This is the SECOND part of the 3-hour presentation given by Rauf Aliev (EPAM SAP Hybris Solution Architect) at SAP Moscow on Sep 29, 2017. Click here to watch the first part.
- Part 1. Introduction
- About me
- Architecture & research
- SAP Hybris in a nutshell
- Part 2. Search Analytics
The next parts of the presentation are about specific solutions, such as a rule-based recommendation system and page fragment caching.
The video is originally in Russian. However, I translated it into English and added subtitles so you can watch it without turning the sound on.
If you speak Russian, I recommend watching the original version.
In this video, I explain the details of the e-commerce search optimization project, as well as the software components developed for this purpose. Using the approach from the video, you will be able to:
- detect issues with the search configuration
- identify the weak points and bottlenecks of your search system
- calculate search KPIs for your system
- compare search KPIs before and after a change
For example, the reports can show the following issues with the search:
- there are many customers who searched for X. The relevant products for X are on the second page of the search results. The first page doesn’t have any relevant products.
- there are search queries that don’t work: almost nobody buys the products from those search results
- and so on
In English (translated, audio + subtitles):
In Russian (original):
Slides:
© Rauf Aliev, October 2017