sales-forecast-model – AI Model by Abhik19 | AlphaNeural AI

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Abhik19/
sales-forecast-model

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Sales Forecast Model

Model Description

This model predicts Product_Store_Sales_Total (revenue) based on product and store attributes.

Best Model: Random Forest

Performance Metrics

Metric	Train	Test
R²	0.9714	0.9312
RMSE	179.95	280.16
MAE	65.18	107.08

Features Used

Product_Weight
Product_Allocated_Area
Product_MRP
Store_Age
Product_Sugar_Content_Encoded
Product_Type_Encoded
Store_Size_Encoded
Store_Location_City_Type_Encoded
Store_Type_Encoded

Usage

python

from huggingface_hub import hf_hub_download
import joblib

# Download model
model_path = hf_hub_download(repo_id="Abhik19/sales-forecast-model", filename="best_model.joblib")
model = joblib.load(model_path)

# Make predictions
predictions = model.predict(X)

Business Context

Accurate sales forecasting helps:

Plan sales operations by region
Optimize supply chain procurement
Reduce sales pipeline risks
Establish benchmarks for trend analysis