BMW

Product safety is a core tenant of BMW’s business and a distinguishing factor among leading luxury vehicle manufacturers. To meet BMW’s rigid standards for quality inspection and efficiently detect manufacturing line defects, we developed a browser application that trains machine learning models to recognize defects and automate the defect labeling process. The application replaced the pre-existing manual inspection creating operational efficiencies and reducing supply chain errors.

After examining BMW’s customer journey, we identified an opportunity to enhance customer loyalty and interactions by simplifying the post-purchase experience. We created an intuitive iOS application to reduce the time sales representatives spent collecting customer information, completing post-purchase tasks, and providing customer support after vehicle purchases. The existing process required sales agents to walk through a tedious checklist of tasks in person, creating a frustrating experience for customers. The mobile sales tool streamlines sales agents’ tasks and automates delivery updates that improve the customer experience.

BMW’s inventory management process, which relied heavily on warehouse personnel to sort and track shipments, was overdue for an upgrade. We worked with their research division to design and create an application that allowed users to quickly scan and identify hundreds of barcodes in a shipment at once. This solution reduces the amount of personnel needed to manually check shipments and reduces inventory management errors.

When the U.S.’s National Highway Traffic Safety Administration updated its standards for vehicle recalls in 2017, BMW’s customer alert system no longer met the criteria. We helped them develop a web application and backend architecture of connected microservices to manage the recall data and send updates to customers in a timely and user-friendly manner.