Transform Your Inventory Management with AI-Powered Demand Forecasting

Upload your historical sales data and get accurate demand predictions to optimize stock allocation across regions, reduce excess inventory, and maximize sales opportunities.

Complete Demand Forecasting Solution

Smart Data Processing
Upload CSV/Excel files with automatic data cleaning, validation, and feature engineering. Missing values handled intelligently.
Advanced ML Models
Prophet, ARIMA, and LSTM models detect seasonal patterns, trends, and regional variations for accurate demand predictions.
Interactive Analytics
Comprehensive dashboards with time series plots, regional analysis, category performance, and promotion impact insights.
Actionable Reports
Download detailed forecasts as CSV and comprehensive business insights as PDF reports for stakeholder presentations.

How It Works

1

Upload Sales Data

Upload your historical sales data with required columns. System automatically validates and cleans your data.

2

Analyze Patterns

Explore interactive analytics showing sales trends, regional patterns, category performance, and seasonal insights.

3

Generate Forecasts

Specify products, regions, and date ranges to generate accurate demand predictions using advanced ML models.

4

Optimize Inventory

Download actionable insights and forecasts to optimize stock allocation and improve inventory management.

Data Requirements

Required Dataset Columns
Your dataset must contain these exact columns for accurate forecasting
date

Transaction date (any format)

product_id

Unique product identifier

product_name

Product name or description

category

Product category

region

Sales region or location

quantity_sold

Units sold (target variable)

price

Unit price

promotion_flag

Promotion indicator (0/1)

discount_percentage

Discount applied (%)

inventory_on_hand

Available inventory

Ready to Optimize Your Inventory?

Start forecasting demand with your historical sales data in minutes.