
Rovigos
AI-powered logistics and supply chain management solutions.
Date | Investors | Amount | Round |
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investor investor investor investor investor investor | €0.0 | round | |
* | N/A | Grant | |
Total Funding | 000k |
Rovigos is a South Korean company, founded in May 2021 by CEO Kim Tae-yong, specializing in digital transformation for the logistics industry. The company provides an AI-based big data integrated management platform to help logistics companies and small- to medium-sized retailers optimize operations and reduce costs. This is achieved through end-to-end supply chain monitoring and forecasting, from the supplier to the retail shelf.
The company's core services are delivered via a SaaS model and include inventory and distribution management. A key product is the 'Fresh Guard' smart container solution, which utilizes IoT, AI, and digital twin technology to monitor cargo in real-time. This system tracks location, temperature, shocks, and other environmental data, which is particularly beneficial for temperature-sensitive or high-value shipments. It can also monitor and manage scope 3 carbon emissions. Rovigos aims to provide smaller retailers with the logistical efficiencies previously only available to large corporations.
Since its founding, Rovigos has secured seed funding from investors including MYSC, The Wells Investment, Yuhan Kimberly, SK Securities, and Star Ventures. The company has gained recognition, receiving accolades such as the 'Super Gap Startups' and the 'Most Promising Digital Start-up' award at Europort 2023. Rovigos has also expanded its operations into Southeast Asia through a contract to supply its inventory management system to Malaysia's Parkson Department Store.
Keywords: logistics management, supply chain optimization, artificial intelligence, big data analytics, inventory management, digital transformation, smart container solutions, freight tech, SaaS, end-to-end logistics, real-time cargo monitoring, cost reduction, carbon emissions tracking, Fresh Guard, digital twin, IoT, maritime transport, retail logistics, fleet management, predictive analytics