DotModus Case Study

Steering through COVID-19 and navigating a new tech landscape

The speed of change in transport and logistics — hastened by the impact of the pandemic — demands agile responses from companies, informed by up-to-the-second data. Logistics companies are turning to machine learning algorithms to identify patterns in vast streams of data, empower smart decisions and optimise back office, operational and customer-facing activities.

Demand and capacity planning

using algorithms to predict customer demand for predictive shipping.

Route optimisation

optimising long-haul and last-mile routes to make delivery more efficient and save money.

Network management

predicting transit times—including delays—across freight lanes.

Back-office automation

using cognitive intelligence and machine learning to accurately extract information from invoices, photographs, forms, and waybills.

Support

AI-powered chatbots and other sophisticated self-service solutions.