Faculty is an applied artificial intelligence company. They help their customers achieve outlier performance by building cutting edge science into their decision-making processes. They do this through the Faculty Intelligence Layer, a decision intelligence technology that applies the scientific method to organisational decision making.
For medical device manufacturers, the Intelligence Layer powers forward-looking supply chain decisions, helping them understand what is happening and why, and what they can do about it. They have done this for some of the world’s largest medical device companies, giving them better demand forecasting capability, helping them to free up cash and reduce excess inventory.
The Faculty Intelligence Layer does this by surfacing granular insights, recommending interventions and simulating future scenarios to help optimise decision-making right across the supply chain. It can be applied to a range of supply chain use cases, from demand forecasting and production optimisation to workforce allocation and distribution.
The challenge: good decision-making has never been so critical for medical device manufacturers
Medical device manufacturers have faced a unique set of circumstances over the past few years. While the pandemic presented an obvious opportunity for organisations selling devices and equipment to treat COVID-19, they were still confronted by the challenges no industry could evade. The constant flux of volatile demand and supply triggered by the pandemic, the global supply chain crisis that followed in its wake and other headline-making world events tested the fragility of their global, multi-tiered supply chains. In S&OP in particular, these unexpected disruptions lead to risky, reactive decisions, resulting in inefficient production plans, excess inventory and dissatisfied customers.
Most supply chain leaders would agree that to improve their decision-making, they need to do this: leverage more data, more systems and more people. But this doesn’t just delay solving the actual problem - it can drive up supply chain complexity and costs even further. What they need is a fundamental rethink of how they use technology to make their decisions.
The solution: anticipate the future and make better decisions every day with the Faculty Intelligence Layer
The Intelligence Layer enables you to combine the best of human and machine intelligence to automate your simple, everyday decisions, and surfaces deep insights to help you make the complex ones. It does this by combining your data and organisational expertise with their cutting-edge machine learning, helping you understand not just what will happen by why, and supporting more informed, better decisions. And by enabling you to run simulations of future scenarios - like tomorrow’s crisis - you can plan the optimal response in advance. Their decision intelligence platform allows you to better prepare for the future and improve operations across the entire supply chain, from planning to execution. Minimise inventory levels, perfect production plans and improve customer satisfaction with the Faculty Intelligence Layer.
About Pharma Supply Chain and Logistics Innovation Programme 2022
Pharma Supply Chain and Logistics Innovation programme is a promising conference of World BI, focusing on different aspects of supply chain challenges especially during the COVID-19 pandemic. Get to know how supply chain professionals ensure the agility and visibility of the complex supply chains with the technological advancements in the world nowadays. Implement the robust supply chain plans as forecasted and monitoring the distribution network, keeping in mind the last mile delivery and patient centricity.
7th Pharma Supply Chain and Logistics Innovation Programme to be held in Basel, Switzerland on 10-11 May 2022.
8th Pharma Supply Chain and Logistics innovation Programme to be held in Munich, Germany on 23-24 November 2022.
This year Pharma Supply Chain and Logistics Innovation programme will come up with new flavors discussing all the challenges for a disrupted supply chain post covid, supply chain management and supply chain differentiation covering technological advancements. This conference is a blend of discussions featuring end-end supply chain, supply chain optimization, product security & authentication and regulatory compliance.
Speakers & delegates such as MSD, GSK, Novo Nordisk, Vifor Pharma, Bayer, Johnson and Johnson, Novartis, Cytvia, Clover Biopharma and many more are looking forward to joining this conference.