Inventory Demand Forecast
Predict inventory needs 8 weeks out based on sales trends, seasonal patterns, and upcoming campaigns
Shopify integration that forecasts demand for each SKU using historical sales data, seasonality, and campaign calendar, helping you order the right quantities.
Nora analyzes 12–24 months of sales data per SKU and identifies patterns: seasonal spikes (holiday sales up 300%), weekly patterns (weekends vs weekdays), and growth trends (sales up 10%/month). It factors in your upcoming campaigns ('Black Friday sale', 'New product launch', 'Back-to-School') to forecast demand 8 weeks ahead. Example forecast: 'Blue Hoodie XL: Normal week 25 units/week. Black Friday (week 8): 150 units/week (6x spike). Post-holiday (weeks 9–12): 35 units/week. Recommend stock 600 units by week 6.' This prevents two problems: stockouts during high-demand periods and excess inventory during slow periods. A 50-SKU store reduces carrying costs by 15–20% and improves in-stock rate from 85% to 96%. Nora updates forecasts weekly, adjusting as you hit actual sales targets. You can override forecasts manually if you have insider knowledge (launching a major campaign, planning a price cut). The forecast ties to your supplier lead times—if lead time is 6 weeks, Nora's forecast window is 8 weeks to give ordering buffer.
How it works
- Pull 12+ months of historical sales data per SKU
- Identify seasonal patterns and growth trends
- Factor in campaign calendar (sales, launches, holidays)
- Calculate demand forecast for next 8 weeks per SKU
- Determine safety stock and optimal reorder quantity
- Account for supplier lead time in forecast
- Send forecast report with recommendations
Frequently asked questions
What does "Inventory Demand Forecast" do?
Shopify integration that forecasts demand for each SKU using historical sales data, seasonality, and campaign calendar, helping you order the right quantities.
How long does setup take?
Under 5 minutes. Connect your tools and Nora handles the rest.
Which tools does this use?
Uses Shopify, run by your Operations Manager.
How much time does this save?
Saves approximately 4 hours/week, running weekly on monday at 7:00 am.