In the face of these rising B2C shipping volumes, capacity constraints, and higher shipping costs, shippers have to re-engineer their fulfillment processes to accommodate last-mile parcel delivery. As a result, many enterprise logistics solution providers incorporate multi-carrier parcel management solutions (MCPMS) as a core component within their offering.
Retailers are facing stiff competition both from legacy brick-and-mortar companies, pure-play eCommerce players, and online marketplaces. Add to this a shifting landscape in the wake of the COVID-19 crisis. To get ahead and stay ahead of the shop down the block or the eCommerce store across the ocean, retailers need to create a sustainable competitive advantage.
Shortages in supply and disruptions in the logistics chain are a tale as old as time. And while there are few precedents in this period of uncertainty, the basics remain the same: By adopting guidance that pacesetters use to navigate other forms of disruption, you can confidently lead your supply chain through change, now and in the future.
You’ve used networks for years. Every organization does. It’s how you manage relationships with indirect suppliers and keep track of high-volume, low-value, non-mission-critical spending. But odds are, you’re juggling several, maybe many, individual networks.
What would happen if you could switch all your trading-partner collaboration to a single network?
In the fast-moving sportswear market, one must be nimble to stay ahead of the competition. The increasing popularity of online shopping, accelerated by the COVID-19 pandemic, has brought entirely new challenges to retailers such as athletic and casual wear seller Puma. And the company has recently done some fancy footwork to make sure it stays in an omnichannel marketplace, now and far into the future.
Ever since access to ubiquitous real-time data emerged as a technological reality, businesses have been lured by the possibility of redirecting their supply chains toward a model driven by demand. Applying analytics software to make sense of big data could allow organizations to close the gap between demand and supply.