SPSS Analytics Partner | Presidion presenting “Smart Inventory Management” at IBM Think 2019 in San Francisco

Presidion presenting “Smart Inventory Management” at IBM Think 2019 in San Francisco

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Rob McCullagh, Strategic Account Director at Presidion, will be presenting Presidion’s innovative solution to optimise MRO stock levels & reorder points.

Smart Inventory Management (SIM)

This solution is an Analytics based Inventory Management capability that enables companies like RS Components reduce their MRO inventory levels by up to 50% by removing obsolete stock and optimising stock levels and reorder points.

Watch the recording of Rob McCullagh’s presentation at IBM Think London 2018.

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About the Speaker & Presentation

Rob McCullagh, Strategic Account Director

For the past 17 years Rob has been helping organisations use their data to answer the business questions that are keeping them awake at night.
In business, his goal is to help provide timely, meaningful and actionable information based on a myriad of data that delivers actionable insight.
Through the use of Advanced Analytics, he helps deliver answers that get executives excited about what they can now achieve. Data mining is a collaborative process and he typically hears the expression” Now, that’s really interesting” as they uncover new insights about a specific business challenge.


Optimising MRO Stock Levels with IBM Analytics and Smart Inventory Management

Balancing inventory holding levels and service levels is never an easy task. Further, few organisations have the skills, tools or bandwidth to achieve a bird’s eye view of which stock items are fast or slow moving and to continually readjust reorder points based on lead times and distribution frequencies. Presidion Smart Inventory Management is a visual, interactive, integrated, and preconfigured Analytics based Inventory Management capability. It will help you to identify potentially obsolete stock and suggest more optimal reorder points for frequently issued stock items. It also provides a detailed profile and understanding of both the levels of inventory you hold as well as the quality of data maintained. Linking your IoT to a practical application like Predictive Maintenance will drive significant ROI and put a clear structure on your IoT roadmap and measurement of success. Predictive Maintenance (PdM): the use of Advanced Predictive Analytics and multiple historic data sources, aims to predict when and where an asset will fail (and why). This capability offers manufacturers the opportunity to reduce operating costs (10-25%) and product development costs (25%).

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