Demand Forecasting

Know What to Order Before You Run Out

Stop guessing how much inventory to buy. ReplenishRadar analyzes your sales data to predict future demand, factoring in trends, seasonality, and sales velocity.

How It Works

1. Connect your store - Link your Shopify or Amazon account in minutes
2. We analyze your sales - Our algorithms process your order history to identify patterns
3. Get forecasts - See predicted demand for each SKU over the next 30, 60, or 90 days

What Makes Our Forecasting Different

Unlike spreadsheet-based planning, ReplenishRadar continuously updates forecasts as new sales come in. You're always working with current data, not last month's snapshot.

Seasonality detection - We automatically identify seasonal patterns in your sales, so you're prepared for Q4 rushes or summer slowdowns.

Trend analysis - Growing SKUs get flagged before they stockout. Declining SKUs get flagged before you over-order.

Velocity-based safety stock - We calculate safety stock based on how fast items actually sell, not arbitrary rules.

How Our Forecasting Works

We believe you should understand exactly how your forecasts are generated. Here is what happens under the hood.

Data inputs. We analyze your historical sales data from Shopify and Amazon: order velocity, seasonal patterns, trend direction, and promotional effects. The more history you have, the more the engine can work with, but it starts producing useful results from day one with whatever data is available.

Algorithm approach. Our forecasting engine is velocity and demand-stats driven. It computes daily sales rates with recent data weighted more heavily than older data, and layers in trend detection and variance analysis. For products with 24+ months of history, full seasonal decomposition automatically adjusts predictions by time of year. There is no opaque neural network or unexplainable model. Every number traces back to your sales data and the parameters you can see and adjust.

Accuracy timeline. With 30 days of sales data, you get usable velocity-based predictions. With several months of data, the engine detects trends and demand shifts. At 24+ months, year-over-year seasonal decomposition produces the most accurate long-range forecasts. You can always override any forecast with your own knowledge: product launches, planned promotions, or discontinuations.

Safety stock. Safety stock calculations factor in demand variability AND supplier lead time variability, not just average demand. This means your reorder points account for the worst-case combination of higher-than-normal demand and slower-than-usual supplier delivery. You set the service level target (default 95%), and the math handles the rest.

What makes it different. Unlike tools that forecast in isolation per channel, ReplenishRadar forecasts net demand across all your channels and adjusts for returns, accounting for the actual sellable inventory across your business. A sale on Shopify and a sale on Amazon both draw from the same forecast, so you are never double-ordering or missing demand from a channel you forgot to check.

Built for Multi-Channel Sellers

If you sell on both Shopify and Amazon, we combine your sales data to give you one unified forecast. No more managing separate spreadsheets for each channel.

Related Features

• Unified Inventory - See all stock across channels in one view
• Purchase Orders - Turn forecasts into actionable POs
• Transfer Suggestions - Know when to replenish FBA

Learn More

• Inventory Forecasting 101 - Deep dive into forecasting methods
• Safety Stock Calculation Guide - How we calculate buffer stock
• Stockout Cost Calculator - See the true cost of running out

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