Oxford Nomad 1L Utility Motorcycle Pouch

Oxford Nomad 1L Utility Motorcycle Pouch

In stock
£27.49

Ask Bio about this product

AI assistant · instant answers

Oxford Nomad is a range of modular lightweight luggage, designed in a way that allows you to build a luggage system personalised to you.

1
Subscribe & save 10%

Get a reminder for regular delivery and save with code SUBSCRIBE10 at checkout. Pause or cancel anytime.

Sold and dispatched by BDLA Motorbikes View store →

Allergen information: Full label details for this product are still being verified. If you have a food allergy or intolerance, please check the pack label on delivery or contact us before ordering, and we will confirm with the supplier.

Description

The Oxford Nomad 1L Utility Pouch is a small multi-functional carrier ideal for frequently accessed items, such as a phone, multi tool, keys and wallet.

Oxford Nomad is a range of modular lightweight luggage, designed in a way that allows you to build a luggage system personalised to you. Starting with a harness, secure this to your bike and then choose from a range of fully adjustable bags, packs and pouches, and attach these in whatever way suits the needs of your ride.

The MOLLE-compatible (Modular Lightweight Load-carrying Equipment) system and PALS (Pouch Ladder Attachment System) webbing combine to make a user-friendly webbing grid for accessory straps to be woven through, creating a tight, secure fit.

Motorcycle Utility Pouch Features:

  • 1L maximum capacity.
  • PALS webbing rear panel for attaching NOMAD accessories.
  • Durable, weatherproof 600D polyester construction.
  • Adjustable strap and D-ring attachment points.
  • Converts to a leg bag and cross-body bag.

Oxford Nomad 1L Utility Pouch

Questions & answers

Ask Bio — questions answered by our team are published here.

No published questions yet. Ask Bio — once our team answers, it appears here.

Similar Options

Other choices in this category

Complete Your Basket

Goes well with this product

Customers also bought

Based on real order data