Changes for page Product recommendations for personalized mailings and website
From version 27.1
edited by Mariia Safronova
on 2026/09/11 09:54
on 2026/09/11 09:54
Change comment:
There is no comment for this version
To version 16.2
edited by Andrej Rylov
on 2026/03/25 10:03
on 2026/03/25 10:03
Change comment:
Update document after refactoring.
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... ... @@ -16,7 +16,7 @@ 16 16 * Achieve business objectives; 17 17 * Automate marketing activities and test hypotheses. 18 18 19 -Product recommendations are generated using the [[Loymax AI>>doc:Main.Loymax_AI.WebHome]] module whose algorithms enable fast and accurate processing and analysis of large data volumes. Marketers and analysts can focus on developing business strategies while delegating technical big-data processing tasks to artificial intelligence for specific business purposes. 19 +Product recommendations are generated using the [[Loymax AI>>doc:Main.General_information.Loymax_AI.WebHome]] module whose algorithms enable fast and accurate processing and analysis of large data volumes. Marketers and analysts can focus on developing business strategies while delegating technical big-data processing tasks to artificial intelligence for specific business purposes. 20 20 21 21 Business goals achieved through personalized communications using product recommendations: 22 22 ... ... @@ -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 **Loymax 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 ... ... @@ -310,7 +310,7 @@ 310 310 * [[Recommendation System Integration>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]] 311 311 * [[Omnichannel strategy>>doc:Main.General_information.Omnichannel.WebHome]] 312 312 * [[Attributes Related to Loymax AI>>doc:Main.Usage.MMP.Admin_panel.Customer_attributes.Attributes.WebHome||anchor="ML"]] 313 -* [[Personal Offers Using Machine Learning Mechanics>>doc:Main.Installation_and_configuration. Additional_modules_configuring.CommunicationService_ML.WebHome]]313 +* [[Personal Offers Using Machine Learning Mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]] 314 314 ))) 315 315 316 316 (% class="box" %)
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