28 Nov The Service Revolution in the Pet Sector: How Artificial Intelligence Transforms Feed Prescription and Generates Sales

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 structural challenge: the difficulty in converting the technical excellence of the feed composition into a predictive personalization and accessible to the end customer.

The Mass Customization Gap

Traditional customer service often fails to provide the level of technical detail required by the complexity of diets pet. Consumer questions about dosage, specific race or health conditions get lost in generic channels, resulting in:

• Erosion of trust: The lack of immediate and technically based answers leads consumers to a state of decision-making uncertainty, and delaying or aborting the purchase conversion.
• Loss of Strategic Data: Unstructured interactions no longer feed the dataset of the company, preventing the generation of insights crucial about the real demands of the market and the gaps of the product portfolio. The absence of predictive analysis makes sales planning reactive rather than proactive.

Iris: The High Resolution Solution for Animal Nutrition

MPL has improved the digital assistant Iris of the Integrated Cooperative, establishing a new service standard that can be replicated and adapted by feed manufacturing companies. This project is a case successful because of its architecture focused on conversion and awareness of the recommendation:

• Applied Computer Vision (OCI Vision): The difference lies in Iris's ability to use Artificial intelligence and computer vision to analyze an image of the pet. The system identifies the breed and uses this information as an input variable for a recommendation algorithm.
• Instant Technical Prescription: 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 daily dosage calculator to ensure the right nutritional balance, transforming the chatbot in a real virtual nutritionist.
• Optimized Buying Journey: 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.

This intelligent use of Oracle Digital Assistant (ODA) and Natural Language Processing (NLP), combined with the image analysis, redefines customer service, making service a sales intelligence center and a source of data for product development.

The Recognition of Technological Excellence

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 pet, earned MPL the Innovation Award in the Oracle Cloud category for Latin America.

This recognition attests to the fact that MPL has the expertise to integrate cloud mission-critical with Artificial intelligence state-of-the-art solutions that not only solve operational problems, but also generate a competitive advantage sustainable for the animal nutrition sector.

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 delivering technology with purpose, innovation with security and sustainable results for the future.

For animal feed companies looking to transform customer service into a powerful sales channel based on data and science, the predictive personalization is the next step. We invite you to explore how Computer Vision and MPL's recommendation algorithms can leverage your brand and boost your sales.