A cloud-based labor standards platform helping large retail networks benchmark, plan and track workforce performance.
Labor planning in the retail industry is often challenged by inaccurate task duration estimates, inconsistent performance metrics, and disconnected data systems.
LaborPro emerged as a cloud-based platform aimed at transforming workforce management by applying industry-specific labor models and integrating with existing workforce management systems.
Designed for large retail networks, LaborPro supports efficient labor allocation, real-time productivity tracking, and data-driven decision-making.
LaborPro provides a scalable labor standards platform that enables businesses to build, manage, and apply performance models across thousands of retail locations.
It allows consultants and operations teams to define, benchmark, and optimize labor expectations for various in-store activities—such as checkout processes, shelf restocking, and customer service—based on industry norms.
The platform integrates with existing HR and WFM systems to streamline execution and reporting.
Every operational bottleneck reported was matched to the workstream(s) that resolved it.
Retail activities like point-of-sale (POS) transactions lacked standardized timing metrics, leading to overstaffing or understaffing.
Integrated industry-standard time benchmarks for activities like POS operations, stocking, and cleaning, refined through real-time data inputs.
Managers had no consistent way to measure workforce output against industry standards.
Leveraged MS SQL Server 2017 for data analysis and performance comparison, helping retailers identify improvement areas.
The absence of real-time performance data hindered quick decision-making.
Delivered live productivity dashboards through a ReactJS interface, providing users with intuitive, actionable insights.
Manual and disjointed inputs created gaps in workforce analytics and process improvement efforts.
Built using .NET MVC, the platform enabled centralized labor model configuration, scheduling, and task allocation.
Without automation, workforce planning required extensive effort and often lacked precision and agility.
Built using .NET MVC, the platform enabled centralized labor model configuration, scheduling, and task allocation.
Widely used by operational consultants for performance analysis across thousands of retail locations, supporting both field audits and strategic planning.
Labor time estimations aligned with industry benchmarks enabled more precise scheduling and labor allocation.
Managers could track employee performance relative to predefined standards, fostering accountability and improvement.
Real-time insights allowed for quick adjustments in workforce strategy during peak and off-peak periods.
Automation replaced time-consuming manual processes, enabling HR and operations teams to focus on strategic planning.
The platform supported expansion across thousands of store locations with consistent performance and minimal IT overhead.
