eCommerce Logistics
February 10, 2025

The ABCs of Demand Forecasting: The Key to Successful Business Planning

It’s time to seriously consider improving your demand forecasting techniques. In this article, we’ll discuss the types of demand forecasting and the top four strategies for getting the most out of 2023.
Brett Haskins

Imagine having a crystal ball that reveals what products will fly off the shelves, when to ramp up your stock, and just how much inventory will hit the sweet spot for your sales to keep your customers happy. That's the power of demand forecasting for any eCommerce business! 

However, it involves more than simply making educated guesses. This data-driven approach strategically prepares for future demands, so you never miss a beat in meeting customer needs or maximizing efficiency.

In this article, we’ll explore the different types of demand forecasting and dive into the best strategies to ensure your predictions set you up for success.

What is Demand Forecasting?

Demand forecasting is the process of predicting future customer demand for a product or service over a specific period. Here, you analyze historical data, market trends, and external factors to estimate how much a product will be needed to meet your customers’ demands. 

Businesses often use demand forecasting to:

  • Anticipate sales
  • Plan inventory levels
  • Make informed decisions related to production, marketing, and finances

Additionally, demand forecasting helps you anticipate what your customers will want and when. This lets you have the right products in stock at the right time without overloading your inventory or missing out on sales. Plus, it gives you the insights you need to make smarter decisions for growth. 

Basically, demand forecasting helps you run your business more smoothly and profitably!

Why is Demand Forecasting Important in eCommerce?

Think of demand forecasting as the GPS for your business—guiding everything from inventory management to customer satisfaction. Here’s how it impacts your operations:

  • It optimizes inventory management: Demand forecasting helps you strike the perfect balance, ensuring you have just enough stock to meet customer demand without overstocking.
  • It supports product planning: Demand forecasting helps set up product launches and marketing strategies. It also provides insights into which products will perform well.
  • It improves financial planning: You can manage your cash flow, ensuring it is used efficiently and allowing for smoother operations.
  • It reduces costs: Accurate forecasts can help you avoid the costs associated with overstock, optimize your supply chain, and cut unnecessary shipping costs.
  • It boosts customer satisfaction: Demand forecasting ensures that popular products are always available, which helps prevent stockouts, delays, and disappointed customers.

Factors Influencing Demand Forecasting

When you're forecasting demand, several factors can impact your predictions. Understanding these will help you make more accurate forecasts and stay ahead of the curve. Let’s walk through the key factors:

  • Economic conditions: In a strong economy, people tend to spend more, but during a recession, they might cut back on purchases.
  • Consumer behavior: Trends in consumer behavior can quickly change demand. Shifting preferences, the success of your marketing campaigns, or even viral social media posts can drive unexpected spikes in demand for your products.
  • Seasonality and weather: We all know certain products sell better during specific times of the year—think holiday shopping or peak tourism seasons. Even the weather can impact demand!
  • Competition: Actions by competitors, such as product launches, pricing changes, or promotions, can impact demand. 
  • Historical data: Your past sales are often the best indicator of future demand. Looking at previous trends, especially any seasonal spikes or dips, helps you anticipate what’s coming and prepare accordingly.

Types of Demand Forecasting

Forecasting types vary depending on the time horizon, data sources, and methodology used. Here are some you can consider:

Short-term demand forecasting

This approach focuses on predicting demand for a few days, weeks, or months, usually up to one year. It is primarily used for immediate operational decisions, like managing daily inventory, staffing, or adjusting production schedules. 

Long-term demand forecasting

While short-term forecasting considers demand for a short period, long-term demand forecasting looks into demand over several years, typically over two years. This is mainly used for strategic decisions like market expansion or product development. 

Passive demand forecasting

Unlike short and long-term demand forecasting, passive demand forecasting is a straightforward approach. This method assumes future demand will be similar to historical demand without accounting for changes in market conditions. 

Active demand forecasting

This method adjusts predictions based on market conditions, economic changes, competition, and strategic initiatives like product launches and marketing campaigns.

External market forecasting

From its name, external market forecasting helps businesses anticipate demand fluctuations caused by factors outside their direct control. These factors may include economic trends, market conditions, competitor actions, and technological advancements. 

Internal business forecasting

Contrary to external market forecasting, internal business forecasting focuses on factors within the business’ control, like pricing strategies and marketing initiatives. It is ideal for aligning internal operations and strategies to meet expected demand. 

5 Effective Demand Forecasting Strategies

Several demand forecasting strategies can help predict future demand, each tailored to different types of products, industries, and levels of data availability. Let’s go over some of the key strategies:

Trend projection

Trend projection involves analyzing historical sales data to identify patterns or trends that can likely continue. In addition to identifying seasonal trends, analyzing the past year’s sales data can help determine the success of marketing campaigns.  

By plotting sales data over time, you can identify upward or downward trends or seasonal trends, which are then extended into the future to forecast demand. 

Best for: Established products with reliable historical sales data and stable market conditions. 

Market research

Market research is a great way to understand future customer preferences. It enables you to understand them through simple methods, such as:

  • Surveys
  • Interviews
  • Focus groups
  • Observational research

And more!

Although time-consuming, market research data provides great insight into your target audience and products they may be interested in. 

Best for: Younger companies or those entering new markets, where there is little to no historical data and direct consumer input is valuable.

Sales force composite

Who knows your customers better than anyone else? Your sales team! They understand what motivates customers to purchase, their pain points, and what competitors are offering.  

Delving into the sales department's knowledge base is an excellent source of information. When used with previous sales data, it can lead to highly accurate demand forecasts!

Best for: Established businesses with a large and knowledgeable sales team that has close relationships with customers.

Delphi technique

The Delphi technique is a structured method of gathering opinions from a panel of experts to forecast future demand. Experts provide their estimates anonymously, and after several rounds of feedback, a consensus is reached.

This type of demand forecasting is effective because it utilizes outside insight, which removes internal bias and provides clear, actionable steps. 

Best for: Complex forecasting scenarios where there is uncertainty or where the product is new, and expert opinion is required due to a lack of data.

Econometric

Econometric forecasting uses mathematical models to predict demand based on various economic factors, such as:

  • Pricing
  • Income levels
  • Inflation
  • Employment rates

In a nutshell, it attempts to understand the relationship between these factors and consumer demand.

With econometric forecasting, businesses develop equations or models that represent the relationships between demand and different variables. Those may include pricing, marketing spending, and external economic conditions.

Best for: Established businesses or industries where demand is strongly influenced by external economic factors, such as financial services or consumer goods.

Demand Forecasting Best Practices

Mastering demand forecasting can be a game changer for your business, as it drives efficiency and boosts customer satisfaction. Here are essential strategies to ensure your forecasts are accurate and truly beneficial:

Mix up your forecasting methods

Don’t stick to just one method! Try combining techniques—using historical data alongside expert opinions or market research—to get a more reliable picture of what’s coming. It’s like covering all your bases to ensure no surprises catch you off guard.

Segment your products

Not all products are created equal. Some drive most of your revenue, while others don’t. By grouping your products (think of it like ABC analysis), you can focus your energy on forecasting the high-priority items in more detail while using simpler methods for the rest.

Regularly review and adjust

Forecasts should not be static. Review and adjust them regularly based on recent data, market changes, or unexpected events. Being flexible helps you adapt quickly if demand changes unexpectedly.

Investing in forecasting tools and software

Data is your best friend here. Using demand forecasting software or advanced data analytics tools can save you time and increase accuracy. Machine learning, for example, can spot trends you might miss and help make more informed predictions.

Conduct surveys and focus groups

Surveys let you reach a larger audience quickly to learn about preferences, price points, or buying habits. This gives you a rough idea of what people might buy from you. On the other hand, focus groups give you more in-depth, qualitative feedback to understand their thoughts and feelings about your product.

Offer pre-orders to gauge interest

For new businesses, pre-orders can help gauge actual demand without overproducing inventory. It can also build excitement and create a sense of urgency around your product. Plus, pre-orders can generate some early revenue, which is good when you’re still starting!

Make Smarter Business Decisions with iDrive Logistics

In the ever-changing world of eCommerce, demand forecasting isn’t just a helpful tool—it’s essential for keeping your business running smoothly. When you predict what your customers want and when they’ll want it, you can avoid stockouts, cut down on excess inventory, and make smarter decisions for your business. 

If you're ready to take your demand forecasting to the next level or need help tailoring it to your business, iDrive Logistics is here to help you! Contact us for a consultation, and we’ll help you get your sales strategy on the right track.

Related articles
idrive updates
December 6, 2024
Enhancing Customer Loyalty Through Exceptional Shipping Experiences
How Shipping Insurance Can Help SMBs Compete in the Age of E-commerce
Read more
idrive updates
November 27, 2024
Navigating the Peaks and Valleys of Reverse Logistics: Insights for E-Commerce Businesses
Returns are ian opportunity for businesses to optimize operations, build brand loyalty, and embrace sustainability in a meaningful way.
Read more
idrive updates
December 4, 2024
Navigating the Complex Waters of Parcel Sourcing Strategies
Insights from Episode 8 of "Parcel Perspectives"
Read more