BAKU, Azerbaijan, June 3. Weak data sharing
hampers development of artificial intelligence (AI) in logistics,
Chairman of the Board of Directors of the Lithuanian Transport
Innovation Association, Jurgis Adomavičius, said at the 2nd Caspian
International Transport, Transit and Logistics Forum held in Baku,
Trend reports.
According to him, AI cannot work effectively without the human
factor, and for the correct use of technologies, the training of
human resources is first of all important.
Adomavičius noted that in modern times, the concept of
artificial intelligence is often confused with robotic
technologies, and therefore it is important to correctly determine
which tool should be applied in which field.
He said that one of the main problems in the field of
international logistics is the quality of data and the inadequacy
of information exchange mechanisms.
“AI can work effectively only if there is a quality database.
This data must come from governments, customs authorities, and
systems of transit countries. However, in many cases, customs data
is incorrect, and there are no data exchange protocols between
countries,” he emphasized.
According to Adomavičius, the customs brokerage company he leads
processes about 40,000 orders per month, and thousands of orders
are received on Friday evenings alone. The main goal here is to
quickly determine the possibilities of trucks moving along the
Trans-Caspian route.
He noted that although the company previously invested hundreds
of thousands of euro in the automation of logistics processes, it
was not possible to achieve the desired results due to poor-quality
data.
“We have been working for two years to make our database
suitable for artificial intelligence. Currently, AI can analyze
transport documents, CMRs, certificates, and other information and
assess the suitability of routes,” he added.
Adomavičius also said that without information exchange systems
and a proper database, artificial intelligence cannot have the
expected effect in the logistics sector.
