Date Range Planning for Optimizing Jobs Over 30 Days or More

What this means for distribution businesses

Single-day optimisation misses the bigger picture. Date range planning lets the engine consider 30 days or longer in one go, assigning each task to the day and operative where it fits most efficiently. A courier operation with hundreds of next-week deliveries does not need a planner manually deciding which day each parcel moves — the optimizer clusters tasks by geography and capacity across the full range. Grocery distributors with flexible delivery windows get tighter routes because the engine can shift an order from a packed Tuesday to a quieter Wednesday where it sits on an existing route. For wholesale distributors managing standing orders alongside ad-hoc requests, range-wide optimisation slots new business into the days and routes where it costs the least to serve.

What this means for field service businesses

A pest control business with 400 quarterly inspections due this month does not need a dispatcher choosing which day each visit falls on. Date range planning lets the optimizer assign every task to the best day and operative based on location, skills, and availability across 30 days or longer. HVAC companies scheduling a backlog of annual boiler services get tighter routes because the engine clusters nearby jobs onto the same days automatically. Electrical contractors with a mix of urgent callouts and scheduled maintenance can lock priority jobs in place and let the optimizer fill the remaining capacity efficiently. For facilities management teams, range planning turns a month of reactive and planned work into an optimised schedule without manual day-by-day allocation.

How it works

• Select a custom date range of up to 30 days or longer for a single optimisation run
• The engine assigns each task to the optimal day and operative based on location, capacity, time windows, and skills
• Tasks with flexible delivery or service windows are shifted to the day where they create the tightest routes
• Fixed-date tasks are respected as constraints while the optimizer fills around them
• A driver-by-day matrix shows the resulting plan with utilisation, task count, and capacity at each intersection
• Drag and drop to make manual adjustments, then re-optimise to rebalance
• Export the full range plan with customisable field presets for reporting or downstream systems