Reimagining Shipping Through Machine Learning and Data Science
HCLTech redesigned operating systems to improve predictability and CX for a global logistics provider
An American multinational delivery services company experienced significant challenges, including shipment delays, incorrect documentation, and customer dissatisfaction resulting from package content misclassification. To address these issues, the company sought an AI-based solution for predictive shipment classification and reducing delays. With HCLTech as their paner, the client sought to implement a strategic transformation exercise. This involved the establishment of a big data platform, automation of model testing and comparison, and the development of tools and processes to handle large volumes of text. The adoption of machine learning models resulted in reduced manual effos, improved scalability on a global level, enhanced processing design, and decreased development time for new models.