NARA CAMICIE

Logistics

2019

6 months

Nara Camicie is an Italian company focused in shirt production since 1984.

The company is characterized by a franchising structure, that strated more than 30 years ago with the launch of the first shop in via Montenapoleone, Milan.

Due to its fragmented commercial structure, logistics represents the heart of its distribution. Inbound and outbounf procedure have been improved thanks to RFID technology. The common barcode hangtag has been replaced with a 2.0 version with a RFID label, that allows bulk and precise readings, without the need to check each item one by one.

We installed RFID printers to encode RFID labels and to print production data. Packing has been improved thanks to RFID desk and concerning RFID labels readings, we installed RFID portals, that can read automatically all articles packed in boxes on pallet, in a few seconds.

Logistic management is efficient and the solution is integrated with Nara Camicie ERP.

We improved our warehouse management, reducing errors and making shipment processes faster

Benefits:

  • Correct inbound/outbound management
  • No human errors
  • Expected and unexpected items real time check
  • No paper documents
  • Automatic inbound and outbound

Tags & Labels

UHF RFID HANGTAG

high quality paper hangtag, suitable for any
application requiring close reading.

Coding points

SATO CL4NX PRINTER

Device ables to manage the printing and encoding of RFID labels
it's designed to simplify management and maintenance.

Reading point

RFID UHF READING PORTAL

On all loading and picking docks and on all goods movement bays
have been installed RFID portals that, fully automatically, note
the movement of goods increasing dramatically inventory accuracy
of article locations

RFID DESK

RFID Labels Reading/writing post. Suitable for packing
activities or inbound check. Structure can be customised upon
request.

Logistics

InfinityID speeds up counting
operations in every phase and movement,
reducing the possibility of errors.

Case History

Retail

2018

6 months

Industry

2019

6 months

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