Loymax, 2026

Changes for page Loymax AI

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edited by Andrej Rylov
on 2025/10/15 09:27
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To version 4.1
edited by Andrej Rylov
on 2025/10/15 09:59
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2 -**Loymax AI** (Artificial Intelligence) is a tool for automating and personalising [[marketing campaigns>>doc:Main.Using.MMP.Marketing.Marketing_campaigns.WebHome]], integrating personalised marketing into an existing Loyalty Program. Using machine learning (ML), the module elevates the loyalty programme 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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6 6  1. Automated data processing and analysis: the system can handle large volumes of data, enabling rapid analysis of customer information.
7 7  1*. Analysis of up to 100 million customers;
8 8  1*. Simultaneous monitoring of more than 1,000 parameters.
9 -1. Creation of personalised preferences: discounts, bonus points, and other incentives tailored to each Loyalty Program member. This helps optimise costs and boost the effectiveness of [[marketing campaigns>>doc:Main.Using.MMP.Marketing.Marketing_campaigns.WebHome]] while reducing staff workload.
10 -1. Generation of personalised online content through ranking and prediction of the most likely purchases. Real-time adaptation to behavioural changes: Loymax AI continuously tracks shifts in customer behaviour, preferences, and external factors such as seasonal fluctuations, assortment changes, holidays, etc.
11 -1. Optimisation of [[communication channels>>doc:Main.Using.Communications_ways.WebHome]]: the system selects the most effective communication channel for each Loyalty Program member, increasing the likelihood of response.
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: Loymax AI continuously tracks shifts in customer behavior, preferences, and external factors such as seasonal fluctuations, assortment changes, holidays, etc.
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 13  == How Loymax AI works ==
14 14  
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15 15  The module operates according to the following scheme:
16 16  
17 17  1. Loymax AI collects and analyses sales data using various parameter groups. For example:
18 -1*. Customer profiles: purchase frequency and volume, receipt amount and length, brand preferences, sensitivity to promotions, responsiveness to communication channels, etc.;
19 -1*. Products and product categories: purchase frequency and volume, [[product attributes>>doc:Main.Integration.Loading_data_into_the_system.ERP_system_integration.Product_catalog_loading_protocol.Version_1\.5.WebHome]], price segment, category presence in receipts, etc.;
18 +1*. Customer profiles: purchase frequency and volume, receipt amount and length, brand preferences, sensitivity to offers, responsiveness to communication channels, etc.;
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. Loymax AI employs a hybrid recommendation system: multiple competing ML models are used to select the optimal [[personalised offer>>doc:Main.General_information.Loymax_Loyalty.Offers.Individual_offers_in_LP.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.Offers.Individual_offers_in_LP.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 Loymax AI, Loyalty Program members receive [[personalised>>doc:Main.General_information.Loymax_Loyalty.Offers.Individual_offers_in_LP.Personal_offers.WebHome]] and relevant offers via their most effective [[communication channel>>doc:Main.Using.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.Offers.Individual_offers_in_LP.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.
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30 30  |(% style="border-color:white; text-align:center" %){{lightbox image="ML_scheme.png"/}}
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33 33  (((
34 34  **See also:**
35 35  
36 -* [[Recommendation system integration>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.WebHome]]
37 -* [[Product recommendations for personalising messaging and website content>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.Commercial_recommendations.WebHome]]
38 -* [[Attributes related to ML>>doc:Main.Using.MMP.Admin_panel.Client_attributes.Common_attributes.WebHome||anchor="ML"]]
36 +* [[Recommendation system integration>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]]
37 +* [[Product recommendations for personalizing messaging and website content>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.Commercial_recommendations.WebHome]]
38 +* [[Attributes related to ML>>doc:Main.Usage.MMP.Admin_panel.Customer_attributes.Attributes.WebHome||anchor="ML"]]
39 39  * [[Personal offers using Machine Learning mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]]
40 40  )))
Created 2025/10/15 09:27
Last edited 2026/04/20 03:28

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