Sales Force Distribution with Linear Programming for a Telecommunications Company

The current investigation aims to develop an annual sales force plan using linear programming, directed at enhancing the sales forecast for a telecommunications company. To undertake this study, the company's internal landscape was examined since the empirical approach to the product line's strategy has previously resulted in missed opportunities for high-season sales. To attain the stated objective, an initial step involved conducting an interview with the sales manager. This interview shed light on the company's operational procedures and its existing strategy. This data proved essential in defining variables, the objective function, and the constraints of the model. The outcomes of the investigation encompassed crucial insights gained from the interview, which included information concerning the quantity of salespeople, monthly targets, and overall company strategies. Armed with this data, the subsequent phase involved crafting a mathematical model, delineating the allocation of salespeople per territory monthly throughout the year. Finally, the model underwent validation to ascertain its efficacy, achieved through a comparative analysis between the current methodology and the proposed approach.

Authors

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.21872/2024iise_8117
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sales Force Distribution with Linear Programming for a Telecommunications Company

Andrea Flores, Paola Pascua
Supply Chain and Inventory Management
article

Sales Force Distribution with Linear Programming for a Telecommunications Company

Andrea Flores, Paola Pascua
article en

Abstract

The current investigation aims to develop an annual sales force plan using linear programming, directed at enhancing the sales forecast for a telecommunications company. To undertake this study, the company's internal landscape was examined since the empirical approach to the product line's strategy has previously resulted in missed opportunities for high-season sales. To attain the stated objective, an initial step involved conducting an interview with the sales manager. This interview shed light on the company's operational procedures and its existing strategy. This data proved essential in defining variables, the objective function, and the constraints of the model. The outcomes of the investigation encompassed crucial insights gained from the interview, which included information concerning the quantity of salespeople, monthly targets, and overall company strategies. Armed with this data, the subsequent phase involved crafting a mathematical model, delineating the allocation of salespeople per territory monthly throughout the year. Finally, the model underwent validation to ascertain its efficacy, achieved through a comparative analysis between the current methodology and the proposed approach.

Openalex Percentile: Top 49%
Supply Chain and Inventory Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sales Force Distribution with Linear Programming for a Telecommunications Company — Andrea Flores, Paola Pascua · (2024) | TGRS Research Map | TGRS