Sales Speed is a distributed predictive analytics engine for all types of data, including textual, numerical, geospatial, structured and unstructured data. Built on the understanding that data is the source of any analysis, it is developed on proprietary Machine and Deep Learning algorithms that analyze heterogeneous data sources such as internal company web scraped data. The data is enriched with external sources or vertical databases for data formatting, data pre-processing and thus improve predictive analysis or for visual navigation and research through a search engine with advanced filters. Sales Speed is a set of tools for data ingestion, enrichment, storage, analysis, visualization, forecasting and prediction. First released in 2020 Sales Speed now works across 3 vertical markets, with over 30 million sku’s on a single database and enables real-time predictive analytics in less than 30 milliseconds. Sales Speed due to its distributed nature, simple REST APIs, speed and scalability is the central prediction component of ERP, CRM, Ecommerce, etc. and can be used to create ad-hoc vertical solutions like Street Price (online car price prediction system for manufacturers and dealers).