Makersite
Nikola Milovanovic's work experience starts in 2008 as a Junior Logistics Specialist at NIS AD. From 2010 to 2013, they worked as a Technical Support Engineer at Veridix d.o.o. Following that, they joined VERIDIX as a Support Engineer for SCM Solutions from 2013 to 2016. In 2016, they transitioned to GEODIS, where they held various roles including Key User Supply Chain Optimization from 2016 to 2018, Business Process Analyst from 2018 to 2021, and Implementation Project Manager from 2021 to 2022. Currently, they work at Makersite as a Senior Implementation Engineer - Supply Chain starting in 2022.
Nikola Milovanovic attended the Faculty of Transport and Traffic Engineering at the University of Belgrade from 2001 to 2008. Nikola pursued studies in the field of logistics during this time but did not obtain a specific degree.
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Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.