Route optimisation for tourist transfers: GRAND CLASS implements LOGISPLAN

GRAND CLASS, a leading provider of tourist transport and transfer services, has decided to evolve its logistics management with LOGISPLAN, the route optimisation software developed by Evolution Algorithms.

The aim is to improve distribution efficiency, reduce transport costs and achieve more agile, controlled planning across the fleet and resources.

A growing route-planning challenge

Pressure to improve margins and service quality led GRAND CLASS to rethink how it plans and carries out its distribution operations.

Transfer services must synchronise flights, collection times, vehicle types and driver availability in highly variable operations.

The main challenges identified included:

• Coordinating flight, collection and drop-off schedules.
• Assigning vehicles and drivers subject to availability constraints.
• Replanning quickly in response to last-minute changes.
• Ensuring punctuality and a high-quality passenger service.

A project based on real data

After an initial meeting with the Evolution Algorithms team, LOGISPLAN was presented with a focus on analysing the company's specific operational challenges.

LOGISPLAN made it possible to automate the planning and optimisation of tourist transport services.

Using this information, the technical team prepared different optimisation simulations and scenarios to confirm that LOGISPLAN was suitable for meeting the company's logistics-planning needs.

What does LOGISPLAN bring to logistics optimisation?

LOGISPLAN is advanced route optimisation software designed for the transport and logistics sector. The system automatically calculates the optimal routes and loads for each vehicle in the fleet, taking into account multiple constraints and operational variables.

The solution can take into account factors such as:

• Delivery and collection time windows.
• Vehicle capacities and types.
• Technical and regulatory constraints.
• Operating costs.
• Driver schedules.
• Load optimisation.
• Fixed, scheduled or charter services.

LOGISPLAN also integrates with the company's ERP systems and corporate platforms, enabling automated information exchange and full automation of the planning process.

Project objectives

GRAND CLASS's adoption of LOGISPLAN is part of a clear roadmap:

• Automating the planning and optimisation of transfer services.
• Improving vehicle and driver utilisation.
• Reducing operational planning times.

Expected results and benefits

With LOGISPLAN in production, GRAND CLASS expects to consolidate a more predictable, efficient operation that can adapt to day-to-day changes.

The main expected benefits include:

• Greater punctuality for collections and drop-offs.
• Better use of the available fleet.
• Less manual work in the day-to-day management of services.

The use of advanced optimisation algorithms also makes it possible to analyse multiple scenarios and identify more efficient operating configurations, helping the company size its logistics resources correctly.

Technology for more efficient logistics

GRAND CLASS's commitment to logistics optimisation solutions reflects the growing importance of digitalisation and automation in the transport and distribution sector.

By implementing LOGISPLAN, the company takes another step towards logistics management that is more efficient, sustainable and ready to meet the sector's current challenges.