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Automated real-time job allocation

AI uses real-time incoming demand, combined with historical behaviour & preferences to automate allocation of jobs. Takes into account travel time, idle time, number of employees & geographical distribution of teams & jobs

Determine optimum resourcing by creating and testing multiple resourcing scenarios

Determine optimum resourcing makeup of contractors, in-house teams & inter-geography redistribution of team members and assess impact on budgets, supply / demand matching & overall service levels

Identify critical bottleneck areas through manager dashboard

Flexible dashboard for top-level management to get daily reporting for where to focus time and provides easy to digest, visual display of critical problems

Auto-loaded, optimized schedule through dashboards powered by machine learning

Click each crew to scan their qualifications and understand the logic behind the model’s recommendations. A good starting point for schedulers to keep building on.

Prioritized work orders

Quickly review details for each work order, including high/medium/low priority color coding, and make simple adjustments for over and under capacity alerts.

Quick & simple real-time edits

Get an intuitive interaction with a seamless and streamlined user experience.

Drag and drop orders from the schedule using intuitive interaction to tweak jobs where needed.

Precise schedule management

Get granular information to assist scheduling management. For example, a user can even inspect the travel time between orders to precisely manage the schedule.

Flexible crew management

Get full flexibility in managing the crew data to meet users' daily needs.

A user can input crew preferences that carry through each week. They can also easily ungroup a crew, and even add exceptions for a crew member with different categories and events.

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