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14 February 2022updated 17 Feb 2022 11:35am

7bridges Launches AI-Powered Logistics Platform to Automate Logistics Supply Chains

Concept: British startup 7bridges has launched an AI-powered logistics platform to automate the logistics supply chain. It combines data from a company’s supply chain, operations, and logistics to provide optimum recommendations for how to transfer goods to a customer. Users can leverage 7bridges AI technology to model and implement new fulfillment strategies, quickly scale operations in new regions and product sectors, and instantly react to supply and demand shocks.

Nature of Disruption: The logistics platform gives users complete visibility and control over business logistics expenses, operations, and outcomes. It comprises three interconnected layers: User Interface (UI) and flexible Application Programming Interface (API), AI Logistics Engine Optimisation (LEO). Also, 7bridges’ worldwide network of suppliers and partners. LEO powers the platform, which can enable businesses to complete order fulfillment efficiently. The platform unifies all logistics data and processes and makes them accessible through a single, simple UI or API. Businesses can have better visibility and control over expenses, operations, and performance. It consists of eight modules, each of which is meant to optimize a specific aspect of logistics and is accessible through an intuitive interface.

Outlook: 7bridges aims to simplify complex supply chain logistics with its AI-based automation platform. LEO is built to be flexible and adaptable, and it can react quickly to supply or demand shocks, such as the COVID-19 pandemic. While others struggle to adapt their outmoded, rules-based processes, this allows businesses to foresee, model, and respond swiftly to a change logistics landscape to maintain service levels and assure profitable business growth. Maersk and 7bridges aim to collaborate to integrate Maersk’s logistics and shipping data into 7bridges, making it easier for Maersk clients to manage their logistics.

This article was originally published in Verdict.co.uk

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