Wiki source code of Loymax AI
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| 5 | **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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| 7 | == Key module capabilities == | ||
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| 9 | 1. Automated data processing and analysis: the system can handle large volumes of data, enabling rapid analysis of customer information. | ||
| 10 | 1*. Analysis of up to 100 million customers; | ||
| 11 | 1*. Simultaneous monitoring of more than 1,000 parameters. | ||
| 12 | 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. | ||
| 13 | 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. | ||
| 14 | 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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| 16 | == How Loymax AI works == | ||
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| 18 | The module operates according to the following scheme: | ||
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| 20 | 1. Loymax AI collects and analyses sales data using various parameter groups. For example: | ||
| 21 | 1*. Customer profiles: purchase frequency and volume, receipt amount and length, brand preferences, sensitivity to offers, responsiveness to communication channels, etc.; | ||
| 22 | 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.; | ||
| 23 | 1*. Points of sale: POS attributes, customer and product price segments, brand availability, etc.; | ||
| 24 | 1*. Receipt parameters: purchase amount, receipt length, breadth of assortment in the receipt, etc.; | ||
| 25 | 1*. Calendar: purchase patterns linked to seasonality, time of year, day of week, holidays, etc. | ||
| 26 | 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. | ||
| 27 | 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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| 29 | == Results == | ||
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| 31 | 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. | ||
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| 36 | ((( | ||
| 37 | **See also:** | ||
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| 39 | * [[Loymax AI integration>>doc:Main.Loymax_AI.LoymaxAI_integration.WebHome]] | ||
| 40 | * [[Recommendation system integration>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]] | ||
| 41 | * [[Product recommendations for personalized mailings and website>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome]] | ||
| 42 | * [[Attributes related to ML>>doc:Main.Usage.MMP.Admin_panel.Customer_attributes.Attributes.WebHome||anchor="ML"]] | ||
| 43 | * [[Personal offers using Machine Learning mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]] | ||
| 44 | ))) |