Excel Inventory Forecasting: Smarter Stock Management Guide
Inventory forecasting predicts future product demand using past data and trends to keep stock levels balanced and reduce waste. This post shows how to use Excel for effective forecasting and when to upgrade to more advanced tools.
Updated November 18, 2025
Accurate inventory forecasting helps reduce waste, prevent obsolete stock, and keep your Shopify store financially healthy. Many brands turn to Microsoft Excel to track sales trends and demand shifts, but applying inventory forecasting models in Excel can be tricky. With the right approach, it can improve supply chain management and refine your pricing strategies.
In this post, you’ll discover practical techniques to make inventory forecasting easier, more reliable, and better aligned with your store’s goals.
» Want to optimize your stock levels for better profitability? Learn how to supercharge your Shopify inventory forecasting
Meet the Expert
Marcel is an experienced journalist and digital marketing professional who specializes in writing about complex topics like inventory optimization. With a strong foundation in SEO, he produces impactful website content that enhances online visibility.
What is Inventory Forecasting?
Inventory forecasting, or e-commerce forecasting, helps e-commerce store owners better manage their inventory by predicting future product demand based on real-time inventory trends and historical metrics, such as past sales data.
Pros and Cons of Excel for Forecasting
The Advantages: Why Start with Excel
- Cost-effective: Many businesses already have Excel, making it a low-cost solution without the need for additional software or subscriptions.
- Customizable: Users can create tailored forecasting models, allowing flexibility to meet unique business needs across various industries.
- Data visualization: Excel enables the creation of graphs and charts to visualize inventory trends, aiding in decision-making.
- Conditional formatting: Highlights important data points, such as low stock levels, making it easier to identify areas for action.
The Limitations: When Excel Holds You Back
- It doesn't scale well: As your product range expands, Excel struggles with large datasets, leading to slower performance and potential inaccuracies.
- Collaboration challenges: Multiple users working on the same file can cause versioning issues and data conflicts.
- Time-consuming: Entering data manually and analyzing it in Excel takes significant time and increases the chances of human error, affecting data accuracy.
» Learn how to automate your inventory management in Shopify
3 Key Forecasting Models in Excel
Excel is a popular tool for demand forecasting because it's cost-effective and can use conditional formatting. Although it can be error-prone and a bit time-consuming, inventory forecasting models in Excel can still be an effective tool that helps you improve your inventory turnover if you know how to use it properly.
1. Moving Average
The moving average is one of the common inventory forecasting methods that helps you predict future demand by looking at the average value of past buyer trends and patterns over a given period.
This method "moves" because it considers new data. For example, if you choose to calculate your average over three months, this method will use the data from January, February, and March. But next month, the data from February, March, and April will be used instead.
Analyzing an average gives you a baseline and helps combat fluctuations that might give you an incorrect reflection of your inventory demands. You can use this formula to calculate your moving averages:
Moving average = Select the revenue earned from the current month + X number of prior months + apply this formula: =AVERAGE(Data Range)
» Here are essential tips for effective inventory management
2. Linear Regression
The linear regression technique predicts demand by comparing two different variables—for example, the number of umbrellas sold vs. rainfall amounts. In this example, if you're forecasting umbrella sales, you'd use the rainfall amount as your independent variable and compare it to the number of umbrellas sold over a certain period to predict future demand more accurately.
- Create three columns and choose one to contain each of the 12 months.
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- Fill the other two columns with data related to the variables you wish to examine (e.g., rainfall in millimeters and the number of umbrellas sold).
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- Select the two columns with data and insert a scatter chart into your spreadsheet.
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- Add a linear trendline to the data points.
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- Your finished graph should resemble this.
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» Inventory forecasting is just the first step. Here are some other tips to improve your Shopify store
3. Exponential Smoothing
Exponential smoothing predicts demand by smoothing out historical data, such as seasonality patterns and confidence intervals.
- Go to the Data menu in Excel.
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- Select Forecast Sheet.
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- Pick a suitable chart (e.g., column or line chart).
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- Select your end forecast date.
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» For more accurate forecasts, consider your pipeline inventory as well
3 Tips to Optimize Basic Excel Inventory Forecasting
1. Customize Visual Data
Excel offers several customization options that you can use to optimize your inventory forecasting and avoid having to get rid of obsolete inventory. For example, you can tailor the visual timeline for specific ranges with color coding and other visual cues that make it easier to understand the data at a glance.
2. Choose a Suitable Forecast Function
While creating inventory forecasts in Excel, you'll be able to use different forecast functions to guide your forecast predictions, such as:
- FORECAST: Predicts a future value with linear regression.
- FORECAST.LINEAR: Has the same purpose as FORECAST, just for newer versions of Excel.
- FORECAST.ETS: Used for exponential smoothing.
- FORECAST.ETS.SEASONALITY: Calculates the length of a recurring pattern in a timeline to detect seasonality.
- FORECAST.ETS. CONFINT: Calculates the confidence interval for a forecasted value.
- FORECAST.ETS.STAT: Determines a specific value based on exponential smoothing forecasting.
3. Rely on Third-Party Apps and Templates
Finally, you can also leverage Excel's existing functionalities with third-party software and pre-made forecasting templates. You can simplify the whole process by using tools like Asana, Salesforce, and Monday.com or downloading free inventory forecasting Excel templates like this one from HubSpot.
» Discover how bulk management could further refine your strategies
Why You Should Upgrade From Excel to Achieve Enhanced Inventory Management
After setting up a basic forecast in Excel, transitioning to specialized Shopify apps like Bestsellers reSort and Order to Discount can transform how you manage your inventory. Instead of spending hours in a demand forecasting spreadsheet, you can:
- Make smarter, faster decisions with automated data analysis: These apps process complex datasets effortlessly, helping you refine your inventory forecasting models in Excel or move beyond them with greater accuracy.
- Save time by automating repetitive tasks: From sorting products based on sales trends to syncing updates in real time, automation eliminates manual work that slows you down.
- Unlock better sales opportunities by showcasing the right products: Highlight best-sellers, promote slow movers, and keep stock levels balanced to reduce carrying costs and missed sales.
By replacing manual spreadsheets with intelligent tools, you not only cut down on errors but also create a more scalable and efficient inventory management process.
» Looking for a way to reduce inventory waste and optimize stock levels? Check out our best apps and strategies for managing your Shopify inventory
Simplify Your Excel Inventory Forecasting
Using Excel for inventory forecasting can help you make informed decisions for better stock level optimization and avoid common pitfalls like overstocking or running out of key products.
However, as your store grows, manual spreadsheets often become a bottleneck—slowing you down with repetitive data entry, increasing the risk of errors, and struggling to handle larger datasets. Apps like Egnition’s Bestsellers reSort help you automatically showcase your best-selling products, while Multi-Store Sync Power keeps inventory levels aligned across multiple stores.
» Don't let manual spreadsheets hold you back. Upgrade to smart, automated inventory solutions and watch your business grow
FAQs
What is inventory forecasting, and why does it matter for Shopify stores?
Inventory forecasting is the process of predicting future product demand using past sales data and current trends. It helps you reduce waste, avoid stockouts, and maintain healthier stock levels.
What is the best formula for inventory forecasting in Excel?
There isn’t a single best formula—common ones include MOVING AVERAGE for trend analysis, LINEAR REGRESSION for variable comparisons, and FORECAST.ETS for handling seasonality. The right choice depends on your sales patterns and inventory complexity.
How do I use Excel to track my stock?
You can track stock by creating a spreadsheet with product names, SKUs, quantities, and reorder levels. Adding formulas, conditional formatting, and charts makes it easier to monitor low stock levels and forecast demand.
Is Excel good for inventory forecasting for large businesses?
Excel works well for small to medium-sized businesses but can struggle with large datasets, multiple users, and complex forecasting needs. Larger businesses often switch to dedicated inventory management tools for better scalability and automation.
