Leading AI-Enabled Workforce Management Solution

Today the enterprises suffer from inefficient deployment and management of their scarce, multi-skilled, and demanding workforce. The challenges include the high labor expense, sub-optimal labor forecasting, and scheduling, substantial fines for non-compliance of regulatory and union rules, inconsistent quality of service, poor work-life balance, pay calculation errors, and limited enterprise-wide workforce information. These challenges have adversely impacted cost-efficiency and seriously constrained profitability.

Most enterprises have been relying on a variety of manual paper-based processes and transactional or rules-based software systems to deploy and manage their workforces. Rules-based systems do not take account of any high-level objectives (i.e. quality of service, fairness, cost, etc.), can not cope with conflicting requirements (i.e. rules do not allow conflict), and function poorly with significant resource constraints, they rarely, if ever, can create a useful solution in a complex and dynamic environment.

WFO transforms the complex task of workforce management for the enterprise into a synchronized, well- managed and optimized process. Unlike other approaches that employ time-consuming manual techniques or rules-based algorithms to generate simplistic schedules, WFO employs machine learning and breakthrough mathematical techniques that rapidly synthesize and process complex workforce factors to automatically create accurate forecasts, optimized schedules, and task deployment plans.