Natural Language Processing Integrated into a CRM System for Document Control and Sales Logistics at a Car Dealership

Abstract

Weighting queries to car manufacturers determines possible options for developing CRM systems. The results of commercial statistics on sales in the automotive sector guide, for example, the distribution of models and colours in vehicles and comfort ranges depending on customer selections in each country's geographic area. Accordingly, this allows GM to improve the logistics of production and distribution of vehicle needs, including control over lean manufacturing processes and the methodology of transporting products on demand, whether from a national or foreign plant, to define delivery schedules. The development of microservices for CRM, implementing in their programming the use of APIs of distributed functionality platforms such as LeadIT, can be obtained through a LeadIT External Web Service layer and optimised with testing tools for secure information exchange protocols and optimised with natural language processing analysis tools through artificial intelligence training. As a result, greater efficiency is achieved in the accuracy and protection of sensitive data and a system that benefits the company-marketer-consumer combination.