Demand Forecasting in the Tunisian Pharmaceutical Industry: A Comparative Study

The findings provide a strong quantitative basis for Tunisian pharmaceutical companies to adopt advanced machine learning techniques for more reliable planning. However, to fully realize the potential of these techniques and address the limitations outlined in this research, future research should explore hybrid models and integrate extended datasets that incorporate external market dynamics and trends.

Authors

Institutions

Publication Details

Journal
Recent Patents on Biotechnology
Published
2025-10-09
DOI
https://doi.org/10.2174/0118722083394111250929111803
Citations
1
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demand Forecasting in the Tunisian Pharmaceutical Industry: A Comparative Study

Mariem Mrad, Younes Boujelbène
1 citations
Recent Patents on Biotechnology
Advanced Statistical Process Monitoring
1.40
article

Demand Forecasting in the Tunisian Pharmaceutical Industry: A Comparative Study

Mariem Mrad, Younes Boujelbène
article en
1 citations

Abstract

The findings provide a strong quantitative basis for Tunisian pharmaceutical companies to adopt advanced machine learning techniques for more reliable planning. However, to fully realize the potential of these techniques and address the limitations outlined in this research, future research should explore hybrid models and integrate extended datasets that incorporate external market dynamics and trends.

Recent Patents on BiotechnologyVol. 20
University of Sfax (TN)
Openalex Percentile: Top 12%
Advanced Statistical Process Monitoring
1.40
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.