CHANEL 2.55 Chain Shoulder Bag Matelasse Double Flap 25cm Jersey Black Gold-Tone Hardware, Pre-Owned

CHANEL 2.55 Chain Shoulder Bag Matelasse Double Flap 25cm Jersey Black Gold-Tone Hardware, Pre-Owned

Brand: Vintage La Charme
SKU: pmbRN1DBbxOg562j
2868.00 USD In stock Buy at Merchant

Crafted from black jersey with polished gold-tone hardware, this Chanel 2.55 Matelassé Double Flap shoulder bag delivers a recognizable heritage silhouette and practical everyday carry in a verified pre-owned format. Measuring 25 by 15 by 6.5 centimeters, it suits collectors and daily users seeking vintage texture and structured storage without unnecessary bulk. Overall Dimensions: Approximately 25 cm wide, 15 cm high, and 6.5 cm deep, offering balanced capacity for standard daily essentials. Strap System: Interlocking metal chain adjusts from 54 cm to 86 cm, enabling comfortable wrist, shoulder, or crossbody positioning depending on outfit height. Materials & Construction: Black jersey fabric features the classic matelassé quilting pattern, closed by a signature double-flap mechanism that layers protection over main and secondary compartments. Interior Layout: Contains a dedicated inner pocket sized for cards or keys, though the central lining shows expected thinning consistent with long-term vintage use. Hardware & Authentication: Gold-tone metal fittings display light surface wear, paired with a matching serial authenticity seal; the item originates from a licensed Tokyo secondhand dealer (License No. 304361805667). The adjustable chain and compact profile remove strain during extended wear while keeping belongings secure behind two protective flaps. Opting for a certified pre-owned model provides direct access to discontinued fabrics and original craftsmanship at a controlled entry point. Full disclosure of surface and interior wear allows buyers to assess aging gracefully, ensuring transparency before purchase.

Variants (1)
  • Default Title — 2868.00 USD — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

84%