International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

A Case Study in Efficiency: Automating Wholesale Ethernet Backhaul Quoting

Author(s) Ravi Sankar Thinnati Palanicha
Country United States
Abstract The wholesale Ethernet backhaul quoting process in telecommunications poses significant challenges that hinder operational efficiency. This study explores the inefficiencies faced by the Wholesale Carrier Sales team in managing Requests for Proposals (RFPs) and Requests for Quotes (RFQs) received in Keyhole Markup Language (KMZ) format from carriers such as AT&T, Verizon, and other carriers. The manual mapping of network locations and subsequent data processing are time-consuming and prone to inaccuracies, resulting in extended response times. Our research proposes an innovative solution to automate this quoting process by developing an in-house tool that utilizes Python to streamline operations. The anticipated outcomes include reducing quote turnaround times by up to 70%, improving pricing accuracy, and enabling sales teams to engage more effectively with customers. By eliminating manual interventions, our methodology enhances organizational responsiveness and efficiency, ultimately contributing to increased customer satisfaction and sales activity.
Keywords Automation, Quoting Process, Wholesale Ethernet, Backhaul, Google Earth API, KMZ Files, Python, Telecom, Efficiency Improvement, Network Mapping, RFPs, RFQs.
Field Engineering
Published In Volume 2, Issue 2, March-April 2020
Published On 2020-04-02
DOI https://doi.org/10.36948/ijfmr.2020.v02i02.38543
Short DOI https://doi.org/g88g5v

Share this