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Blume Global Introduces New Digital Offerings for the Global Supply Chain Ecosystem

Company Announces New AI and ML Powered Solutions to Drive Digital Supply Chain Innovation; Expanded Portfolio Builds on 24-Year History of Delivering a Proven, Trusted Platform

Blume Global, building on its more than two decades of delivering customer value through its REZ-1 platform, today announced new solutions to power a real-time, collaborative global supply chain ecosystem. With Blume solutions, all participants in the global supply chain ecosystem can leverage advanced technologies including Artificial Intelligence and Machine Learning to drive and accelerate visibility, orchestration, fulfillment and settlement across the supply chain – from retailers and manufacturers, to logistics service providers, to railroads and ocean carriers to motor carriers, to drive innovation and growth, create new value within and across their networks, and improve cost management and efficiencies.

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“We are seeing a powerful convergence of trends that are simultaneously creating new opportunities and new challenges for businesses. Technological advances in machine learning, AI, intelligent robotic process automation, blockchain, big data, IoT and more, are enabling us to look at the supply chain and all the assets moving along the supply chain as a collaborative trading network that can be orchestrated and managed, and continuously improved, in real-time. At the same time, the foundational requirements around cost management, operational improvements, profit improvement and risk management remain core to supply chain leaders. Adding to this is the enormous competitive pressure that we are seeing across every industry that is on the one hand improving customer experience, and on the other simultaneously increasing pressure as demand becomes less predictable and transparent. This is driving a need for a more complete, collaborative, technology and data driven approach, from the first mile to the last mile, including the visibility, orchestration, fulfillment and settlement across all participants,” said Pervinder Johar, Chief Executive Officer, Blume Global.

“As a customer since 2011, we are excited to see the next wave of innovation to come from Blume, in particular in logistics execution. For us, the ability to execute all aspects of logistics across our customers’ supply chains is critical to our business, including first and last mile automation and standardization to bring efficiency and improved service; visibility and fulfillment through the vast network of Blume-connected motor carriers. We look forward to continuing our work with the new REZ-1, now Blume, going forward,” said Mark Bartmann, Senior Director of Seafreight Drayage Solutions, Kuehne + Nagel.

Read More: The Promise and Potential of AI for the Insurance Industry

According to Gartner, in its November 2017 report titled, “The Impact of the ‘Network of Networks’ on the Supply Chain and What Leaders Can Do About It,” Gartner analysts noted the new possibilities for innovation with machine learning, saying, “As the network of networks brings formerly disparate sets of supply chain data together, new opportunities to apply machine learning are emerging. The combination of global trade management (GTM), TMS, and real-time tracking as an example can create a large dataset of end-to-end logistics. Machine learning can analyze the data and provide new insights into estimated arrival times, risk, and performance that wasn’t feasible in stand-alone systems.” Blume Digital Platform enables this network of networks to make best use of machine learning-driven automation and optimization.

In addition, Gartner published a report in August 2018, “Don’t Believe the Control Tower Hype – Buyer Beware,” noting, “These additional capabilities should include the consumption of extended digital signals (e.g., Internet of Things [IoT]) as well as the leveraging of planning capabilities at various levels of granularity and time horizons to continuously learn, generate insights and recommendations. Ideally, this would enable leveraging “cognitive intelligence” to sense demand and adjust supply in real time, supporting supply chain organizations in their journey reaching the upper echelon of supply chain maturity and supporting supply chain convergence.” Blume solutions leverage IoT and other advanced technologies to automatically match demand and supply for assets, transportation legs and truck power.

Read More: Insurtech: the new AI disruption is hitting insurance

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