Nice Ltd

Iex Corporation

Charles William Gulledge

Paul Harold Leamon

Iftach Smith

Robert Michael Dvorscak, Jr

Rob Harris Duplantis

Omer Abramovici

A computer-implemented method for optimizing distribution of incentive-budget for additional time interval allocation in a multi-week work schedule is provided herein. The computer-implemented method comprising: (i) training a model to forecast future net staffing; (ii) generating a multi-week work schedule; (iii) using the model to forecast for each time interval a net staffing value; (iv) classifying time intervals as understaffed; (v) displaying the understaffed time intervals to suggest agents to take as additional time interval; (vi) providing a tier incentive structure and an incentive budget to be updated by a user; (vii) training the model to forecast a degree of elasticity of agents demand for each time interval based on historical agents schedule changes; and (viii) calculating a combination of incentives of each tier of the tier incentive structure in the incentive-budget to accommodate understaffed time intervals and maximize agents demand for time intervals based on forecasted degree of elasticity.

Method and system for optimizing distribution of incentive budget for additional time interval allocation in a multi-week work schedule

A work period scheduler includes one or more data processors configured to receive performance data relating to the performance of one or more individual workers from a database. The performance data is then analyzed to identify one or more workers as a leader, a leader being a worker whose presence in a group of the individual workers results in an improvement in overall performance of said group. Work periods, e.g. shifts, may then be scheduled based on one or more skills attributed to one or more workers wherein the one or more skills includes leader.

System and method for work period scheduler

A method is provided for assigning a group of agents to a plurality of available schedules, including determining preferences for a plurality of factors for each agent. Each agent provides an order of importance for the plurality of factors. For each factor, a difference value for that factor between a preliminarily assigned schedule (or pool of unassigned schedules) and each agent's preference for that factor is determined. The difference value for each factor is assigned to a vector for each agent. Then, for each agent, a vector for each schedule not assigned to that agent is determined. Vectors for every other agent are also calculated for every schedule swap involving the current agent. The schedule having the lowest vector is then assigned for each agent.

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Richardson, TX, United States of America

Charles William Gulledge