Artificial Intelligence (AI)
AI in Digital World refers to the mimicking of human intelligence in machines using data, to think and execute the actions that are programmed and repetitive, while using available structured, semi-structured, and unstructured data or even sometimes without historical data.
Shipping, Transport and Logsitics industry by its very nature generates humongous amount of data that can be used for Machine learning.
The imbalance between demand and resource availability and inadequate information visibilty are the major challenges for transport and logistics service providers. AI/ML has the capabilities to enable logistics industries to use real-time data in their demand and forecasting formulation.
In the near future eBMS Digital operations solutions would embed intelligent algorithms and AI techniques across 15% -20% of the work flows.
Predictive analytics for container inventory
management, empty repositioning are areas of focus by eBMS.
Similar predictive analysis for estimating customer demand
based on historical structured as well as current unstrcutured
data are being worked on in the Techonlogy Center of
Excellence in eBMS
Using NLP (Natural language process) eBMS will be
launching voice based Enquiry and Shipment tracking
information, taking customer service to highly personalised
levels.
For LCL logistics eBMS would also build models
for Container stuffing optimization, Route optimization and
cost optimization. With the high volumes of eCommerce and rise
in LCL shipping, predicitive analystics would enable logistics
service providers better control on their operation while
freeing their team to focus on customer relationship and sales
activiites.