{"id":11485,"date":"2025-11-28T17:48:56","date_gmt":"2025-11-28T20:48:56","guid":{"rendered":"https:\/\/mpl.com.br\/?p=11485"},"modified":"2025-12-16T09:50:57","modified_gmt":"2025-12-16T12:50:57","slug":"the-service-revolution-in-the-pet-sector-how-artificial-intelligence-transforms-feed-prescription-and-generates-sales","status":"publish","type":"post","link":"https:\/\/mpl.com.br\/en\/a-revolucao-do-atendimento-no-setor-pet-como-a-inteligencia-artificial-transforma-a-prescricao-de-racoes-e-gera-vendas\/","title":{"rendered":"The Service Revolution in the Pet Sector: How Artificial Intelligence Transforms Feed Prescription and Generates Sales"},"content":{"rendered":"<p><span style=\"font-weight: 400\">The ever-expanding and highly competitive animal nutrition market demands unparalleled precision from manufacturers when it comes to recommending products. The modern consumer's buying journey, driven by the search for animal health and welfare, often comes up against a <\/span><b>structural challenge<\/b><span style=\"font-weight: 400\">: the difficulty in converting the technical excellence of the feed composition into a <\/span><b>predictive personalization<\/b><span style=\"font-weight: 400\"> and accessible to the end customer.<\/span><\/p>\n<p><b>The Mass Customization Gap<\/b><\/p>\n<p><span style=\"font-weight: 400\">Traditional customer service often fails to provide the level of technical detail required by the complexity of diets <\/span><i><span style=\"font-weight: 400\">pet<\/span><\/i><span style=\"font-weight: 400\">. Consumer questions about dosage, specific race or health conditions get lost in generic channels, resulting in:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Erosion of trust:<\/b><span style=\"font-weight: 400\"> The lack of immediate and technically based answers leads consumers to a state of <\/span><b>decision-making uncertainty<\/b><span style=\"font-weight: 400\">, and delaying or aborting the purchase conversion.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Loss of Strategic Data:<\/b><span style=\"font-weight: 400\"> Unstructured interactions no longer feed the <\/span><i><span style=\"font-weight: 400\">dataset<\/span><\/i><span style=\"font-weight: 400\"> of the company, preventing the generation of <\/span><b>insights<\/b><span style=\"font-weight: 400\"> crucial about the real demands of the market and the <\/span><i><span style=\"font-weight: 400\">gaps<\/span><\/i><span style=\"font-weight: 400\"> of the product portfolio. The absence of predictive analysis makes sales planning reactive rather than proactive.<\/span><\/li>\n<\/ul>\n<p><b>Iris: The High Resolution Solution for Animal Nutrition<\/b><\/p>\n<p><span style=\"font-weight: 400\">MPL has improved the digital assistant <\/span><b>Iris<\/b><span style=\"font-weight: 400\"> of the Integrated Cooperative, establishing a new service standard that can be replicated and adapted by feed manufacturing companies. This project is a <\/span><i><span style=\"font-weight: 400\">case<\/span><\/i><span style=\"font-weight: 400\"> successful because of its architecture focused on conversion and <\/span><b>awareness of the recommendation<\/b><span style=\"font-weight: 400\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Applied Computer Vision (OCI Vision):<\/b><span style=\"font-weight: 400\"> The difference lies in Iris's ability to use <\/span><b>Artificial intelligence and computer vision<\/b><span style=\"font-weight: 400\"> to analyze an image of the pet. The system identifies the breed and uses this information as an input variable for a recommendation algorithm.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Instant Technical Prescription:<\/b><span style=\"font-weight: 400\"> Based on the animal's characteristics and the chemical composition of the Cooperative's feed, Iris suggests the ideal product instantly and with high technical assertiveness. In addition, she offers a <\/span><b>daily dosage calculator<\/b><span style=\"font-weight: 400\"> to ensure the right nutritional balance, transforming the <\/span><i><span style=\"font-weight: 400\">chatbot<\/span><\/i><span style=\"font-weight: 400\"> in a real <\/span><b>virtual nutritionist<\/b><span style=\"font-weight: 400\">.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Optimized Buying Journey:<\/b><span style=\"font-weight: 400\"> After the recommendation, the system not only converts the information into direct sales, but also generates a list of the nearest physical stores based on the customer's geolocation, seamlessly integrating the digital and physical experience.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">This intelligent use of <\/span><b>Oracle Digital Assistant (ODA)<\/b><span style=\"font-weight: 400\"> and <\/span><b>Natural Language Processing (NLP)<\/b><span style=\"font-weight: 400\">, combined with the <\/span><b>image analysis<\/b><span style=\"font-weight: 400\">, redefines customer service, making service a <\/span><b>sales intelligence center<\/b><span style=\"font-weight: 400\"> and a source of data for product development.<\/span><\/p>\n<p><b>The Recognition of Technological Excellence<\/b><\/p>\n<p><span style=\"font-weight: 400\">The excellence and innovation of this architecture has been validated by the international technology community. The Iris project, focused on bringing predictive personalization to agribusiness and the market <\/span><i><span style=\"font-weight: 400\">pet<\/span><\/i><span style=\"font-weight: 400\">, earned MPL the <\/span><b>Innovation Award in the Oracle Cloud category for Latin America<\/b><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This recognition attests to the fact that MPL has the <\/span><i><span style=\"font-weight: 400\">expertise<\/span><\/i><span style=\"font-weight: 400\"> to integrate <\/span><i><span style=\"font-weight: 400\">cloud<\/span><\/i><span style=\"font-weight: 400\"> mission-critical with <\/span><b>Artificial intelligence<\/b><span style=\"font-weight: 400\"> state-of-the-art solutions that not only solve operational problems, but also generate a <\/span><b>competitive advantage<\/b><span style=\"font-weight: 400\"> sustainable for the animal nutrition sector.<\/span><\/p>\n<p><span style=\"font-weight: 400\">With over 40 years' experience, MPL is a national benchmark in specialized solutions for JD Edwards, offering high-performance deployment, rollouts, updates and technical support. In addition, the company stands out in digital transformation and technological innovation through MPL INOVA, a unit dedicated to Generative Artificial Intelligence, Machine Learning, intelligent automation and predictive analysis. With an NPS of 99% and more than 1,000 end users served throughout Brazil, MPL stands out for its reliability, agility and strategic partnership with its clients <\/span><b>delivering technology with purpose, innovation with security and sustainable results for the future.<\/b><\/p>\n<p><span style=\"font-weight: 400\">For animal feed companies looking to transform customer service into a powerful sales channel based on data and science, the <\/span><b>predictive personalization<\/b><span style=\"font-weight: 400\"> is the next step. We invite you to explore how <\/span><b>Computer Vision<\/b><span style=\"font-weight: 400\"> and MPL's recommendation algorithms can leverage your brand and boost your sales.<\/span><\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>O mercado de nutri\u00e7\u00e3o animal, em constante expans\u00e3o e alta competitividade, exige das empresas fabricantes uma precis\u00e3o inigual\u00e1vel na recomenda\u00e7\u00e3o de produtos. A jornada de compra do consumidor moderno, movida pela busca por sa\u00fade e bem estar animal, esbarra frequentemente em um desafio estrutural: a&#8230;<\/p>","protected":false},"author":26,"featured_media":11486,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wds_primary_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11485","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/11485","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/comments?post=11485"}],"version-history":[{"count":0,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/11485\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/media\/11486"}],"wp:attachment":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/media?parent=11485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/categories?post=11485"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/tags?post=11485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}