Presidion and RS Components presenting Smart Inventory Management at IBM Think London 2018
About Presidion (A Version 1 Company) and RS Components
Presidion is a specialised Advanced Analytics Solutions Company that help its customers deliver tangible RoI through actionable data insights. Presidion recently became part of Version 1’s Digital Services practice, adding specialist expertise in Advanced Data Analytics.
RS Components is the leading distributor of Electronic, Electrical & Industrial components.
At this event, Presidion and RS Components will be presenting the Smart Inventory Management solution that is helping RS Components reduce their MRO inventory levels by up to 50%.
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.
About the Speakers & Presentation
- Rob McCullagh, Strategic Account Director, Presidion
- Paul Redmond, Global Head of Smart Services, RS Components
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%).