Changes for page Product recommendations for personalized mailings and website
From version 20.1
edited by Anastasia Zanina
on 2026/09/08 02:34
on 2026/09/08 02:34
Change comment:
Upload new image "product_recommendations_overview_1.png", version 1.1
To version 18.1
edited by Mariia Safronova
on 2026/09/07 11:49
on 2026/09/07 11:49
Change comment:
There is no comment for this version
Summary
-
Page properties (2 modified, 0 added, 0 removed)
-
Attachments (0 modified, 0 added, 1 removed)
Details
- Page properties
-
- Author
-
... ... @@ -1,1 +1,1 @@ 1 -XWiki. zanina1 +XWiki.safronovams - Content
-
... ... @@ -42,7 +42,7 @@ 42 42 43 43 Data sources for receipts, customers, and products from the product catalog used to generate product recommendations include the **DWH BI** data warehouse and/or the **ClickHouse SmartCom** database management system. This data is transferred to the **Retail Engine AI** module, where it is processed and product recommendations are calculated using ML algorithms. The resulting recommendations are then delivered via API to **data marts**. The **API-proxy server** validates incoming requests and formats responses for Smart Communications. **Smart Communications** retrieves responses from the **API-proxy server**, enriches them with data (images, product names, links, prices, etc.), inserts them into predefined templates, and sends mass messagings containing the generated product recommendations to customers. 44 44 45 -|(% style="border-color:#ffffff; text-align:center" %){{lightbox image="product_recommendations_overview _1.png" width="1200"/}}45 +|(% style="border-color:#ffffff; text-align:center" %){{lightbox image="product_recommendations_overview.png" width="1200"/}} 46 46 47 47 Currently, 5 algorithms are available for generating product recommendations: 48 48
- product_recommendations_overview_1.png
-
- Author
-
... ... @@ -1,1 +1,0 @@ 1 -XWiki.zanina - Size
-
... ... @@ -1,1 +1,0 @@ 1 -40.4 KB - Content