{"id":"W7133847963","doi":"10.5220/0014187700004932","title":"Personalized Engagement Platforms for Next-Gen Digital Retail Experiences: Using AI-Powered Insights to Transform Customer Interactions and Loyalty","year":2025,"lang":"","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Customer engagement; Loyalty; Loyalty business model; Customer relationship management; Customer advocacy; Customer intelligence; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003002503,0.0006603689,0.0006413945,0.0007842374,0.001541936,0.003088323,0.001209708,0.0001943185,0.001030753],"category_scores_gemma":[0.0001263909,0.0005895431,0.0003771117,0.001450136,0.0002586982,0.008100443,0.0006530241,0.0005959024,0.00009867461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000639794,"about_ca_system_score_gemma":0.0005578878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002337938,"about_ca_topic_score_gemma":0.0004545829,"domain_scores_codex":[0.995929,0.00004814741,0.001180862,0.001411896,0.0005372542,0.0008928341],"domain_scores_gemma":[0.9972798,0.0005807867,0.0002098473,0.0008555161,0.0005969282,0.0004770997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001338735,0.001721341,0.0002969554,0.0007103632,0.001572981,0.00003402303,0.5952552,0.0009169614,0.004980353,0.1163493,0.007354506,0.2694693],"study_design_scores_gemma":[0.00206147,0.0004716073,0.00006397056,0.0007226247,0.0002021355,0.00005551809,0.1200162,0.430287,0.004181012,0.003849833,0.4368919,0.00119685],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2099466,0.0003089774,0.7629181,0.004651503,0.00368735,0.002203117,0.00004062084,0.0001853136,0.01605849],"genre_scores_gemma":[0.9666546,0.00005948393,0.01795173,0.004076936,0.000144469,0.0005787751,0.00001532291,0.00003811468,0.01048055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.756708,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06783247526149083,"score_gpt":0.340735754555306,"score_spread":0.2729032792938152,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}