Building a Data Analytics Solution to Optimize Feed Efficiency and Profitability for the clients
Vytelle customers had a legacy desktop based app that was complex and resulted in low adoption rates, making procedures slow and cumbersome.
Vytelle was looking to move its data-interaction with its customers to a responsive web app that helps them share reports and trial data by increasing system adoption rate and eliminating manual procedures.
A responsive web app developed seamless data sharing and communication network among vytelle and its customers, making its clients more responsive and informed.
Since Vytelle Sense systems used legacy on-site desktop computers, the client’s customers were accessing and communicating trial specific and other information via different mediums. This caused several operational issues for the client and its customers that are seed stocks, feedlots operators, and research institutions.
After identifying the pain points and challenges faced by the client, we created user personas and delved deeper into the problems to address the root causes of the problem.
We then used user-centric design and the lean startup method to build wireframes and approved designs for the web application with a simple and user-friendly Interface.
Our front-end developers then incorporated the wireframes and design into a responsive web application for the client and then integrated it with the backend.
After integrating with smart hardware like pens and feed intake nodes, we implemented the solution and trained the client to onboard and guide their customers.
Customers can add and manage animals with details like EID tag, pen, gender, breed, and weight. Initial enrollment enables continuous automatic updates of feed intake and weight data for each animal.
Customers can add and manage pens while leveraging automatically updated data. The system provides a comprehensive, organized view of animals based on pen allocation, improving visibility and monitoring across feedlot operations.
The solution enables Beef Genetics program customers to participate in feed efficiency trials using structured checklists, ensuring accurate data collection and reporting to evaluate animal performance and support informed, data-driven production decisions.
The application alerts users when actions are required, including health-related issues or anomalies. Animals are automatically flagged when irregular patterns are detected, helping customers quickly identify and respond to potential problems.
The solution allows the client to assign user roles and permissions. Customers can capture and access data directly within the application, reducing reliance on emails and phone calls for communication and coordination.
The client can create, update, and manage multiple sites based on operational needs. It also enables tracking of site-level data and activities without requiring access to individual customer accounts.
A centralized dashboard provides complete visibility into animal data, including automated feed intake and weight analysis. Customers can access key metrics and insights to monitor performance and support operational decision-making.
Reports are integrated with Power BI and Tableau and are accessible in real time. This allows customers to identify underperforming pens and high-performing animals, supporting better analysis and performance evaluation.
The solution helped the client to share data that can help maximize feed efficiency and leverage that to make optimal breeding decisions for feedlots, seedstocks, and research academia. It added value to the client’s business in the following ways:
The client could offer better customer service to its customers and act as the voice of the customer in the product development process.
Seedstock and feedlot owners could now identify and produce more efficient, high-performing yet low RFI seedstock, which led them to produce more food with fewer resources and at a lower cost.
The client could now track its customers in real-time and the users have full-time access to actionable insights.
Researchers are able to conduct advanced research to facilitate the beef industry to maximize efficiency as well as profitability while ensuring sustainability at the same time.
Enabled the users to predict the feed efficiency of cattle progeny from the mating options available. The client’s customers could optimize nutritional decisions and even forecast weight for herds of cattle
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