Elevating Sales Forecasting Powered By Artificial Intelligence

The present day enterprise panorama is described through huge dynamism and unpredictability.In this kind of climate, generating correct income forecasts serves now no longer simplest as a monetary vital however additionally as a strategic device for green aid allocation, hazard mitigation, and fostering sustainable sales growth.This studies paper investigates the evolving area of AI-pushed income forecasting, specializing in leveraging algorithms to layout a user-pleasant graphical interface that grants more desirable income insights.The observe evaluates the strengths and obstacles of those methodologies, especially in phrases of forecasting precision.Unlike conventional strategies that regularly battle with complicated scenarios, AI fashions excel at reading enormous datasets and uncovering nuanced styles in purchaser behavior, ensuing in forecasts which might be each greater correct and reliable.Additionally, this observe conducts a comparative evaluation of the ARIMA and Prophet algorithms for information processing, along using Matplotlib and Seaborn for visualization to beautify comprehension.The findings spotlight AI`s transformative

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Published
2025-04-29
DOI
https://doi.org/10.34218/ijcet_16_02_028
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Elevating Sales Forecasting Powered By Artificial Intelligence

Mithun Singh Rajput, Mukesh Parmar, Shreya Patel
1 citations
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Big Data and Business Intelligence
2.28
article

Elevating Sales Forecasting Powered By Artificial Intelligence

Mithun Singh Rajput, Mukesh Parmar, Shreya Patel
article en
1 citations

Abstract

The present day enterprise panorama is described through huge dynamism and unpredictability.In this kind of climate, generating correct income forecasts serves now no longer simplest as a monetary vital however additionally as a strategic device for green aid allocation, hazard mitigation, and fostering sustainable sales growth.This studies paper investigates the evolving area of AI-pushed income forecasting, specializing in leveraging algorithms to layout a user-pleasant graphical interface that grants more desirable income insights.The observe evaluates the strengths and obstacles of those methodologies, especially in phrases of forecasting precision.Unlike conventional strategies that regularly battle with complicated scenarios, AI fashions excel at reading enormous datasets and uncovering nuanced styles in purchaser behavior, ensuing in forecasts which might be each greater correct and reliable.Additionally, this observe conducts a comparative evaluation of the ARIMA and Prophet algorithms for information processing, along using Matplotlib and Seaborn for visualization to beautify comprehension.The findings spotlight AI`s transformative

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(2)
Openalex Percentile: Top 13%
Big Data and Business Intelligence
2.28
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.

Elevating Sales Forecasting Powered By Artificial Intelligence — Mithun Singh Rajput, Mukesh Parmar, et al. · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS