Loymax, 2026

Wiki source code of Loymax AI


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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.
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4 == Key module capabilities ==
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6 1. Automated data processing and analysis: the system can handle large volumes of data, enabling rapid analysis of customer information.
7 1*. Analysis of up to 100 million customers;
8 1*. Simultaneous monitoring of more than 1,000 parameters.
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.
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13 == How Loymax AI works ==
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15 The module operates according to the following scheme:
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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 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_catalog_loading_protocol.Version_1\.5.WebHome]], price segment, category presence in receipts, etc.;
20 1*. Points of sale: POS attributes, customer and product price segments, brand availability, etc.;
21 1*. Receipt parameters: purchase amount, receipt length, breadth of assortment in the receipt, etc.;
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 [[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 1. After selecting the best-performing model, the system learns from the new data, continually improving the accuracy of future recommendations.
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26 == Results ==
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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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34 **See also:**
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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.Client_attributes.Common_attributes.WebHome||anchor="ML"]]
39 * [[Personal offers using Machine Learning mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]]
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