Changes for page Retail Engine AI

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1		-Retail Engine AI
	1	+Loymax 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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4	4	== Key module capabilities ==
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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.
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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.
	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.
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.
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13		-== How Retail Engine AI works ==
	16	+== How Loymax AI works ==
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15	15	The module operates according to the following scheme:
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17		-1. Retail Engine AI collects and analyses sales data using various parameter groups. For example:
	20	+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.Loymax_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]]. Offers are chosen based on predicted purchase uplift.
	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.
24	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	26	== Results ==
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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.
	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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30	30	|(% style="border-color:white; text-align:center" %){{lightbox image="diagram_ML.png"/}}
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33	33	(((
34	34	**See also:**
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36		-* [[Retail Engine AI integration>>doc:Main.Loymax_AI.LoymaxAI_integration.WebHome]]
	39	+* [[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	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.Loymax_Loyalty.Offer_mechanics.Individual_offers.Personal_offers.WebHome]]
	43	+* [[Personal offers using Machine Learning mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]]
42	42	)))