How modern AI can solve problems in the logistics industry

SM Stationary Branding Mock Up (Volume I)

In this logistics case study learn how the courier, parcel, and express mail division of a large logistics company worked with Automation Hero to help improve its customer experience around price quote requests with the help of intelligent data recognition. 

The problem: the logistics company was receiving price quote requests through a variety of methods and channels such as email, personal notes, fax, and phone. Workers were responding to such requests individually and manually, which took hours away from more critical, high-value work. 

Another problem: the structure and information level of these customer requests varied widely. For example, if a customer was requesting the price for sending a package from Frankfurt to Hamburg, sometimes the request included the price of the package, sometimes not. And, simply determining how to respond to a customer took so long that customers grew impatient, or they got angry that their request never got a response at all. The long wait times resulted in many negative customer experiences and missed business opportunities. 

Automation Hero used the power of artificial intelligence (AI) in its Hero_Flow platform to create two AI models that solved the company’s problems.



How modern AI can solve problems in the logistics industry

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