Chronopost International ensures on-time deliveries during peak activity with machine learning predictive analytics
Summary:
Chronopost can ensure on-time deliveries during peak activity with ease of delivery rating for all addresses based on parcel tracking and geographical data provided by Dataiku DSS. The custom solution implemented analyses historical internal delivery and retrieval data using a machine learning interface. The company has increased business intelligence productivity and optimised package delivery operational costs .
Problem:
According to Dataiku's case study, Chronopost's challenge was to ensure on-time deliveries during peak activity. "Chronopost promises that all parcel deliveries in France will arrive by 1pm the day following an order. But as demand continues to grow and especially during critical periods such as Christmas or Mother’s Day, Chronopost wants to make sure they can always keep their promise and deliver parcels on time. With this in mind, Chronopost decided to look for a solution that would help them use and analyze historical data to optimize delivery operations and ensure delivery deadlines."