Jul 18, 2024
No image
Service categories
Service Lines
Software Development
Design
QA and Testing
Domain focus
Technology
Subcategories
Design
Product Design
User Experience
QA and Testing
QA
Challenge
The client offers personalized fertilization plans but faced inefficiencies in customer interactions and recommendation processes. Previously, employees spent considerable time interacting with customers, collecting data, drafting recommendations, analyzing them, and explaining results. This process was time-consuming and difficult, especially with many customers.
The challenge was to create a web application for customers to input information, receive automated recommendations with explanations, and make edits. This solution aimed to streamline operations, freeing up employees for research and improving the recommendation algorithm.
The client offers personalized fertilization plans but faced inefficiencies in customer interactions and recommendation processes. Previously, employees spent considerable time interacting with customers, collecting data, drafting recommendations, analyzing them, and explaining results. This process was time-consuming and difficult, especially with many customers.
The challenge was to create a web application for customers to input information, receive automated recommendations with explanations, and make edits. This solution aimed to streamline operations, freeing up employees for research and improving the recommendation algorithm.
Solution
The client's business challenge was addressed by creating a robust web application on the AWS platform, utilizing .NET, Angular, and PostgreSQL as the main tech stack. The project has brought about transformative changes for the client, revolutionizing the landscape of fertilization planning.
The client's business challenge was addressed by creating a robust web application on the AWS platform, utilizing .NET, Angular, and PostgreSQL as the main tech stack. The project has brought about transformative changes for the client, revolutionizing the landscape of fertilization planning.
Results
The solution effectively automated time-consuming tasks, freeing up staff to focus on research and enhancing the fertilization algorithm. This automation significantly improved operational efficiency and positioned the client as a leader in the agronomy industry, enhancing competitiveness and expanding market reach.
The solution effectively automated time-consuming tasks, freeing up staff to focus on research and enhancing the fertilization algorithm. This automation significantly improved operational efficiency and positioned the client as a leader in the agronomy industry, enhancing competitiveness and expanding market reach.