Changes for page Retail Engine AI

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1		-Loymax AI
	1	+Retail Engine AI

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	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.
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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	7	== Key module capabilities ==
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9	9	1. Automated data processing and analysis: the system can handle large volumes of data, enabling rapid analysis of customer information.
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10	10	1*. Analysis of up to 100 million customers;
11	11	1*. Simultaneous monitoring of more than 1,000 parameters.
12	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.
	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.
14	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 ==
	13	+== How Retail Engine AI works ==
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18	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:
	17	+1. Retail Engine AI collects and analyses sales data using various parameter groups. For example:
21	21	1*. Customer profiles: purchase frequency and volume, receipt amount and length, brand preferences, sensitivity to offers, responsiveness to communication channels, etc.;
22	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	23	1*. Points of sale: POS attributes, customer and product price segments, brand availability, etc.;
24	24	1*. Receipt parameters: purchase amount, receipt length, breadth of assortment in the receipt, etc.;
25	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.
	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.Loymax_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]]. Offers are chosen based on predicted purchase uplift.
27	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	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.
	28	+As a result of using Retail Engine 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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33	33	|(% style="border-color:white; text-align:center" %){{lightbox image="diagram_ML.png"/}}
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36	36	(((
37	37	**See also:**
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39		-* [[Loymax AI integration>>doc:Main.Loymax_AI.LoymaxAI_integration.WebHome]]
	36	+* [[Retail Engine AI integration>>doc:Main.Retail_Engine_AI.LoymaxAI_integration.WebHome]]
40	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]]
	38	+* [[Product recommendations for personalized mailings and website>>doc:Main.Retail_Engine_AI.Commercial_recommendations.WebHome]]
42	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]]
	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.Individual_offers.Personal_offers.WebHome]]
44	44	)))