Retail Engine, 2026

Changes for page Retail Engine AI


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edited by Anastasia Zanina
on 2026/09/08 08:58
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edited by Anastasia Lozinskaia
on 2026/04/02 16:43
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1 -Retail Engine AI
1 +Loymax AI
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1 -XWiki.zanina
1 +XWiki.alozinskaia
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1 1  (% class="lead" %)
2 -**Retail Engine AI** (Artificial Intelligence) is a tool for automating and personalizing [[marketing campaigns>>doc:Main.Usage.MMP.Marketing.Marketing_campaigns.WebHome]] that can integrate personalized marketing into an existing Loyalty Program. Using machine learning (ML), the module elevates the loyalty program to a new technological level, increases LP member engagement, and drives purchase growth.
2 +**Loymax AI** (Artificial Intelligence) is a tool for automating and personalizing [[marketing campaigns>>doc:Main.Usage.MMP.Marketing.Marketing_campaigns.WebHome]] that can integrate personalized marketing into an existing Loyalty Program. Using machine learning (ML), the module elevates the loyalty program to a new technological level, increases LP member engagement, and drives purchase growth.
3 3  
4 4  == Key module capabilities ==
5 5  
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7 7  1*. Analysis of up to 100 million customers;
8 8  1*. Simultaneous monitoring of more than 1,000 parameters.
9 9  1. Creation of personalized preferences: discounts, bonus points, and other incentives tailored to each Loyalty Program member. This helps optimize costs and boost the effectiveness of [[marketing campaigns>>doc:Main.Usage.MMP.Marketing.Marketing_campaigns.WebHome]] while reducing staff workload.
10 -1. Generation of personalized online content through ranking and prediction of the most likely purchases. Real-time adaptation to behavioral changes: Retail Engine AI continuously tracks shifts in customer behavior, preferences, and external factors such as seasonal fluctuations, assortment changes, holidays, etc.
10 +1. Generation of personalized online content through ranking and prediction of the most likely purchases. Real-time adaptation to behavioral changes: Loymax AI continuously tracks shifts in customer behavior, preferences, and external factors such as seasonal fluctuations, assortment changes, holidays, etc.
11 11  1. Optimization of [[communication channels>>doc:Main.Usage.Communications_ways.WebHome]]: the system selects the most effective communication channel for each Loyalty Program member, increasing the likelihood of response.
12 12  
13 -== How Retail Engine AI works ==
13 +== How Loymax AI works ==
14 14  
15 15  The module operates according to the following scheme:
16 16  
17 -1. Retail Engine AI collects and analyses sales data using various parameter groups. For example:
17 +1. Loymax AI collects and analyses sales data using various parameter groups. For example:
18 18  1*. Customer profiles: purchase frequency and volume, receipt amount and length, brand preferences, sensitivity to offers, responsiveness to communication channels, etc.;
19 19  1*. Products and product categories: purchase frequency and volume, [[product attributes>>doc:Main.Integration.Loading_data_into_the_system.ERP_system_integration.Product_catalogue_loading_protocol.Version_1\.5.WebHome]], price segment, category presence in receipts, etc.;
20 20  1*. Points of sale: POS attributes, customer and product price segments, brand availability, etc.;
21 21  1*. Receipt parameters: purchase amount, receipt length, breadth of assortment in the receipt, etc.;
22 22  1*. Calendar: purchase patterns linked to seasonality, time of year, day of week, holidays, etc.
23 -1. Retail Engine AI employs a hybrid recommendation system: multiple competing ML models are used to select the optimal [[personalized offer>>doc:Main.General_information.Retailengine_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]]. Offers are chosen based on predicted purchase uplift.
23 +1. Loymax AI employs a hybrid recommendation system: multiple competing ML models are used to select the optimal [[personalized offer>>doc:Main.General_information.Loymax_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]]. Offers are chosen based on predicted purchase uplift.
24 24  1. After selecting the best-performing model, the system learns from the new data, continually improving the accuracy of future recommendations.
25 25  
26 26  == Results ==
27 27  
28 -As a result of using Retail Engine AI, Loyalty Program members receive [[personalized>>doc:Main.General_information.Retailengine_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]] and relevant offers via their most effective [[communication channel>>doc:Main.Usage.Communications_ways.WebHome]]. This creates additional value for customers, enhances loyalty, unlocks customer potential, supports retention and win-back efforts, and ultimately drives sales growth.
28 +As a result of using Loymax AI, Loyalty Program members receive [[personalized>>doc:Main.General_information.Loymax_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]] and relevant offers via their most effective [[communication channel>>doc:Main.Usage.Communications_ways.WebHome]]. This creates additional value for customers, enhances loyalty, unlocks customer potential, supports retention and win-back efforts, and ultimately drives sales growth.
29 29  
30 30  |(% style="border-color:white; text-align:center" %){{lightbox image="diagram_ML.png"/}}
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33 33  (((
34 34  **See also:**
35 35  
36 -* [[Retail Engine AI integration>>doc:Main.Retail_Engine_AI.Retail_Engine_AI_Integration.WebHome]]
36 +* [[Loymax AI integration>>doc:Main.Loymax_AI.LoymaxAI_integration.WebHome]]
37 37  * [[Recommendation system integration>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]]
38 -* [[Product recommendations for personalized mailings and website>>doc:Main.Retail_Engine_AI.Commercial_recommendations.WebHome]]
38 +* [[Product recommendations for personalized mailings and website>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome]]
39 39  * [[Attributes related to ML>>doc:Main.Usage.MMP.Admin_panel.Customer_attributes.Attributes.WebHome||anchor="ML"]]
40 -* [[ML-powered personalized offers>>doc:Main.Installation_and_configuration.Additional_modules_configuring.CommunicationService_ML.WebHome]]
41 -* [[Personalized offers based on customer attributes>>doc:Main.General_information.Retailengine_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]]
40 +* [[ML-powered personalized offers>>doc:Main.Installation_and_configuration.Additional_modules_configuring.CommunicationService_ML.WebHome]]
41 +* [[Personalized offers based on customer attributes>>doc:Main.General_information.Loymax_Loyalty.Offer_mechanics.Offer_Personalization.Personal_offers.WebHome]] 
42 42  )))