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Demand Forecasting

Overview

Demand Forecasting is no longer about guesswork. At Galific, we use machine learning models to analyze your historical sales, market trends, seasonality, and behavior patterns to accurately predict future demand. Our forecasts help you plan inventory, staff, production, marketing, and procurement—so you avoid stockouts, over-ordering, and wasted spend.

What We Deliver

  • AI-powered demand predictions at the SKU or category level

  • Time series, regression, and hybrid models

  • Seasonal and trend-based adjustments

  • Actionable dashboards for planning

  • Integration with supply chain systems

Services List

Need any help?

We are here to help our customer any time. You can call on 24/7 To Answer Your Question.

+91 97794 71801

Brochure

How does AI improve demand forecasting?

AI learns from past patterns, real-time signals, and external data (like holidays or weather) to make more accurate predictions than traditional spreadsheets or BI tools.

What kind of data do I need to get started?

You’ll need sales history, SKU/product data, and optionally, promotional calendars, supply constraints, or external factors like market demand or footfall data.

Can this work for businesses with seasonal demand?

Yes! Our models are trained to detect and adjust for seasonal peaks, regional preferences, and event-driven fluctuations.

How do I use these forecasts?

Forecasts can be synced to your inventory system, shared as dashboards, or used in marketing planning. You’ll get alerts, reports, and recommendations based on what’s coming.

What’s the average accuracy of your forecasts?

With good data, our models deliver 85–95% accuracy, often improving over time as more data becomes available.

How often are the forecasts updated?

Forecasts can be run daily, weekly, or monthly, depending on your planning cycle and industry. Real-time updates are also available for volatile markets.