Inpleo is a small company which develops an AI-based software platform for augmenting existing enterprise software used by large corporations. Our project with them this semester is to build a predictions and analytics engine within Inpleo’s expense reporting system. More concretely, this means designing a multivariate algorithm to predict enterprise behavior based on changes in business rules, such as predicting changes in employee behavior, revenue stream, and general market trends. This algorithm will then be generalized to to predict trends on existing datasets, such as predicting travel behavior, per-category enterprise spending behavior, etc. The project will involve amalgamating machine learning algorithms for pattern matching to build a fully functional end-to-end system wrapped around a model that can be integrated into Inpleo’s existing pipeline.
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