Online data warehouse for defining processes and managing orders, trackers, etc
AI-powered future workload forecasting
Rules and optimization engines for automated scheduling
Efficient schedule editing and shift management for daily operations
WHAT WORKOFO CAN DO
Forecast workloads taking into account promos, salary after/before weeks, weather, custom events.
Use own predictions for selected operations, like incoming number of pallets.
Estimate required number of employee to maintain required service levels for each location. Reallocate or borrow/lend your employee hours based on this information.
Optimize customer service with right mix of employee skills. Example, in a store with multiple departments, employees may cover 1-2 departments + cash desk. Workofo chooses optimal mix of competences at each time moment.
Account for different employee speeds. Example, new employee works with lower speed and cannot be left alone at specific activities.
Split shifts and optimize other activities together with flexible tasks within predefined time and competences requirements. Example, work 5 hours with customer service, and move to load shelves or work on management tasks next 3 hours.
Optimise across multiple departments or locations within given employee sharing and preferences constraints. This ensures automated service level balancing between different locations. Especially usefull for pools of 50-300 employees.
Manually borrow and lend employee specific days between different stores (mobile workers) to cover unexpected leaves or uncovered demand. Optimise long term lent or multiple contract employees automatically, taking into account multiple work locations. Very useful for business with small teams and mobile workers to cover unexpected needs.
For shift managers: smarts tips for daily schedule changes. The system suggests automated best shifts when making daily changes.
For Operations Managers: Experiment with very flexible business rules engine to find out process improvements and new optimal ways to allocate you employee hours.
99% satisfied Business Process Rules.