Changes for page Retail Engine AI
From version 27.1
edited by Anastasia Zanina
on 2026/09/08 03:26
on 2026/09/08 03:26
Change comment:
Renamed back-links.
To version 8.1
edited by Andrej Rylov
on 2025/10/15 11:27
on 2025/10/15 11:27
Change comment:
Upload new image "diagram_ML.png", version 1.2
Summary
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... ... @@ -1,1 +1,1 @@ 1 - RetailEngineAI1 +Loymax AI - Parent
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... ... @@ -1,1 +1,1 @@ 1 -Main.WebHome 1 +Main.General_information.WebHome - Author
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... ... @@ -1,1 +1,1 @@ 1 -XWiki. zanina1 +XWiki.arylov - Content
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... ... @@ -1,5 +1,5 @@ 1 1 (% class="lead" %) 2 -** RetailEngineAI** (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.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 ... ... @@ -7,25 +7,25 @@ 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: RetailEngineAI 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: 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. 12 12 13 -== How RetailEngineAI works ==13 +== How Loymax AI works == 14 14 15 15 The module operates according to the following scheme: 16 16 17 -1. RetailEngineAI collects and analyses sales data using various parameter groups. For example:17 +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. RetailEngineAI 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. 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. 25 25 26 26 == Results == 27 27 28 -As a result of using RetailEngineAI, 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 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. 29 29 30 30 |(% style="border-color:white; text-align:center" %){{lightbox image="diagram_ML.png"/}} 31 31 ... ... @@ -33,10 +33,8 @@ 33 33 ((( 34 34 **See also:** 35 35 36 -* [[Retail Engine AI integration>>doc:Main.Retail_Engine_AI.LoymaxAI_integration.WebHome]] 37 37 * [[Recommendation system integration>>doc:Main.General_information.Loymax_Loyalty.Recommendation_systems.WebHome]] 38 -* [[Product recommendations for personaliz edmailingsand website>>doc:Main.Retail_Engine_AI.Commercial_recommendations.WebHome]]37 +* [[Product recommendations for personalizing messaging and website content>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.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]] 39 +* [[Personal offers using Machine Learning mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]] 42 42 )))