Carted Blog (Page 1)

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Future of Commerce Featured

Everything That’s Wrong With Affiliate Marketing…

Here is everything that is wrong with affiliate marketing and an opportunity for innovation.

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Product Featured

Introducing Carted Elements

Build an on-site shopping experience in minutes using our all-new, low-code tools.

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Engineering Featured

Better Hardware Provisioning for ML Experiments

We demonstrate how to use Terraform to provision cloud hardware for running ML experiments with Vertex AI Workbench.

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Product Featured

How Publishers Can Build a Holistic Commerce Strategy

Learn how publishers can better integrate commerce into their strategy to improve overall business outcomes.

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Product Featured

Make First-Party Data Your Superpower

An introduction to first-party data and practical examples to turn it into a competitive edge.

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Product Featured

Commerce 101: On-site Shopping for Publishers

A primer for ecommerce best practices that publishers can use to maximize the impact and effectiveness of on-site checkout.

Engineering Featured

Building an Efficient Machine Learning API

Learn the techniques we used to build a performant and efficient product categorization endpoint that will be used within our product data pipeline.

Engineering Featured

How We Designed Our Scalable Microservice Architecture

A look at how we architected our codebase to meet our ambitious goals and work well for our distributed team.

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Future of Commerce Featured

Why Contextual Commerce is Taking So Long to Build

Contextual commerce promises to bridge the gap between inspiration and purchase. Hear from our founder on why this future has yet to materialise.

Engineering Featured

Variable-Length Sequences in TensorFlow Part 3: Using a Sentence-Conditioned BERT Encoder

To conclude this series, we examine the benefits of using a sentence-conditioned BERT model for multi-sentence text data.

Engineering Featured

Variable-Length Sequences in TensorFlow Part 2: Training a Simple BERT Model

In this article we demonstrate how to use a BERT model with variable-length text data while minimizing training time.

Future of Commerce Featured

Like, Subscribe, and Buy: Empowering Creator Commerce

Creators are increasingly looking to commerce to fuel their growth. We assess the state of creator commerce today, and where it’s headed.

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Engineering Featured

Variable-Length Sequences in TensorFlow Part 1: Optimizing Sequence Padding

We analyze the impact of sequence padding techniques on model training time for variable-length text data.

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Future of Commerce Featured

Carted’s Elevator Pitch

This article is Carted’s elevator pitch — the problems we’re solving, why and how we’re solving them, and most importantly, what sets us apart from the status quo.

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Product Featured

Product Taxonomy: Improve Sales with Effective Categorization

A clear and comprehensive product taxonomy enables your customers to find exactly what they need to complete their checkout. Learn how to construct the ideal product taxonomy with this guide.

Product

7 Best Practices for Creating a Product Taxonomy

A well-constructed product taxonomy provides lasting benefit to both your customers and your business. Understand these 7 tips to optimise your own product hierarchy.

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Engineering

Improving Dataflow Pipelines for Text Data Processing

This post discusses recipes to improve Cloud Dataflow pipelines for large-scale datasets involving sequential text data.

Future of Commerce

Powering Everything: Why APIs Are The Future

By capitalizing on external APIs, developers can be creative and build new services in a more efficient way, and without too many resources. Forget ‘build or buy’ — the real choice is ‘build, buy, or API.’

Future of Commerce

The Future of Commerce with Carted in the Picture

The Carted API allows any app or platform to seamlessly access billions of products on the internet, in real-time. Our Founder shares her thoughts on Carted's role in building the future of commerce.