Combining data sources to optimize over 500k deliveries a day
- 5,500+ delivery routes per day
- 145M parcel deliveries per year
- 1M deliveries on peak days
How would those business decisions affect customer satisfaction? Customer loyalty? Yodel is a UK-based parcel delivery company. They perform predictive parcel delivery, taking action in real time to change the course of business. Logistics optimization of over 5,500 delivery routes a day ensures client satisfaction with on-time deliveries.
Combining internal and external data sources including geolocation, weather, time, traffic patterns, parcel data, and customer data. Teradata integrates that data for Yodel, making it available to all business users to find answers they need.
Managing a fleet of over 7,400 delivery vehicles and more than 5,500 driver tours is no easy feat. Weather, detours, traffic patterns, roadside accidents, road conditions, driver habits, vehicle maintenance, and navigator errors can negatively impact the on-time delivery of parcels. Multiply this by 500,000 parcel deliveries per day, 1M on peak days, you have a complex challenge of maintaining superior delivery service. Service delivery that can affect customer satisfaction and loyalty.
Multiple data marts, legacy BI applications, and Microsoft Excel reports were not cutting it. By bringing the data together and simplifying their analytics architecture, Yodel has standard and self-service reporting, ad-hoc analysis capabilities, and insights into logistics optimization. This means Yodel understand and optimizes its delivery costs, routes, and even profitability down to a single package.
By analyzing driver routes and predicting package delivery times against ETA commitments, Yodel performs Activity-Based Costing (ABC) at a granular, individual parcel level. Yodel has seen a 2-3% uplift in their “Xpect Performance,” which is the time window in which they commit to deliver a parcel and maintain the delivery within the time window.
This provides widespread access to accurate, timely data to improve tracking and alert delivery drivers. Which leads to the ability to react to changes in the business, becoming more agile, responsive, and sentient—optimizing logistics with data to inform business decisions. This is pervasive data intelligence.
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