Logistics
Data analysis and AI can help logistics organisations predict potential supply chain problems and to optimally transport a shipment based on insights derived from Big Data.
Intelligent systems can analyse and interpret huge datasets to provide timely feedback on meeting supply and demand in the logistics chain and thus reduce operational costs.
Supply chain analytics help a business predict better future demand, thus helping in deciding which product lines would need more supply and which need to be reduced.
Some of the use cases of AI in Logistics include
– Robots and AI in Logistics
– Warehouse Management
– Predictive Maintenance
– Route optimization
Route Optimization
Analyse existing routing and optimize routes using graph analytics
Customer Service Chatbots
Automate low-to-medium call centre tasks and learn about customer behaviour
Dynamic Pricing
AI in logistics has now become a necessity. With the growth of eCommerce, AI in logistics can help you easily expand your operations and increase productivity.
AI in Logistics
With the growth of the eCommerce sector, Big Data Analytics in Retail Market can help improve performance of your online stores and generate more revenue
Take the next step
Our data experts run a series of consultations with your organisation to help understand your existing data processes and requirements. They translate the task into a concrete problem, figure out which data analysis services will be best suited to solve your problem and then form a comprehensive strategy to give a perfect solution to the task at hand.