ABOUT THIS REPORT AND BD’S FACT BOOK, 31ST EDITION. This report is a snapshot of BD’s newly-published Fact Book, 31st Edition. Fact Book offers a comprehensive view of US liquid refreshment beverage industry sales performance by brands, company, and category. Annually, BD compiles estimated volume and value sales data for the US liquid refreshment beverages (LRB) market, as well as categories including carbonated soft drinks (CSD), and energy drinks. The data included in BD’s Fact Book and in this special issue synopsis estimates beverage sales for all measured and unmeasured channels, including packaged retail, fountain, and vending. The fountain channel includes restaurants, sports and entertainment venues, and other foodservice outlets. In recent years, BD has added chilled juice to the annual Fact Book and to this report. Table 1 does not include an “all other” category and therefore market shares do not sum to 100.

PepsiCo announced last month an initiative with German tech conglomerate Siemens and computer chip maker NVIDIA to create “digital twins” of manufacturing plants and warehouses. The goal is to use AI-backed digital simulation technology to figure out what physical changes to plants and warehouses would best improve speed, quality, and efficiency. According to Siemens, the technology tested in one US Gatorade plant increased throughput by +20% within three months. PepsiCo estimates it could reduce capital expenditures by -10% to -15% by “uncovering hidden capacity and validating investments in a virtual environment” before construction. “This allows the company to optimize existing assets rather than investing in costly new construction,” Siemens said in a blog post about the PepsiCo partnership. BD wanted to understand how digital twins work, so we turned to Niraj Jha, who is the senior director of logistics at Niagara Bottling. His work is focused on how data, automation, and AI are reshaping beverage supply chains. Jha’s team leads large-scale optimization initiatives across Niagara’s national network. Jha has been an outspoken proponent of AI technology in manufacturing and distribution. The following interview has been condensed and edited for clarity: