15 posts tagged CARTONIZATION
The Parcel Packing Intelligence Platform: Paccurate API & PacSimulate
Paccurate has built a powerful 3D cartonization engine which leverages complex business rules, item and carton limits and dimensions, and incorporates a patented cost-awareness layer which drives carton choice decisions. This engine can be accessed by end-users in two different (but related!) products: the Paccurate API and PacSimulate.
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Frequently Asked Questions About Optimizing Parcel Fulfillment
We compiled some of the most frequently asked questions (FAQs) from prospects and ultimately customers. When faced with sustainability initiatives or budget cuts, optimizing packing and packaging often gets overlooked. Take a look at these FAQs to understand how easy it is to implement Paccurate’s cartonization engine for ~16% less transportation spend, ~13% less corrugate usage, and ~22% less air shipped.Question: What happens if I don’t have stock keeping unit (SKU) dimensions?
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Seed Funding Announcement
The Paccurate Team is beyond thrilled to announce our $2.2m seed round!
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Smart Cartonization: A Solution to the Coming Packaging Waste Problem
Lately, massive e-commerce volumes flowing through delivery systems have created unsustainable costs, an enormous packaging waste problem, and still sustained much more product damage.
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5 Ways Packing Solutions Can Increase Effectiveness Of Order Fulfillment Operations
Effective packaging of your products is crucial for your business. Besides, better packaging is highly pertinent in the Supply Chain Process. It aims to better output, transport, and distribution of products.
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New Website, Same Great Paccurate Flavor
The world has changed a lot since we last updated our website. Supply chain did too. Carrier rates and corrugated prices have shot up, and more major retailers have turned to Paccurate to mitigate the damage.
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Paccurate Joins NVIDIA Inception
The Paccurate team has been excited about this for a while now, so we're delighted to announce that we've joined NVIDIA Inception! Press release follows.
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How to Get Box-Making Machines Working Smarter
Packaging volumes are surging in response to consumer demand these days. Meanwhile, packaging-related costs—from materials to storage and transportation costs--are rising in tandem. So it's no surprise that shippers who manage different product and packaging configurations need viable ways to control their packaging costs and reduce waste without compromising throughput.
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What is Narrow Artificial Intelligence?
Maybe the term AI conjures up synthetic human intelligence for you. Or perhaps it brings to mind a marketing term you’ve seen sprinkled liberally throughout marketing content but never fully understood.
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Cost-aware cartonization
Even if you've taken steps to bring an algorithmic approach to your packing process (good job!), you need to ensure your cartonization engine is smart enough to consider all cost factors related to shipping. Here's a few key requirements for cartonization that's smart enough for real-world cost-optimization:
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The best way of automating box selection
Cartonization is the method of determining which box you should pack an item or series of items in. If you're new to fulfillment technology, or are thinking about optimizing your packing process, there are some key things to understand about modern cartonization.
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Webinar: Packaging Changes for Covid-19 and Beyond
We're excited to announce an upcoming webinar in partnership with Pierbridge and Chainalytics titled Packaging Changes for Covid-19 and Beyond: Enabling Logistics for a Sustainable, Frustration-Free, and Positive Experience.
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Items to Boxes to Pallets
Cartonization typically refers to, well, packing cartons. Expanding your view of what cartonization can accomplish can produce compounding savings and efficiency gains when packing items destined for pallets and beyond.
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Cartonization AI is the future of fulfillment optimization.
Sometime in 2017, Paccurate made the leap from bin packing algorithm to artificial intelligence. No, it didn’t become self aware and start plotting to overthrow its human masters (we’re pretty sure). Rather, it gained the ability to make real-time decisions based on a data set far too complex for a human to consider.
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