ELEVATING SALES FORECASTING POWERED BY ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.34218/IJCET_16_02_028Keywords:
Sales Forecasting Using Artificial Intelligence, AI- Diven Sales Forecasting, Sales Forecasting Accuracy, Sales Prediction Using AI-Driven Techniques, ARIMA, Mathplotlib , Seaborn, Supervised Machine Learning AlgorithmsAbstract
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 capability in refining forecasting accuracy and permitting income groups to make information-pushed choices that improve operational efficiency. By integrating AI solutions, income companies can benefit deeper insights into purchaser behavior, pick out rising opportunities, and navigate the complicated present day enterprise surroundings with more agility and precision.
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The basis of neural networks: Cracking the code
https://www.iso.org/artificial-intelligence/neural-networks
Intelligent Computing on Time-Series Data Analysis
https://www.researchgate.net/figure/Work-Flow-Diagram-of-Prophet-Model_fig1_353910205
Seaborn Pairplot
https://indianaiproduction.com/seaborn-pairplot/
Key Features of Matplotlib
https://www.geeksforgeeks.org/python-introduction-matplotlib/
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Copyright (c) 2025 Mr. Mounish Rajput, Mr. Mukesh Parmar, Ms. Shreya Patel (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
