Novel E-Hailing is a Proof of Concept (POC) app specifically designed for testing and evaluating an algorithm that utilizes a Machine Learning model to address existing pricing issues. The app serves as a platform for testing the effectiveness and efficiency of the algorithm and is not intended for business or commercial use. With Novel E-Hailing, the client can assess the algorithm's performance and gather valuable insights to refine and optimize pricing strategies. This POC app is a valuable tool for exploring innovative solutions in the e-hailing industry and driving improvements in pricing mechanisms.
Scope of Work
Our scope of work for the Novel E-Hailing project is to develop and implement a Proof of Concept (POC) app that tests and evaluates an algorithm utilizing a Machine Learning model to address existing pricing issues. Our goal is to create a platform where the client can assess the algorithm's effectiveness and efficiency in optimizing pricing strategies. We will work closely with the client to understand their requirements and develop the app to accurately simulate real-world scenarios. Through rigorous testing and analysis, we aim to provide valuable insights and recommendations to refine and enhance the pricing mechanisms in the e-hailing industry.
By providing this comprehensive solution, we enabled the client to evaluate and optimize their pricing strategies using the algorithm and Machine Learning model. Our focus on accuracy, testing, and analysis empowered the client to drive improvements in the e-hailing industry, leading to more efficient and customer-centric services.3. Our solution for the Novel E-Hailing project involved the following services and technologies:
- Development and implementation of a Proof of Concept (POC) app for testing and evaluating an algorithm that utilizes a Machine Learning model to address pricing issues in the e-hailing industry.
- Collaborative requirements gathering to understand client's specific requirements and objectives for the POC app.
- Rigorous testing and analysis of the algorithm within the app, aiming to provide the client with valuable insights and recommendations to refine and enhance pricing strategies.
- Leveraged the power of Python and ReactJS to develop the POC app, harnessing the capabilities of these technologies to create a robust and efficient platform.