Commercial Model to Increase Sales through Mixed Methodologies in an Automotive Retailer

Hansell Farfan-Pena, Mirko Guibovich-Jara, Juan Carlos Quiroz-Flores, Alberto Flores-Perez

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

1 Scopus citations

Abstract

In recent years, the digital channel of companies in the automotive retail industry has experienced considerable growth, reflected in the percentage of sales of this channel with respect to total sales. Therefore, companies that are not aligned with this growth, are those that have inefficiencies in their processes of attention to leads. Processes that consist of different procedures and essential operations that are not considered, nor are they applied efficiently, ignoring the magnitude of the impact on the company's sales. This research focuses on analyzing 4 tools to obtain a new commercial model that optimizes and improves the low conversion of leads into sales, due to inefficient lead handling processes, identified as the main problems within the company studied. The model makes use of tools such as: demand management based on Forecasting, optimization of the process as such through BPM, improvement of the CRM database through Poka Yoke, and improvement of salespeople skills under a profile standardization approach, resulting in a 15.73% improvement in the company's net profit, providing an effective commercial model with the capacity to be replicated in other companies.

Translated title of the contributionModelo Comercial para Incrementar Ventas a través de Metodologías Mixtas en una Minorista Automotriz
Original languageEnglish
Title of host publicationProceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
PublisherAssociation for Computing Machinery
Pages234-240
Number of pages7
ISBN (Electronic)9781450398527
DOIs
StatePublished - 9 Jan 2023
Event10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 - Rome, Italy
Duration: 9 Jan 202311 Jan 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
Country/TerritoryItaly
CityRome
Period9/01/2311/01/23

Keywords

  • Business Process Management
  • Forecasting
  • Poka Yoke
  • Profile Standardization

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