We increase the conversion of your e-commerce with AI Recommendations.
We offer a commission-based service, there is no upfront investment from your part, we only get a small fee when we get you a sale.
We have 4 modalities of recommenders: product recommendation (increase conversion), you might also like (increase chances of buying and up-selling), frequently bought together (cross-selling) and similar items (down-selling).
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Based on our record, Amazon Machine Learning seems to be more popular. It has been mentiond 2 times since March 2021. 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.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
AWS Personalize - Real-time personalization and recommendation engine in AWS
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Google Recommender API - Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.
Lobe - Visual tool for building custom deep learning models
Microsoft Azure Recommendations - Predict what your customers want and increase catalog discoverability
Apple Machine Learning Journal - A blog written by Apple engineers