Catalog & Inventory
Forecasting & Demand Planning
Use historical data to predict demand and optimize stock levels.
Anticipate customer demand and plan your purchasing with data-driven forecasts built from your sales history.
Overview
Stogly's Forecasting module analyzes your historical sales data to predict future demand. Use it to:
- Reduce stockouts by ordering ahead of demand spikes
- Minimize overstock and waste from slow-moving items
- Plan purchases around seasonal patterns
- Improve cash flow by buying the right quantities at the right time
Viewing Demand Forecasts
Step 1: Open the Forecasting Dashboard
- Navigate to Inventory > Forecasting
- Select a Warehouse / Store to view forecasts for that location
- Choose a Time Range — forecasts are available for 7, 14, 30, or 90 days ahead
Step 2: Read the Forecast Chart
The forecast chart displays:
| Element | Description |
|---|---|
| Blue line | Historical sales volume |
| Green line | Predicted demand |
| Shaded area | Confidence interval (high/low range) |
| Red markers | Predicted stockout dates at current inventory levels |
Hover over any point to see the exact predicted quantity and date.
Step 3: Filter by Product or Category
- Use the Search bar to find a specific product
- Use the Category dropdown to view forecasts for an entire product group
- Toggle Show only low-stock items to focus on products nearing reorder points
Understanding Forecast Accuracy
Stogly tracks how well past forecasts matched actual sales:
| Metric | What It Means |
|---|---|
| MAPE (Mean Absolute Percentage Error) | Average percentage difference between forecast and actual — lower is better |
| Accuracy % | Overall forecast reliability score |
| Trend | Whether accuracy is improving or declining over time |
Accuracy improves as the system collects more sales data. At least 30 days of sales history is recommended for reliable forecasts.
Using Forecasts for Purchase Planning
Generate a Suggested Purchase Order
- From the Forecasting dashboard, click Plan Purchases
- Select the forecast period (e.g., next 14 days)
- The system calculates suggested order quantities based on:
- Predicted demand for the period
- Current stock levels
- Reorder points and safety stock settings
- Supplier lead times - Review the suggested items and quantities
- Click Create Purchase Order to generate a PO pre-filled with the suggested quantities
Adjust Reorder Points from Forecasts
- Open a product's forecast detail view
- Click Update Reorder Point
- The system suggests a new reorder point based on average predicted daily demand plus safety stock
- Confirm or adjust the value, then save
Seasonal Adjustments
Stogly detects recurring seasonal patterns automatically, but you can also apply manual adjustments:
- Navigate to Inventory > Forecasting > Seasonal Profiles
- Click + Create Profile or edit an existing one
- Set percentage adjustments per month (e.g., +30% for December, -15% for February)
- Assign the profile to specific products or categories
- Seasonal adjustments are layered on top of the base forecast
Tips & Best Practices
- More data, better forecasts — the system needs at least 30 days of sales history; 90+ days produces the best results
- Review weekly — check the forecast dashboard at least once a week to catch emerging trends
- Combine with alerts — set low-stock alerts alongside forecasts so you never miss a reorder window
- Account for promotions — if you plan a sale or promotion, adjust forecasts manually to avoid understocking
- Use category-level views — category forecasts help with broader purchasing decisions and budget planning
Need help? Contact support at support@stogly.com