AI for the Service Supply Chain
Leverage Artificial Intelligence (AI) to reduce costs & improve customer satisfaction
Prophet.ai, a new module of BaxterProphet, part of the BaxterPredict Platform, utilizes AI to eliminate the guesswork associated with New Product Introduction (NPI) and Last-Time-Buy (LTB) decisions.
Companies typically carry 40% too much inventory because of poor NPI and LTB decisions. Previously, there were no accurate tools to help predict how many spare parts you will need to support a new product launch, or to predict how much spare part demand you will experience two, three, five, or even twenty years into the future. Now there is, with Prophet.ai.
Leverage Artificial Intelligence to reduce costs and improve customer satisfaction
Prophet.ai uses AI and large data sets to accurately predict product installed base and spare parts demand far into the future. This is the next generation in Service Parts Management.
With Prophet.ai, you will achieve:
- Improved customer uptime and service levels, especially those driven by critical NPI/LTB events
- Reduced inventory spend by an average of 12%
- Brand protection by having the needed spare parts on hand to support new products
- The ability to predict product lifecycles and spare parts demand far into the future
- Early identification of excess inventory through improved visibility into future spare parts demand
Unlocking AI for the Service Supply Chain for real-world results:
Accurate NPI stock levels
Excess inventory used more effectively through service extensions, part sales, and more.
Accurate last-time buys
Unlocking AI for the Service Supply Chain for real-world results:
Accurate NPI stock levels
Excess inventory used more effectively through service extensions, part sales, and more.
Accurate last-time buys
Additional Benefits of Prophet.ai include a reduction in:
– Reserve depreciation impact on P&L
– Carrying cost of excess throughout the end of life
