Dashboards
Wasted time (26.7 h → 6.9 h) −74.2%
Driving time
removed by optimization · 4.2 h still on the road · 9.6 hDriving cost per job
For leadership & executive teams
See field efficiency before you decide anything
Allocator gives leadership a direct view of driving time, idle hours and the money tied up in capacity — without waiting for monthly reports or asking the dispatch team.
Average results across Allocator customers
−31% driving
+18% billable hours
−50% time spent planning
Sample calculation · one service day
The same numbers, the way leadership would see them on a dashboard
Scorecard
- −25.0%
- −30.4%
- −36.7%
- −36.7%
* Wasted time = paid shift time that goes neither to tasks nor to driving. One customer's service day, planned two ways — indicative, not a promise of results. Actual results vary by industry and starting point.
Dynamik Allocator for mobile work operations
In any business where people, vehicles or teams move between customer sites, operational performance is decided before the work begins.
The critical question is simple:
Are we sending the right person, vehicle or team to the right place, at the right time, with the right capacity and requirements, in the most profitable way?
Dynamik Allocator helps companies improve the efficiency of mobile work by optimizing how tasks, people, vehicles, routes, time windows, capacity and constraints are planned. It gives leadership a practical way to reduce operational waste, increase capacity and improve execution quality without replacing existing ERP, WFM, TMS or field service systems.
Allocator works as an optimization layer on top of the systems already used in the business.
Not another IT project
Something you can test before you commit to anything
No rip-and-replace
Allocator runs as an optimization layer next to the ERP, WFM or field service system you already use. Nothing to migrate.
Start with one team
A pilot can run against a single region, depot or service line — real data, no company-wide rollout.
See the comparison before deciding
You get a side-by-side of the current plan and an optimized alternative before any commercial discussion.
The challenge in mobile work
Most companies already have capable supervisors, dispatchers and planners. They know the customers, field teams, vehicles and operational realities.
The challenge is not lack of expertise. The challenge is complexity.
When a business has dozens or hundreds of tasks, multiple employees or vehicles, customer-specific time windows, skill requirements, capacity limits, absences and last-minute changes, the number of possible planning combinations becomes too large for manual work.
A human planner can create a good plan.
Allocator helps create a better plan faster.
For leadership, this means the organization can move from experience-based planning toward data-supported decision-making, without removing human judgment from the process.
One platform for different field operations
Dynamik Allocator supports several industries where work is distributed across locations:
- Cleaning and facility services
- Service and installation
- Maintenance operations
- Field service
- Logistics and transport
- Home care and mobile services
- Security, inspection and technical services
- Equipment service and replenishment
- Multi-site customer operations
The details differ by industry, but the business problem is similar:
How do we use our people, vehicles and working time more efficiently while still meeting customer promises and operational constraints?
What Allocator optimizes
Allocator can take into account the constraints that define real operations. These may include:
- Task locations
- Route order across the day
- Worker and vehicle availability
- Skill requirements
- Customer time windows
- Pickup and delivery stops
- Vehicle capacity
- Load and delivery quantities
- Recurring visits and their intervals
- Task durations
- Working time and overtime rules
- Where the day starts and ends — home, depot or warehouse
- Tasks restricted to named workers, for example for access permits
- Vehicle and equipment requirements
- Preferred and familiar workers
- Absences and same-day changes
This makes the optimization practical, not theoretical. The goal is not to create the shortest route on a map, but the best executable plan within real business constraints.
From manual planning to optimized decision-making
In many organizations, daily planning still depends heavily on manual work.
Supervisors build schedules. Dispatchers group routes. Service managers adjust calendars. Field leaders react to sick leaves. Customer service offers appointment times. Logistics planners balance loads and delivery windows.
This work is necessary, but much of it is repetitive and computationally complex.
Allocator changes the workflow.
Instead of starting from a blank calendar or order list, the planner receives an optimized recommendation. The human then reviews, adjusts and approves.
The result is a more scalable operating model:
Before
The organization depends on manual planning capacity and individual experience.
After
The organization combines human expertise with algorithmic optimization.
What this means for leadership
-
Improve capacity utilization
+18% billable hoursThe most important leadership question is often not "how do we reduce cost?" but "how much more could we do with the same resources?"
Allocator helps identify hidden capacity by reducing unnecessary travel, poor sequencing, fragmented schedules and inefficient task allocation.
In cleaning and facility services, this may mean more customer sites served by the same team. In service and installation, it may mean more jobs completed per technician. In logistics, it may mean more deliveries per vehicle or driver day.
Across industries, the business impact is the same: higher output without the same increase in headcount, vehicles or supervision.
-
Reduce non-productive time
−31% drivingEvery mobile operation has non-productive time: driving, waiting, backtracking, manual planning, unnecessary depot visits, inefficient route order, or time spent solving avoidable conflicts.
Allocator helps reduce this waste by optimizing the sequence, assignment and timing of work.
For leadership, this directly affects gross margin. If field employees, drivers or technicians spend less time on non-billable movement and more time on productive work, the whole cost structure improves.
-
Support growth without linear cost increase
−50% time spent planningGrowth often creates operational strain. More customers mean more tasks. More tasks mean more planning. More planning means more supervisors, dispatchers or manual coordination.
Without optimization, growth can make operations more complex faster than revenue improves profitability.
Allocator helps companies scale by making planning work more efficient and consistent. This allows the business to grow without increasing planning effort, fleet size or field resources at the same pace.
-
Manage exceptions and changes faster
No mobile operation runs exactly as planned. Employees get sick. Vehicles are delayed. Customers change times. Urgent tasks appear. Jobs take longer than expected.
Allocator helps supervisors and dispatchers replan when the day changes. Instead of manually rebuilding the plan, they can run a new recommendation for the affected tasks, vehicles or employees.
For leadership, this improves operational resilience. For customers, it improves service reliability. For field teams, it reduces confusion and last-minute firefighting.
Improve customer promise management
In many industries, the customer promise is made before operations has fully understood the cost.
A salesperson agrees to a service window. Customer service books an appointment. A logistics customer requires a delivery slot. A new cleaning customer is added to an existing portfolio.
Allocator helps companies evaluate operational fit before committing.
This enables better decisions at the first customer interaction:
- Which appointment windows should we offer?
- Which delivery time is feasible and efficient?
- Where does this new customer fit into the existing portfolio?
- Which technician or team should serve this customer?
- What is the operational cost of the promised time window?
The result is a stronger connection between sales, customer service and operations.
Industry examples
Cleaning and facility services
In cleaning and facility services, optimization improves how recurring customer sites are allocated to employees and time windows.
Allocator can help identify the best service window for a new customer, reorganize existing customer portfolios where flexibility allows it, and manage absences by recalculating the plan based on who is actually available.
Better use of working time, less travel between sites, more balanced workloads and improved profitability of recurring contracts.
Service and installation
In service and installation, Allocator helps assign the right technician to the right job based on skills, location, availability and customer requirements.
It supports daily and weekly scheduling, appointment booking, urgent job handling and replanning when jobs take longer than expected.
More completed jobs per technician, lower travel waste, better control over promised times and less manual dispatching.
Logistics and transport
In logistics, Allocator helps optimize vehicles, routes, pickups, deliveries, capacity and time windows.
It can consider load quantities, vehicle capacity, pickup and delivery stops, special customer requirements and vehicle limitations.
Fewer unnecessary kilometers, better fleet utilization, faster dispatching and more reliable delivery execution.
Maintenance and field service
In maintenance and field service, work often includes recurring tasks, urgent tickets and skill-based assignments.
Allocator helps combine preventive work and reactive work into a plan that respects agreed visit intervals and technician skills.
Better technician utilization, fewer missed visits and improved control over service backlogs.
Results that matter
Allocator's value should be measured in business outcomes, not just route improvements. Relevant KPIs include:
- Reduction in driving time
- Reduction in kilometers
- Increase in completed tasks per employee or vehicle
- Reduction in manual planning time
- Improvement in capacity utilization
- Reduction in overtime
- Reduction in subcontracting need
- Fewer missed visits on recurring agreements
- Higher route density
- Lower cost per task, visit or delivery
- Better forecast of required resources
- Improved ability to absorb growth
In mobile work operations, even small percentage improvements can create large annual impact because the same inefficiencies repeat every day.
A 10% improvement in travel efficiency, task sequencing or planning productivity is not a one-time saving. It compounds across weeks, months, regions and teams.
Reporting
See what the field did — and what it cost
Pick a period and the locations you want to review, and a board of key figures sums it up: completed tasks, distance driven, travel costs, and how total working time divides into task time, driving time, free time and the rest.
Every figure arrives compared against another period — the one before it by default, or one you choose yourself. The weekly report spreads the same work out per worker per day, and on service agreements it groups every subject from on schedule to overdue, with the last visit, the working days remaining and the next visit once it is on the calendar.
Working time here means the time scheduled, not the time spent — Allocator reports the plan, it doesn't surveil the crew.
-
Key figures, not exports
The numbers are the view. Nobody assembles them by hand into a spreadsheet at the turn of the month.
-
Compared, not just counted
A total on its own says little. Every key figure is shown against a comparison period — the previous one, or one you pick and keep.
-
SLA visits, before they slip
Service-agreement subjects are grouped from on schedule to overdue, and the time left is counted in working days, so weekends don't eat into the interval.
Save planning time
One of the most underestimated benefits is the time saved by supervisors, dispatchers and planners.
In many companies, experienced planners spend hours every week building schedules, assigning work, checking time windows, balancing workloads and reacting to changes.
Allocator reduces this manual work by creating an optimized first proposal.
This does not eliminate the planner's role. It makes the planner more effective.
The planner can spend less time constructing the basic plan and more time on:
- Exception handling
- Customer communication
- Field team support
- Quality control
- Capacity planning
- Continuous improvement
- Managing risk before it becomes a problem
For leadership, this improves both productivity and scalability.
It also reduces operational dependency on a few experienced individuals.
Human expertise, powered by optimization
Allocator is not designed to remove human judgment from operations.
The best operating model is human expertise supported by optimization.
The system handles the computational complexity: routes, time windows, capacity, skills, constraints and combinations.
The human handles business judgment: customer relationships, exceptions, local knowledge, employee context and final approval.
This combination creates a stronger planning process than either one alone.
A practical way to start
The best way to start is with a limited optimization test — not a system rollout.
A company can select one region, team, depot, service line or business unit and compare the current plan against an optimized alternative, using real historical data and no changes to existing systems.
The test can answer practical business questions:
- How much driving time or distance could be reduced?
- How much manual planning time could be saved?
- Could the same work be done with fewer vehicles, fewer hours or less overtime?
- How much additional capacity exists in the current operation?
- Which constraints create the biggest inefficiencies?
- Which customer promises are expensive to serve?
- Where would a wider rollout create the strongest business impact?
This gives leadership a concrete, data-based business case before making a broader implementation decision.
Frequently asked
Common questions from leadership teams
Is this a large IT project?
No. Allocator runs as an optimization layer alongside your existing ERP, WFM or field service system. There is no migration and no rip-and-replace.
How do we validate it before committing?
Start with a limited pilot on one team, region or service line, and compare your current plan against an optimized alternative using your own data.
Does it replace our supervisors or dispatchers?
No. It gives them a stronger starting point. Final review, exceptions and customer judgment stay with your team.
How long does a pilot take?
A pilot is scoped to a single team, region or service line and compares your current plan with an optimized alternative — a calculation exercise on your own data, not a system rollout, so it does not follow an IT-project timeline.
Allocator has increased our operational efficiency and made our operations more environmentally friendly.
