{"id":5764,"date":"2022-06-23T12:36:27","date_gmt":"2022-06-23T12:36:27","guid":{"rendered":"https:\/\/ivymobility.com\/?post_type=blog&p=5764"},"modified":"2024-09-13T16:42:22","modified_gmt":"2024-09-13T16:42:22","slug":"reimagining-intelligent-solutions-to-boost-consumer-goods-sales-by-5","status":"publish","type":"blog","link":"https:\/\/ivymobility.com\/fr\/blog\/reimagining-intelligent-solutions-to-boost-consumer-goods-sales-by-5\/","title":{"rendered":"R\u00e9imaginer des solutions intelligentes pour stimuler les ventes de biens de consommation par 5%"},"content":{"rendered":"

Si vous \u00eates un passionn\u00e9 de num\u00e9risation et de technologie, vous connaissez les recommandations et la mani\u00e8re dont elles peuvent changer votre fa\u00e7on de travailler gr\u00e2ce \u00e0 des suggestions et des informations. Cependant, peu de gens savent combien de travail est n\u00e9cessaire pour cr\u00e9er un moteur de recommandation hautement efficace et les v\u00e9ritables difficult\u00e9s auxquelles les data scientists sont confront\u00e9s pour obtenir ces r\u00e9sultats.<\/p>\n\n\n\n

Construire un Recommender \u00e0 partir de z\u00e9ro, en partant de l\u2019intuition qu\u2019il deviendra l\u2019une des inventions les plus recherch\u00e9es de tous les temps, est une histoire qui m\u00e9rite d\u2019\u00eatre lue. Preeti Menon, qui cherche \u00e0 perfectionner une avanc\u00e9e technologique relativement nouvelle et rapide, partage son histoire et lutte pour faire d'Ivy Recommender l'un des recommandateurs les plus pr\u00e9cis et les plus exploitables actuellement disponibles sur le march\u00e9.<\/p>\n\n\n\n

Concevoir l'avenir<\/strong><\/h4>\n\n\n\n

Comme d\u2019habitude, nos strat\u00e8ges produits ont con\u00e7u cette id\u00e9e en avance sur son temps et l\u2019ont mise en \u0153uvre. Notre industrie des biens de consommation<\/a><\/strong> nos connaissances et notre passion pour rendre nos solutions meilleures et plus intelligentes nous ont aid\u00e9s \u00e0 passer d'une plate-forme commerciale unifi\u00e9e \u00e0 une route intelligente vers le march\u00e9. Nous pourrions cr\u00e9er un mod\u00e8le fonctionnel avec une pr\u00e9cision de 95% en 1 an et demi.<\/p>\n\n\n\n

\"Solutions<\/figure>\n\n\n\n

Perfectionner l'algorithme <\/strong><\/h4>\n\n\n\n

D\u00e8s le d\u00e9but, nos \u00e9quipes avaient une mission, une id\u00e9e et une vision cibl\u00e9es. Nous avons cr\u00e9\u00e9 un algorithme presque parfait qui fonctionnerait pour des entreprises dont la taille et les offres varient consid\u00e9rablement. Malgr\u00e9 tous les hauts et les bas lors de la cr\u00e9ation de la solution, nous pensions qu\u2019un facteur intelligent changerait la fa\u00e7on dont les entreprises de biens de consommation se concentrent sur leurs clients.<\/p>\n\n\n\n

Avec l\u2019aide de data scientists et de d\u00e9veloppeurs, l\u2019\u00e9quipe a personnalis\u00e9 l\u2019algorithme pr\u00e9s\u00e9lectionn\u00e9 pour r\u00e9pondre aux besoins sp\u00e9cifiques de notre niche. Une optimisation rapide nous a aid\u00e9 \u00e0 rencontrer et \u00e0 r\u00e9ussir dans l'industrie normes de performance des recommandataires<\/strong><\/a>Au fur et \u00e0 mesure que le d\u00e9veloppement progressait, l'\u00e9quipe s'est \u00e9galement rendu compte que le mod\u00e8le statique habituel ne fonctionnerait pas. Nous avons donc d\u00fb recr\u00e9er un mod\u00e8le dynamique qui utilisait les r\u00e9sultats des op\u00e9rations pr\u00e9c\u00e9dentes et les retravaillait pour apprendre, augmentant ainsi la pr\u00e9cision des r\u00e9sultats du moteur AI&ML.<\/p>\n\n\n\n

Am\u00e9liorer la performance<\/b><\/h4>\n\n\n\n
\"Solutions<\/figure>\n\n\n\n

L'\u00e9quipe esp\u00e9rait offrir \u00e0 nos clients une augmentation de revenus d'au moins 2% en favorisant les ventes dans les magasins comparables. Ce retour sur investissement \u00e9tait un pari que n\u2019importe quel DSI du monde CPG aurait volontiers pris. Au fil du temps, notre \u00e9quipe a atteint une croissance des revenus de 5% gr\u00e2ce \u00e0 notre algorithme dynamique pour une poign\u00e9e de clients, et nous esp\u00e9rons voir un chiffre encore meilleur.<\/p>\n\n\n\n

Avec des ann\u00e9es de donn\u00e9es, notre solution rassemble des informations intelligentes et des recommandations exploitables qui simplifient les strat\u00e9gies de vente des agents sur le terrain, leur permettant d'atteindre leurs KPI plus rapidement tout en aidant les fabricants \u00e0 g\u00e9n\u00e9rer plus de revenus en mettant en \u0153uvre notre solution.<\/p>\n\n\n\n

N\u00e9 entreprises de produits de grande consommation num\u00e9riques<\/strong><\/a> ont collect\u00e9 des donn\u00e9es de mani\u00e8re al\u00e9atoire, alors que les entreprises traditionnelles n'ont jamais eu la possibilit\u00e9 de consulter leurs donn\u00e9es en un seul endroit. Au fil des ann\u00e9es, nous avons aid\u00e9 certains grands conglom\u00e9rats \u00e0 collecter et stocker des donn\u00e9es dans un seul data mart afin d'identifier et de r\u00e9cup\u00e9rer des informations exploitables. Notre \u00e9quipe a obtenu un soutien constant et des recommandations de nos clients, qui nous ont facilement aid\u00e9s \u00e0 int\u00e9grer des informations pr\u00e9cieuses pour rendre leur outil de recommandation plus robuste et plus puissant.<\/p>\n\n\n\n

Des cas d'utilisation futuristes au profit des clients<\/b><\/h4>\n\n\n\n

Avec acc\u00e8s aux donn\u00e9es historiques, Recommandateur de lierre<\/a><\/strong> peut guider les \u00e9quipes commerciales avec des recommandations \u00e9prouv\u00e9es et test\u00e9es dans les magasins du m\u00eame segment en fonction des donn\u00e9es d\u00e9mographiques pour aider \u00e0 produire des r\u00e9sultats garantis. Ces recommandations incluent les prochains meilleurs SKU, les lignes incontournables, en plus de fournir une formation et un d\u00e9veloppement aux agents des forces de terrain.
\u2014\u2013<\/p>\n\n\n\n

Terminons par une citation de Pr\u00e9\u00e9ti<\/a><\/strong>"Les syst\u00e8mes de recommandation intelligents n'ont pas encore pris d'assaut le monde des produits de grande consommation, et nous sommes d\u00e9j\u00e0 en train de construire un produit prometteur d'\u00e9volutivit\u00e9 et de succ\u00e8s assur\u00e9."<\/p>\n\n\n\n

En savoir plus sur Ivy Recommender ici<\/a><\/p>","protected":false},"featured_media":5771,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false},"categories":[14],"class_list":["post-5764","blog","type-blog","status-publish","has-post-thumbnail","hentry","categories-blog"],"acf":[],"yoast_head":"\nReimagining Intelligent Solutions to Boost Consumer Goods Sales by 5%<\/title>\n<meta name=\"description\" content=\"Building a concept to actualization of the idea into a fully functional feature is a feat in itself. 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