1,000th model added to self-learning environment

Itemize’s Machine Learning environment now contains over 1,000 individual models that automatically parse digital receipts. “Each model is like a SWAT team,” explains Chief Data Scientist Mike Haley. New models improve the straight-through-processing rate, reduce the number of false – positive receipts and make the core engine smarter. Itemize started with just one model in January 2012.