Newegg unveils new supply chain solution for e-commerce retailers


US-based e-retailer Newegg has launched its new branded logistics solution to enable e-commerce sellers and other organisations to streamline order fulfilment, shipment and returns.

Known as Newegg Logistics, the logistics solution provides end-to-end supply chain support for organisations seeking to outsource their logistics operations.

Newegg global operations SVP Kunal Thakkar said: “Newegg Logistics is the aggregation of logistical best practices honed since the company’s inception in 2001.

“We’re now putting our expertise to work for companies that want to outsource this challenging aspect of running an e-commerce organisation.

“This lets our clients focus on their core business, knowing the logistics have been handled.”

The solution consists of four key components of the fulfilment process, namely forward logistics, transportation management, value-added services and reverse logistics.

Forward logistics is designed for warehousing the sellers’ products, and prepares them for shipment and transportation.

Value-added services includes insertion of promotional materials, pre-shipment assembly and secondary product inspection, as well as reverse logistics comprises post-return inspection and resolution to streamline returns.

“This lets our clients focus on their core business, knowing the logistics have been handled.”

According to the company, it maintains a network of warehouse facilities located strategically across North America, thereby shipping the order to customers in the US and Canada within two days.

With the help of fully customisable and scalable solutions, the company supports companies, including both small niche sellers, as well as large companies with cross-border operations.

In addition to companies selling direct-to-customers (B2C), the solution also targets B2B applications, wherein distributors ship to a broad network of sellers.

The company will provide its clients with access to critical information such as inventory levels and in-process order data.