Vehicle Estimator and Helpful information

Toyota Hiace Van with Driver

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Van-Pic-s

Van space sufficient for 40 jumbo boxes or equivalent of 2 single mattresses + 1 washing machine + 1 computer table + Single seat sofa + Miscellaneous items (Books, Toys, Fan, Bicycle, LED TV, etc.)

Recommended for room & light moving. Our Toyota Hiace Van is the most popular for students and couples who are planning to do room moving.

Estimated loading and unloading per Van load: 30mins.

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10 Ft Open Lorry With Driver

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10ft-Lorry-Pic-s

Truck space sufficient for Up to 60 Jumbo Boxes or the equivalent of 1 King-Sized Bed + 1 Dining Table + 6 Chairs + Miscellaneous Items (Books, Toys, Fan, Bicycle, LED TV, etc.)

  • The 10 ft open truck is a very versatile vehicle.
  • The open deck is very helpful for odd shape cargo or if you have just 1 or 2 palletise goods that need to be forklifted.
  • It is best for moving within space constrained properties and internal moving in between blocks within the same Condo.

Estimated loading and unloading per truckload: 45mins.

15ft Box Covered Lorry With Driver

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truck-cover-s

Truck space sufficient for Up to 160 Jumbo Boxes or the equivalent of 2 Queen-Sized Beds + 1 Dining Table + 6 Chairs + 1 2 door Wardrobe + 1 Washing Machine + 1 Two-Door Fridge + 1 Study Table & Chair + 1 Large Shoe Rack + Miscellaneous Items (Books, Toys, Fan, Bicycle, LED TV, etc.)

  • The most popular moving truck. Used by most Moving companies in Singapore.
  • The fully covered box protects your furniture and personal belongings from the rain and the sun.
  • This is the perfect truck if you are planning to do a DIY house move.
  • Depending on the items you have, this truck can fit items from a 3 room flat.

Estimated loading and unloading per truckload: 1hr.

moving-rate

Why select us as
your mover?

  • Competitive pricing
  • Reliable and efficient service
  • Stress-free moving experience
  • Extensive industry knowledge
  • Highly trained, friendly and professional team
  • Customer-oriented approach
  • Maximum cost efficiency and minimum disruption