The Route Scheduling & Optimization module in iBisTMS is designed to transform logistics planning from a rigid process into a dynamic, data-driven mechanism based on real operational constraints.

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Route Scheduling built for real logistics constraints

The Route Scheduling & Optimization module in iBisTMS supports transportation planning by aligning routes with real logistics constraints.

Route planning decisions are based on vehicle capacity (weight, volume, and dimensions), delivery and pickup time windows, inventory availability by location and product, and loading requirements.

By integrating data from warehouses and existing enterprise systems, iBisTMS ensures that route plans are consistent with loading and unloading activities, supporting coordinated execution across the logistics network.

In a transportation management system, route scheduling is a planning function, not a navigation tool. iBisTMS uses route scheduling to help logistics teams create transportation plans that are operationally feasible and aligned with inventory and warehouse operations, reducing mismatches between planning and execution.

Capacity-aware route planning

Routes are planned using vehicle capacity constraints. This includes weight, volume, and loading limits, to ensure transportation plans can be executed as scheduled.

Time-window and inventory alignment

Delivery and pickup schedules are aligned with defined time windows and real inventory availability, by product and location.

Warehouse-coordinated execution

Route plans are synchronized with warehouse loading and unloading operations to support consistent logistics execution across locations.

Key Features

Everything you need to maximize route scheduling in a Transportation Management System

Capacity Constraints

Capacity Constraints

  • Supports route planning based on defined vehicle capacity constraints, including weight, volume, and dimensional limits.
  • Ensures planned routes respect vehicle capacity rules when creating transportation plans.
Time Windows

Time Windows

  • Incorporates delivery and pickup time windows into route scheduling.
  • Accounts for customer-defined delivery windows and operational working hours during transportation planning.
Internal and External Fleets

Internal and External Fleets

  • Supports route planning across internal fleets and external transportation partners.
  • Allows transportation plans to consider availability and predefined operational rules when assigning routes.
Packing Optimization

Packing Optimization

  • Supports loading configuration planning based on product dimensions, compatibility, and handling requirements.
  • Helps align route plans with loading constraints defined for vehicles.
Warehouse Scheduling

Warehouse Scheduling

  • Aligns route planning with warehouse loading and unloading schedules.
  • Supports coordination between planned transportation routes and warehouse operations.
Stock Availability Calculation by Location and Product

Stock Availability Calculation by Location and Product

  • Uses inventory availability data by location and product during route planning.
  • Helps ensure transportation plans are aligned with available stock across logistics locations.

Operational Planning and Control

Supporting consistent, scalable logistics planning across complex transportation networks.

Structured Route Planning

Supports structured route planning based on real operational constraints, including capacity limits, time windows, inventory availability, and warehouse schedules.

Resource-Aware Planning

Allows transportation plans to account for vehicle capacity, availability, and predefined operational rules when scheduling routes.

Coordinated Planning and Execution

Aligns route planning with warehouse operations and logistics processes to support consistent execution across the transportation network.

Support for Large-Scale Logistics Operations

Designed to support transportation planning in complex logistics environments with multiple locations, high volumes, and diverse operational requirements.

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