Sales Tax Nexus Monitoring: Numeral integrates with Shopify, WooCommerce, Amazon, and other platforms to collect accurate sales data in real-time. This allows us to track nexus across states seamlessly.
Physical Mail Monitoring: We'll scan, read, & respond to sales tax-related physical mail for you.
Transparent Filings: We provide comprehensive filing documentation for your review. Additionally, you can access your store’s past filings through our dashboard.
White Glove Customer Service: We provide 24x7 customer support and are just a text away. Drop us a note for tax questions, unforeseen emergencies, etc.
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The most comprehensive sales tax platform for ecommerce brands that combines tech with white-glove service.
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We guarantee that if there's any inaccuracy with tax filings, we'll cover it. Besides that, you get access to our sales tax experts quicker than any of our competitors.
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Ecommerce brands in the US running on Shopify and WooCommerce.
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immi, Muddy Bites, Nomad Goods, PetPlate, The Woobles
Based on our record, Amazon Rekognition seems to be a lot more popular than Numeral. While we know about 33 links to Amazon Rekognition, we've tracked only 1 mention of Numeral. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Numeral (https://numeralhq.com) | Infrastructure Software Engineer | Remote Numeral handles all aspects of sales tax from registration to remittance for e-commerce stores. We offer white-glove service so stores can get back to working on growing their business. Tech Stack: Docker, PostgreSQL, Redis, GitHub Actions, Terraform, etc. Competitive salary and equity package. - Source: Hacker News / about 2 months ago
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 2 months ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 10 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 11 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
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