

Obviously you still want to have a well-organized and intuitive catalog – especially for B2B buyers whose job is about finding and procuring the goods they need to conduct business. Now that you’re no longer scared by this process, we suggest reading the installation notes in the Magento User Guide. You can use the date filter to refine the recommendations by Last 24 hours, Last 7 days, and Last 30 days.From here, you can create a new recommendation or edit an existing recommendation.This dashboard displays a table of previously configured recommendations (if any) along with the metrics being tracked on those recommendations. The Product Recommendations dashboard appears.On the Admin sidebar, go to Marketing > Promotions > Product Recommendations.Although, it does require knowledge of the Magento Admin panels and key configuration sequences. With use of this AI-powered product recommendation engine we believe B2B average order values will increase significantly.īecause Sensei is deployed as a SaaS service that is integrated with Magento, it’s relatively easy to set up and should not require any “coding†once the product recommendation modules are installed.

We think B2B customers will be highly likely to benefit from the technology.Easy set up and the easiest way to get AI-powered product recommendations working in a B2B setting.We’re excited about Adobe Sensei for Magento 2 B2B merchants for the following reasons:

Using Adobe Sensei with Magento Commerce now provides another solution for that. Through our B2B e-commerce experience, designing and installing both the core B2B features and additional B2B modules that speed, we know that self-service and purchasing automation are critical to B2B merchants that want to provide their B2B company customers (and purchasing team members associated with each) with easy, fast, and efficient purchasing. We believe this is going to be a huge booster for productivity and average order size for B2B merchants. It sharpens and targets the product recommendation experience so that they are incredibly relevant. Sensei uses artificial intelligence and machine-learning algorithms to perform a deep analysis of aggregated visitor data. Adobe Sensei-powered product recommendations is the first AI-powered product recommendations engine for Magento, and it looks awesome.
