
9/21/2017
What this post added
This post details how Coca-Cola leveraged TensorFlow and machine learning to build a mobile proof-of-purchase system. It describes the system's architecture, including the use of TensorFlow Lite for on-device inference, image processing pipelines for receipt capture and validation, and the integration with backend services for fraud detection and reward fulfillment. The post highlights the technical challenges faced, such as achieving high accuracy with diverse receipt formats and ensuring low latency for a seamless user experience, and the solutions implemented using TensorFlow's capabilities.