RTI International
Business Objective
America alone contributed close to 250 million metric tons of waste each year which is also the highest of all the countries. Waste generation is a growing problem of the modern world and a solution has to be in place. RTI International, a globally recognized nonprofit, took it upon itself to help the environment with a virtual waste management system. It sought assistance in developing an automated web-based Municipal Solid Waste Decision Support Tool (MSW DST). However, there were some necessary aspects that we had to overcome
Business Challenge
Desktop Based Application
The existing application was localized, based on a desktop. So, for every user, a new desktop was deemed necessary, and processes became slow.
Non-Compliance To Rules
Waste management and its regulation had rules and multiple conditions that an application like MSW DST had to follow. But the existing app was not equipped with the necessary functions to do so.
Limited Object-Relational Support
From the content to the functions, everything on the front end of the application was highly complex and prevented users from making robust, data-driven decisions.
Business Solution
The solution required a revamp of both the front and back ends. We moved the application away from VB.NET and adopted ASP.NET to render a smooth flow of function and enhanced overall performance. Using jQuery, HTML, and JavaScript, we were able to tweak the front end to be simple and user-friendly. Overall, operational efficiency grew, and a centralized workflow was put in place.
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Key Features
An automated web-based Municipal Solid Wastes Decision Support Tool (MSW DST) to evaluate and solve growing environmental problems efficiently
- Highly Responsive
- Improved Efficacy
- 24 x 7 Data Availability
- User-Friendly Design
- Fewer Exception Handling
- Open-Source Web Framework
Technology Stack
Our Tech capabilities
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JQuery
-
HTML
-
JavaScript
Business Impact
We Create a Valuable Difference
Operational Efficiency increased by
98%
System up-time improved by
99%
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