Changes for page Product recommendations for personalized mailings and website
From version 18.1
edited by Mariia Safronova
on 2026/09/07 11:49
on 2026/09/07 11:49
Change comment:
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To version 19.1
edited by Anastasia Zanina
on 2026/09/08 02:34
on 2026/09/08 02:34
Change comment:
There is no comment for this version
Summary
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Details
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... ... @@ -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.png" width="1200"/}} 45 +|(% style="border-color:#ffffff; text-align:center" %){{lightbox image="product_recommendations_overview_1.png" width="1200"/}} 46 46 47 47 Currently, 5 algorithms are available for generating product recommendations: 48 48