Tackling Inventory Headaches in the E-commerce Universe #shorts

When a shipment arrives at the warehouse, each batch is associated with a unique batch number or LCK code. The warehouse staff then logs these identifiers into an app, which includes essential details such as the batch code, expiry dates, and UPC codes. These identifiers play a crucial role in helping merchants trace the origin and journey of shipments, particularly in the event of a product recall.

Tracking these details meticulously allows merchants to pinpoint which batches are affected without the need to pull all products off the shelves, significantly reducing disruption. By accessing the Freshly Inventory system, they can identify the specific batch affected and swiftly remove it from virtual shelves. Furthermore, they can inform stores about which batch needs to be pulled, ensuring a targeted and efficient recall process.

This system not only enhances the traceability of products but also streamlines the recall management process, ensuring that only the necessary batches are removed, thus minimizing loss and maximizing efficiency.

Keywords

Batch number
LCK code
Warehouse
Batch code
Expiry dates
UPC codes
Recall
Freshly Inventory
Virtual shelves
E-commerce

FAQ

Q1: What identifiers are used to track batches in the warehouse? A: Each batch is associated with a unique batch number or LCK code, along with details such as batch code, expiry dates, and UPC codes.

Q2: How do these identifiers help in the event of a recall? A: These identifiers allow merchants to pinpoint the specific affected batches, enabling them to target recalls precisely without removing all products from the shelves.

Q3: What system helps merchants manage their inventory during recalls? A: Merchants use the Freshly Inventory system to identify and address specific batches on both virtual and store shelves.

Q4: What is the main benefit of using such an inventory tracking system? A: The primary benefit is enhanced traceability and efficient recall management, reducing losses and minimizing disruption by only removing necessary batches.