Inside Logistics

Automated yard and terminal  processes

Nuvoola Inc. has launched LUKE AI for Manufacturing and Distribution Center (MDC)


June 11, 2021
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Nuvoola Inc., a Montreal-based artificial intelligence firm, has a new enterprise solution that automates yard and terminal  processes.

This SaaS solution, called Luke AI for Manufacturing and Distribution Center (MDC), is an intelligent process optimization solution meant to streamline yard operations and increase logistics efficiency. It includes a reservation system for carriers to schedule their time of arrival, an automated check-in and security process for truck drivers, and an intelligent dashboard that displays operational insights and performance indicators.

With its self-serve reservation feature, carriers and shippers can schedule an appointment, and the system synchronizes appointment requests with dock or terminal capacity.

Easily integrated into existing camera infrastructure, Luke AI for Manufacturing and Distribution Centers uses machine vision to digitize and centralize information in real-time such as the arrivals and departures of trucks, trailers, and containers, purchase orders, seal numbers and temperature readings.

At the gate, Nuvoola’s contactless self-serve kiosk can be installed to automate driver’s identification and vehicle identification to reduce check-in time while providing secured access to the site. Once identified, the kiosk tells the drivers where to go, improving the flow of operations and increasing the gate throughput. Paired with the reservation system, this decreases gate congestion and reduces dwell time.

“We’re excited to be able to bridge the gap between transport and warehouse management with an easy-to-implement solution that streamlines yard and terminal operations. Our solution offers full visibility over assets, inventory and shipments allowing companies to increase productivity through automation and better communication between all parties,” said Martin Renière, president of Nuvoola.

“They can increase partners’ satisfaction while monitoring their performance.”