Rfid Solution

Retail management process automation platform

Trust in Project Lab Systems & Rfid Solutions

The RFID device serves the same purpose as a bar code or a magnetic strip on the back of a credit card; it provides a unique identifier for that object and, just as a bar code or magnetic strip must be scanned to get the information. You can read and forward information from a RFID reader and its antenas to our main cloud RFID platform.

Our solutions allow data capture and movement control via RFID, minimizing the need for human intervention and enabling data exchange within company departments and third parties. Logistics and goods distribution is an extremely wide concept, meeting virtually every needing identifying products. RFID enables data capture and movement control without human intervention , sharing them both within the company itself as well as with third parties. RFID logistics and distribution has undoubtedly experienced a streamlining of the supply chain processes from beginning to end with the implementation of RFID technology.

Advantages of RFID

  • Identification of goods at source.
  • Immediate transactions on receipt of goods.
  • Change in location irrespective of who or when said changes occur.
  • Complete transparency of the supply chain.
  • Guarantees accurate order picking and reduction in preparation time.
  • Guarantees expedition or shipment operations.
  • Manages returnable assets (reverse logistics)
  • Avoids obsolescence with proper alert management in inventory
  • Integrates movements and data in real time with the IT system, ERP, MES, WMS etc.

Possibilities

The new industrial revolution, known as Industry 4.0, offers a great opportunity for companies to take advantage of the possibilities on offer to improve efficiency, transparency and productivity in the supply chain. Businesses can use their supply chains to reach state of the art technological positions in an increasingly competitive market through intelligent linkage of elements in the logistic system, registering large amounts of data, learning from conditional results and adapting the system behaviour.