
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
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A Case Study in Efficiency: Automating Wholesale Ethernet Backhaul Quoting
Author(s) | Ravi Sankar Thinnati Palanicha |
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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 |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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