Manuscript Number : SHISRRJ225526

A Multivariate Analysis Model for Predicting Sales Performance Based on Inventory and Delivery Metrics

Authors(3) :-Opeyemi Morenike Filani, John Oluwaseun Olajide, Grace Omotunde Osho

Sales performance in competitive markets is significantly influenced by underlying supply chain operations, particularly inventory levels and delivery performance. For businesses to gain actionable insights into future sales outcomes, integrating predictive analytics grounded in multivariate statistical methods is increasingly critical. This paper presents a comprehensive literature-based model that leverages multivariate analysis—including regression, principal component analysis (PCA), and structural equation modeling (SEM)—to forecast sales performance using inventory turnover, stockout frequency, lead time variability, and order fulfillment rates as key predictors. Drawing upon over 100 scholarly sources, the study proposes a conceptual framework that links logistics KPIs with sales outcomes. The model is designed to inform strategic decisions in retail and manufacturing sectors where demand-supply synchronization is essential. The paper includes an in-depth introduction and literature review, followed by model development, discussion, and policy recommendations. It offers a foundation for businesses aiming to deploy data-driven strategies for improving sales forecasting accuracy in dynamic supply environments.

Authors and Affiliations

Opeyemi Morenike Filani
Proburg Ltd, Lagos, Nigeria
John Oluwaseun Olajide
Lipton, Nigeria
Grace Omotunde Osho
Guinness Nig. Plc, Nigeria

Sales Performance, Inventory Turnover, Delivery Metrics, Multivariate Analysis, Predictive Modeling, Supply Chain Analytics

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Publication Details

Published in : Volume 5 | Issue 5 | September-October 2022
Date of Publication : 2022-09-10
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 156-175
Manuscript Number : SHISRRJ225526
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Opeyemi Morenike Filani, John Oluwaseun Olajide, Grace Omotunde Osho, "A Multivariate Analysis Model for Predicting Sales Performance Based on Inventory and Delivery Metrics", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 5, Issue 5, pp.156-175, September-October.2022
URL : https://shisrrj.com/SHISRRJ225526

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