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Intelligence that moves your supply chain

PyTorch
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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Which is more popular?
Based on our record, TensorFlow seems to be more popular. It has been mentioned 8 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | freightpop.com | tensorflow.org |
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| Platforms | — | |
| Company | Startup from the United States · 100 - 249 employees | — |
| Listed in |
In their own words, as submitted to SaaSHub.


FreightPOP is an AI supply chain software platform built for mid-market and enterprise shippers. We are the intelligence that moves your supply chain—unifying WMS, OMS, and TMS into a single end-to-end solution. With one login, shippers can manage parcel, LTL, FTL, ocean, rail, and international...
No description of TensorFlow yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
FreightPOP is recommended for small to medium-sized businesses, e-commerce companies, and enterprises that require efficient management of their shipping and logistics. It's particularly beneficial for those needing robust multi-carrier support, real-time tracking, and integration with existing business systems.
No analysis of TensorFlow yet.
Walkthroughs and reviews on video.
FreightPOP: AI Supply Chain Software
What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing FreightPOP and TensorFlow.
FreightPOP's answer
FreightPOP is AI supply chain software that unifies WMS, OMS, and TMS into a single end-to-end platform, rather than a transportation management system with warehouse and order modules bolted on. Most shippers run three disconnected systems and reconcile between them; FreightPOP runs them as one, with one login covering parcel, LTL, FTL, ocean, rail, and international air.
The second differentiator is FreightPOP AI, an intelligence layer that spans the entire ecosystem instead of sitting in a separate module. It continuously learns from shipment data, operational behavior, and system activity to guide decisions and automate execution across rate shopping, dispatching, tracking, and freight audit, while enabling load consolidation, route optimization, yard management, and dock scheduling.
The third is integration depth: 1,500+ supported connections spanning ERP, WMS, EDI, ELD, eCommerce, and finance systems, including native integrations with NetSuite, Acumatica, and Microsoft Dynamics 365.
FreightPOP's answer
FreightPOP serves more than 300 shippers across manufacturing, distribution, retail, and eCommerce. Publicly referenced customers include:
Newegg Kyocera Advantech GrowGeneration 4Wall Entertainment Betco Uneekor Sonco Worldwide LogiQuip Elgen Manufacturing DP Wagner Flair Packaging Everflow Supplies International Spices
FreightPOP's answer
FreightPOP occupies the space between lightweight rate-shopping tools and enterprise TMS platforms that require six-to-twelve-month implementations. Shippers choose FreightPOP when they have outgrown spreadsheets and carrier portals but do not want the cost, timeline, or consulting dependency of an enterprise deployment.
Four reasons come up most often in evaluations:
Implementation speed. Native ERP integrations mean shippers connect to NetSuite, Acumatica, or Microsoft Dynamics 365 without custom middleware projects.
Unified WMS, OMS, and TMS. Competitors typically sell one of the three and integrate to the rest. FreightPOP delivers all three on one platform and one data model.
AI built into the workflow. FreightPOP AI operates inside the screens users already work in — recommending accessorials at address validation, flagging in-transit exceptions, auditing invoices against quotes, and surfacing consolidation opportunities.
Documented results. GrowGeneration saved $500K, Uneekor cut shipping costs 50%, and an automotive manufacturer reduced logistics costs 30% through its SAP integration.
FreightPOP is also SOC 2 Type II certified and has ranked on the Inc. 5000 for five consecutive years.
FreightPOP's answer
FreightPOP serves mid-market and enterprise shippers — manufacturers, distributors, retailers, and eCommerce companies that ship their own freight. The core profile is a company running an ERP such as NetSuite, Acumatica, Microsoft Dynamics 365, SAP, Epicor, or Infor, shipping across multiple modes, and managing enough volume that manual rate comparison and invoice reconciliation have become a bottleneck.
Typical buyers are supply chain directors, logistics managers, operations leaders, and IT teams responsible for connecting shipping to the systems of record. Strongest industry fit includes industrial manufacturing, wholesale distribution, building products, consumer goods, electronics, food and beverage, and 3PLs.
FreightPOP is built for shippers rather than freight brokers. Companies with high inbound and outbound complexity, multiple warehouse locations, or an ERP that does not natively handle multi-carrier shipping see the fastest return.
FreightPOP's answer
FreightPOP was founded in 2015 in Lake Forest, California by Kurt Johnson, and grew out of a real shipping problem rather than a theoretical one. The founding team came from Horizon Technology, a computer equipment distributor with nearly two decades of operating history, where they lived the same friction their customers now describe: rising freight costs, fragmented workflows spread across carrier portals and spreadsheets, and a software market that offered only enterprise-grade TMS platforms priced and scoped far beyond what a mid-market shipper could absorb.
The founding thesis was that shippers of every size deserve enterprise capability without enterprise complexity. That principle still drives the roadmap — from the original multi-carrier rate shopping engine, to native ERP integrations, to the current unified WMS, OMS, and TMS platform with FreightPOP AI at its core.
FreightPOP has since been recognized on the Inc. 5000 for five consecutive years and named "Best For Shipping" by Forbes and U.S. News.
FreightPOP's answer
FreightPOP is a cloud-based, multi-tenant SaaS platform delivered entirely through the browser, with no on-premise installation or client-side software required.
Connectivity is built on REST APIs, EDI (including X12 transaction sets for shipping and invoicing), flat-file and flexible data exchange, and direct database connections for legacy ERP environments. FreightPOP maintains native, purpose-built integrations to NetSuite, Acumatica, and Microsoft Dynamics 365, alongside connections to iPaaS platforms including MuleSoft, Boomi, and Celigo.
FreightPOP AI includes MCP (Model Context Protocol) support, which exposes core FreightPOP functionality and data for use in external workflows and AI tools — letting customers reach the platform from whatever agent environment they already use.
The platform is SOC 2 Type II certified, with role-based access controls, encryption in transit and at rest, and audit logging.
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From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object...
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image...
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for...
Recommendations tracked on public social media and blogs since March 2021.


Tracking FreightPOP since Mar 2021.
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even... - Source: dev.to / 6 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow... - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
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