Preparing OperlyWorld
Preparing OperlyWorld
You are the Operations Manager at Northstar Logistics. Friday afternoon is broken. Watch OperlyWorld detect the problem, explain the tradeoffs, and produce a better workforce plan.
Demo workspace resets on refresh. It never reads or writes customer data.
Tilburg Distribution Center has 80 employees across eight departments. The demo includes contracts, skills, availability, vacations, performance, trainers, team leaders, and shift preferences.
The manual schedule appears complete until the operation is analyzed by coverage, trainer availability, experience balance, overtime, and skill fit.
Manual plan risk scan
Picking has eight assigned employees, three are new, and no trainer is present.
Forecasted order volume requires eleven Picking associates. Only eight are scheduled.
Two team leaders are projected above contract hours if the manual schedule stays unchanged.
Packing has surplus afternoon capacity while adjacent Picking is below target.
The demo planner scores coverage, preferences, skills, experience, trainers, team leaders, fatigue, overtime, productivity, and labor cost.
Drag employees between shifts, open employee cards, apply AI recommendations, and export the current demo schedule.
Coverage, risk, productivity, labor cost trend, availability, vacations, forecast, heatmap, and recommendations stay in one operating view.
All outcomes below are illustrative demo values, intended to show the type of operating improvements a pilot would validate.
Spreadsheet, messages, supervisor memory
AI workforce intelligence
Start with one site, real constraints, and a 2-4 week pilot. Validate planning time, schedule quality, manager feedback, and operational risk visibility.