacturer and marketer of life sciences tools and integrated systems for large-scale genetic variation and function analysis. We are proud to partner with this life sciences company, which holds over 70% of the market share.

Bristlecone was initially brought on board for a consulting engagement to advise on the client’s digital supply chain transformation strategy. We were selected for this first initiative following a rigorous evaluation of our consulting capabilities, technical competency and change management experience. It has been a successful and exciting partnership ever since.

For this life sciences leader, we remain the strategic partner of choice in all areas of supply chain. Some of the ways in which we have helped them throughout their journey include:

  • Digitization and transformation of supply chain planning and analytics to optimize inventory management, increase real-time visibility, enhance collaboration, and improve the management of variations in demand and supply.
  • Transformation of procurement and associated processes to enable AI/ML-driven automation, increase forecasting accuracy, reduce manual effort, enhance compliance and reduce total cost of ownership for service procurement.
  • Real-time shipment tracking, leveraging our SaaS-based track and trace solution and IoT technology, to provide end-to-end visibility into over 300K global shipments in transit.
  • Incorporating external factors and event insights into tracking to further improve shipment visibility, provide proactive notifications for shipment delays and enable exception management, while also integrating seamlessly with existing ERP systems.
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