
AI to keep pace with operations
Artificial intelligence makes it possible to interpret information, connect different sources and respond faster to the changes and incidents that are part of logistics activity.
At LurNova we apply AI to speed up the flow of information and make coordination between processes, teams and systems easier.
In logistics, every operation depends on many others. When something changes, having the right information and acting quickly can make all the difference.
Orders, shipments, deliveries, documents and queries generate a constant flow of information. AI makes it possible to bring that context together and use it to make the next step easier, reducing manual tasks and response times.
When something changes, information has to move
A delivery that changes, goods that do not arrive as planned, a discrepancy in an order or an unexpected request can require checking different systems, reviewing documentation and coordinating several teams.
AI can gather information from different sources, help identify what has happened and provide the context needed to decide how to proceed.
In this way, teams can respond more quickly to queries and incidents, reducing the time spent finding and passing on information.
Fewer steps between a request and its response
Many logistics tasks still depend on emails, documents, queries and manual operations that link one stage to the next.
AI can interpret a request, extract data, query an application, classify an incident or prepare a response. Combined with automation and connection to existing systems, it can also carry certain tasks forward without moving information manually between tools.
The aim is to remove unnecessary steps so that teams can spend less time on repetitive tasks and more on managing operations.
Use cases in logistics and distribution
To gather information related to orders, shipments or deliveries and enable a faster response.
To check status, history and relevant information in response to internal or external requests.
To extract, classify and cross-check information from delivery notes, orders, receipts and other documents.
To interpret requests and route them to the right process, team or information.
To reduce manual movement of information between the different parts of an operation.
To speed up repetitive activities related to orders, shipments, documentation and tracking.
To look up information and use different tools from a single point of interaction.

Frequently asked questions
How can artificial intelligence help in logistics and distribution?+
AI makes it possible to interpret information, connect different sources and respond faster to the changes and incidents that are part of logistics activity, making coordination between processes, teams and systems easier.
Can AI help manage incidents with orders and deliveries?+
Yes. It can gather information related to orders, shipments or deliveries, help identify what has happened and provide the context needed to decide how to proceed.
Can AI process logistics documentation?+
Yes. It can extract, classify and cross-check information from delivery notes, orders, receipts and other documents.
Can AI reduce manual work between systems?+
Yes. Combined with automation and connection to existing systems, it can carry certain tasks forward without moving information manually between tools.
Can AI handle the queries received by the operations team?+
Yes. It can interpret requests, check status and history, and route each query to the right process, team or information.
What do operations teams gain?+
Less time spent finding and passing on information and on repetitive tasks, and more time to manage operations and respond quickly.
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AI applied to the challenges of logistics and distribution
Every logistics operation has its own processes, systems and coordination needs. Tell us which challenge you want to tackle and we will analyse how to apply AI to give it an answer tailored to your organisation.