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Seasonal demand forecasting software

No more seasonal surprises. EazyStock detects demand spikes automatically so you can plan smarter and keep stock lean yet available.

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Seasonal demand

Turn seasonal peaks into opportunity

Products with seasonal demand can wreak havoc on your inventory — understock during peaks or overstock afterward. EazyStock identifies seasonal trends and adjusts your forecasts, so you hit demand perfectly without locking up capital in unnecessary stock.

Stay ahead of seasonal swings

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Automatic detection

EazyStock analyses demand history to identify seasonal patterns, even for slow-moving or low-volume items.

Seasonal profiles

Each item is assigned a demand profile, grouped for easier management.

Continuous updates

Profiles are regularly checked and adjusted to keep forecasts accurate as demand patterns shift.
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New products

Apply seasonal profiles from similar items to new SKUs so launches aren’t guesswork.
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Benefits of seasonal forecasting:

identify seasonal demand
  • Prevent stockouts during peak demand
  • Avoid leftover inventory and discounting at season’s end
  • Improve forecast accuracy across seasonal and non-seasonal items
  • Save time with automated detection and profile updates
  • Confidently plan new product launches with seasonal behaviour

Frequently Asked Questions about seasonal demand forecasting

Find answers to the most common questions about managing seasonality in inventory and how EazyStock helps you stay in control. 

Seasonality occurs when products experience regular peaks and troughs in demand at certain times of the year. This could be due to holidays, festivals, weather patterns, or seasonal activities such as Christmas, Diwali, summer holidays, or winter sports. 

Without accurate seasonal forecasting, businesses risk stockouts during peak demand and excess inventory at season end. Seasonal forecasting ensures you have enough stock to capture sales opportunities while avoiding costly overstocks. 

Seasonal demand can be identified by analysing sales data to spot repeating patterns year-on-year. EazyStock automates this process, detecting seasonal demand even in low-volume or irregular SKUs, and applies seasonal profiles to guide replenishment. 

EazyStock uses AI and machine learning to identify seasonal patterns and create demand profiles for each item. These profiles are automatically factored into replenishment calculations, ensuring stock levels rise and fall in line with expected demand. 

Yes. EazyStock continually monitors seasonal profiles and adjusts them if patterns change. This ensures forecasts remain accurate and responsive to shifts in customer behaviour. 

EazyStock allows you to apply seasonal profiles from similar or replacement items to new SKUs. This enables accurate forecasting from day one, even without historical sales data. 

By automating seasonal demand forecasting, businesses can reduce manual work, improve service levels, avoid excess stock, and gain an edge over competitors by meeting seasonal demand more effectively.