Abstract: A system is provided that includes a distributed database system (DDS) and a cloud computing platform that includes a reward system. The DDS includes a network of blockchain nodes that collectively store a distributed ledger of a blockchain. The DDS can also store a pool of digital crypto tokens for an organization and control distribution of the digital crypto tokens to users associated with the organization via a smart contract module that validates transactions involving the digital crypto tokens using smart contracts for each transaction to directly control peer-to-peer transfer of transferrable digital crypto tokens between the users under certain conditions. The reward system includes a reward module that can issue granted digital crypto tokens to users as a reward when they perform certain tasks. Each granted digital crypto token quantifies time spent performing a certain task and serves as a currency within the organization.

Abstract: A system may predict a category identifier for a work item to improve inefficiencies and errors in assigning work items to particular teams or team members. The system may predict a category for the work item based on receiving a text description of the work item, an identifier associated with a team category, and an identifier associated with a product tag category. For example, a prediction model may be selected based upon any one or more of the received input, and the prediction model may predict the category identifier for the work item. Because the category identifier may be predicted based on the input received, a wide range of category identifiers may be predicted, resulting in a more streamlined and accurate system for assigning work items.