Cross-country pickup and delivery gets complex fast—tight timing, long distances, border crossings, overnight layovers. Mapsly supports long-haul route planning with pickup & delivery route optimization that respects strict pickup/delivery availability windows, maximum driving-time limits, and real-world constraints while keeping customers informed.
In real operations this means multi-day routes are built from the same operational data your team already maintains—job duration, preparation time, priority, required skills, required capacity, and max time in vehicle—matched with each driver’s start/finish location, working hours, max driving time, and break rules (hours-of-service style compliance). Vehicle types contribute travel mode and capacity so the route optimization engine produces feasible multi-day pickup and delivery plans without spreadsheets or guesswork.
What this unlocks
Time-aware scheduling: Honor pickup/delivery availability windows and breaks—automatically handled by the planner.
Routes respect earliest/latest arrival times, insert the required break at the right moment, and keep each day feasible against working hours and max driving time, so late-arrival risk is flagged before wheels turn.
Long-haul logic: Create multi-leg routes across regions and borders with overnight stops
Multi-day continuity is preserved with clear start and finish locations for each day. Preparation time and departure delay model on-site processes (loading, paperwork, handoff), while overnight placement keeps the chain intact for the next morning’s leg.
Capacity & constraints: Match vehicle capacity limits such as volume or weight
Vehicle type capacity and required capacity on jobs ensure correct packing; required skills pair the right driver/equipment with the right stop; priority guides sequencing when time windows are tight or cargo is critical.
Single operational view: See drivers, shipments, and waypoints on one map
Dispatch monitors availability windows, remaining drive time, and priorities on a single map—then re-optimizes confidently when plans change, with statuses and results syncing back to the CRM.
Measured impact
📈 +10–25% on-time deliveries under tight windows
Feasibility checks against availability windows and max driving time reduce exceptions while automated breaks prevent last-minute violations.
⏱️ 2–3× faster plan builds for multi-day, multi-country runs
Reusable vehicle types, constraint-aware route optimization, and collaborative planning shorten the path from demand to a validated multi-day route plan.
📉 Lower total hours on the road via time-aware sequencing and long-haul stops
Better overnight placement, capacity balance, and true travel-time modeling (including travel speed factor when needed) cut deadhead and overtime.
Bringing planning, multi-day route optimization, and live status into one map helps teams hit availability windows, respect working hours and max driving time (including overnight stops), and adapt mid-route with confidence—fewer surprises, steadier schedules, and clean CRM write-back from dispatch to delivery.
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