Changes for page Recommendations

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2	2	Product recommendation functionality allows you to include products selected by one of the supported algorithms based on customer preferences directly in message content.
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4	4	{{info}}
5		-Product recommendation functionality is only available when integration with the [[Retail Engine AI>>doc:Main.Loymax_AI.WebHome]] module is configured.
	5	+Product recommendation functionality is only available when integration with the [[Loymax AI>>doc:Main.Loymax_AI.WebHome]] module is configured.
6	6	{{/info}}
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8	8	(% class="box" %)
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15	15	The general recommendation generation process works as follows:
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17		-1. The marketer creates a recommendation in the Retail Engine Loyalty Platform.
	17	+1. The marketer creates a recommendation in the Loymax Loyalty Platform.
18	18	1. The marketer inserts the recommendation code into a message.
19		-1. When generating the message, Smart Communications sends a request to [[Retail Engine AI>>doc:Main.Loymax_AI.WebHome]] for recommended products.
20		-1. Retail Engine AI returns an array of products generated using the specified algorithm.
	19	+1. When generating the message, Smart Communications sends a request to [[Loymax AI>>doc:Main.Loymax_AI.WebHome]] for recommended products.
	20	+1. Loymax AI returns an array of products generated using the specified algorithm.
21	21	1. Smart Communications sends a personalized message containing the recommendations.
22	22
23		-== Creating recommendations using Retail Engine AI algorithms ==
	23	+== Creating recommendations using Loymax AI algorithms ==
24	24
25	25	To view the list of created recommendations, go to the **Recommendations** section in the left-hand panel.
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45	45	** [[Similar products>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome||anchor="HSimilarProductsalgorithm"]]. Algorithm that recommends products similar to those the customer has shown interest in.
46	46	** [[Frequently bought together>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome||anchor="HBoughtTogetheralgorithm"]]. Algorithm that recommends products frequently purchased together with products the customer has shown interest in.
47	47	** [[Personalized product recommendations>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome||anchor="HPersonalizedProductRecommendationsalgorithm"]]. Algorithm that predicts a customer’s future purchases based on their history and recommends products accordingly.
48		-** [[Manual recommendations>>||anchor="HCreatingmanualrecommendations"]]. Algorithm that recommends products based on category-matching rules without using the Retail Engine AI module.
	48	+** [[Manual recommendations>>||anchor="HCreatingmanualrecommendations"]]. Algorithm that recommends products based on category-matching rules without using the Loymax AI module.
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50	50	Configure the recommendation parameters. The available parameters depend on the selected algorithm.
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52		-* **Number of recommendations** — the number of products Retail Engine AI will return.
	52	+* **Number of recommendations** — the number of products Loymax AI will return.
53	53	* **Calculate based on** — the source from which Smart Communications will take products (for calculating recommendations using the [[Frequently bought together>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome||anchor="HBoughtTogetheralgorithm"]] and [[Similar products>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome||anchor="HSimilarProductsalgorithm"]] algorithms) or categories (for calculating recommendations using the [[Popular products in category>>doc:Main.Loymax_AI.Commercial_recommendations.WebHome||anchor="HPopularProductsinCategoryalgorithm"]] algorithm).
54	54	)))|(% style="border-color:white; text-align:center; width:30%" %)[[image:Data.png]]
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100	100	(% start="2" %)
101	101	1. Filter the array of recommended products to keep only those available for purchase in the online store (the boolean custom [[field>>doc:Main.Smart_Communications.SMC_Use.Settings_SC.Data_field.WebHome]] ##eComAvailable## equals ##true##). To do this, define a variable ##filteredRec## to store the filtered recommendations.
102	102	1. No more than 9 products (three rows of three) should be displayed in the message. Define a variable ##count_recs## as a counter: each time a product is added to the filtered recommendations array, increment the counter by 1.
103		-1. Iterate through all products and add to the array only those that haven’t already been added (in case Retail Engine AI returned the same product twice) and that are available for ordering in the online store. Also, check the counter value and add the product only if fewer than 9 recommendations have been collected.
	103	+1. Iterate through all products and add to the array only those that haven’t already been added (in case Loymax AI returned the same product twice) and that are available for ordering in the online store. Also, check the counter value and add the product only if fewer than 9 recommendations have been collected.
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105	105	{{code language="twig"}}
106	106	{% set count_recs=0 %}