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Optimize Cartonization with Shipium's Packaging Planner API
Packaging is a critical aspect of your fulfillment process, impacting operational efficiency, profitability, and customer satisfaction. But getting packaging right is easier said than done — vast (and constantly growing) product catalogs, disparate systems, and massive scale all make it difficult to optimize.
How Shipium Helps You Adapt to Macro-Environmental Changes
Last Thursday, Pitney Bowes announced that its ecommerce logistics unit will be shutting down, which means that shippers who rely on its parcel delivery services will need to make major operational adjustments in the coming weeks.
Profitable Delivery Promises Using Transit Data | Shipium
Most digital customer experience leaders already know that offering a competitive delivery promise is a proven way to increase cart conversion and average order value (AOV). But — it’s critical that your shipping operations teams can keep your promise at a reasonable cost for the business. Too often, digital experience teams and shipping ops teams are disconnected, especially when it comes to the sharing of important data that can inform a more accurate delivery promise.
Closed-Loop Parcel: The Future of Shipping
The world of parcel shipping has changed dramatically in recent years. Network complexity and customer expectations are both higher than ever. Amazon Prime has raised the bar for performance across the board, to the point that today’s customers now expect fast, low-cost, transparent shipping options. In fact, this has become such a deeply ingrained preference that shipping is now the 2nd-greatest driver of ecommerce growth, behind only price.
How Shipium's Data Modeling Powers Efficient Operations
To truly modernize shipping operations and optimize for costs and performance, you need to look at all available data. This means both gaining leverage over your own data (historical transit times, carrier contracts & cost structures etc.) as well as considering outside data that impacts your network (weather patterns, unexpected carrier changes, macroeconomic factors like fuel prices.)
Make Prime-Like Delivery Promise Part of Your Strategy
As a retailer, it’s probably no secret to you that online shopping is a cornerstone of your digital customer experience strategy. In fact, you’ve probably already invested significant time and money to improve your brand’s shopping experience (streamlined website, personalized offers and product recommendations etc.) However, like most retailers or brands, you’re likely also facing a broader problem — customers’ expectations for the shipping experience have evolved much faster than your technology and strategy.
Use Predictive Analytics for Smarter Supply Chain Decisions
Your shipping network generates a wealth of data that can be used to de-risk process decisions. Most organizations are already making use of detailed reporting and analytics to understand historical performance and costs — but in the age of predictive analytics, that’s not enough to keep operations on par with more technologically advanced competitors.
Replace Legacy Logistics Software for a Better Supply Chain
Companies like Amazon couldn’t have made fast, low-cost shipping the industry standard without rethinking the technology they used to power operations. The limitations of incumbent on-premise software were getting in the way of the ability to accurately analyze patterns, shop for rates, optimize packaging and much more.
Lower Shipping Costs with Economy Methods | Shipium
Efficient and cost-effective shipping methods like UPS Mail Innovations, FedEx SmartPost / Ground Economy, and DHL Ecommerce enable you to diversify shipping options for customers, increase margins or pass savings on to customers, improve the sustainability of shipping operations, and more. Here’s the problem: because of the absence of SLAs and general performance unpredictability, shippers don’t leverage these options as often as they could (or should).
