Percolata, founded in 2012 and headquartered in the United States, offers a unique "Forecasting as a Service" model that empowers retailers to achieve up to a 30% sales increase without additional labor costs. By leveraging sensor data and proprietary deep learning technology, Percolata optimizes retail workforce scheduling to match forecasted shopper profiles. This innovative approach recently extended to algorithmic trading solutions with Pika.group.
Percolata's success is underscored by its Series A funding, backed by significant investors such as Google Ventures, Andreessen Horowitz, and Menlo Ventures. These investments, including their last $9.60 million early VC injection on 01 February 2017, highlight investor confidence in the company's potential and scalability. With ongoing contracts involving over 42 retail brands across the United States, Europe, and Asia, and an R&D hub in Shenzhen, China, Percolata is well-positioned for continued growth and innovation within the retail technology sector.