Originally Presented Wednesday, February 22, 2017 | 11 AM EST

Presented by: Dan Gettens, Chief Analytics Officer, OnProcess Technology and Dr. Chris Caplice, Executive Director of MIT Center for Transportation and Logistics

In this complimentary webinar, OnProcess and MIT will reveal how to transition from static to much more reliable and cost-effective dynamic spare parts inventory planning. Based on their new research about the impact of IoT data on machine failure predictability and inventory planning, they will explain how companies could reduce inventory while improving service levels and minimizing the amount of new product purchases needed to replenish inventory.

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