Digitize Pharmaceutical Supply Chains with Emerging Technologies
Join us on March 31 and discuss how to bridge data and business process islands throughout a complex enterprise supply chain. We will show a live demo to highlight how supply chains can be integrated so that every actor has real time inputs into the latest state of the business process while preserving privacy for each stakeholder.
Presenters:
- Guido Rijo, Vice President, Supply Chain Digital Transformation, Johnson & Johnson
- Lakshmi H Shastry, Blockchain Architect, Brillio
- Manish Grover, Partners & Industry Solutions, Digital Asset
Using real life examples, we will explore how to reduce latencies and average inventory levels in the supply chain so it is more responsive while also enabling speedy and accurate recalls. While significant technological advancements have been made, supply chain processes still operate in silos across the various participating organizations and applications. For example:
- Multiple ERPs, procurement, and inventory systems often need to be kept in sync.
- Order and inventory information needs to be exchanged frequently to ensure service levels are met. All of this requires extensive software and manual interventions.
- Accurate forecasting and inventory planning is adversely affected due to latencies, and overall risk is increased.
- Parties lack access to an accurate, real-time state of business processes along the supply chain. Information is often fragmented and inconsistent because of multiple handoffs.
- Privacy, data domicile considerations, and compliance needs are difficult to meet.
Thus, data and process islands result in significant reconciliation processes driving up cost and reducing responsiveness. A solution is needed that orchestrates and optimizes these multiparty business processes to ensure real-time visibility of transactions across the supply chain.
Key takeaways:
- Bird’s eye view of the most impactful opportunity areas
- How current IT strategy can be enhanced with emerging tech
- How analytics and AI programs can be accelerated