How to Predict Demand for Product Bundles?

When it comes to sales and marketing, offering product bundles can be a great way to increase revenue and attract customers. A bundle refers to a group of related products or services that are sold together as a package deal, often at a discounted price. Businesses can gain competitive advantage in the market by offering product bundles. Customers love personalized product bundles, one that is put together with the right kind of goods. Now, to meet the demand for these goods, it is essential that the availability of every product in the bundle is ensured. 


This is where advanced technologies such as AI and ML integrated into replenishment planning software can be used to accurately predict demand for each individual product in the bundle.  


What is Product Bundling?

Product bundling is the process of combining various products and selling them in hampers and combos. These bundles are sold at a reasonable and affordable price to attract buyers. This strategy is being implemented by businesses as it is a great way to enhance the order values and maximize customer experience simultaneously. 


Businesses can reap the benefits of product bundling by the following ways:


  • Enhance Average Order Value

A product bundle offers customers products at a reduced price and helps to enhance the average order by enticing buyers to purchase combos and bundles instead of individual products.


  • Sell Excess Inventory

Businesses can liquidate slow-moving stock and sell excess inventory. A clever means to do this is by bundling high-selling goods with slow-moving products. It also lets customers look at the slow-moving goods from a different perspective. 


  • Utilize Seasonal Sales

Products that have seasonal demand can be bundled together to make shopping convenient for customers. The most appropriate time for bundling seasonal products is holidays and clearance sales. Customers sense an urgency to buy these products in such cases. 


  • Reduce Shipping Costs 

The distribution and marketing of products gets easier as separate products are packaged into single ones. Products sent in bulk can reduce packaging and shipping costs while increasing sales revenue. 


Steps Involved in Forecasting Demand for Product Bundles

While forecasting demand for product bundles, you should consider the demand for individual products as well as the bundles. AI and ML algorithms have the capacity of demand forecasting and replenishment planning for every product bundle accurately. AI-powered demand forecasting and replenishment planning tools can assist to plan the supply for product bundles. 


  1. Parent SKU and Individual SKU Mapping

With the data integrated into the inventory replenishment software a relationship can be established between the individual SKU and the parent SKU. Parent SKU is the final product bundle that is sold to the customer while the individual SKUs are the products that are present in the hamper. Every individual SKU is mapped to the corresponding parent SKU to create product bundles. An individual SKU can be mapped to more than one parent SKU.  


  1. Demand Forecasting

The demand is forecasted for both the individual and parent SKUs as the individual products can be sold separately as well. The replenishment planning tool forecasts demand by considering the different demand drivers at the product bundle and individual level. 


  1. Automated Replenishment Planning

Replenishment planning tool makes purchase plans while considering the demand for every single SKU and advises a purchase order quantity that is all inclusive of all the demand prediction numbers. 


Factors to Consider While Forecasting Demand


  • Identify Your Customers

Start by identifying your target audience and understanding their needs and preferences. You can do this by collecting data through surveys, market research, and social media analytics. Understanding your customers' demographics, buying behavior, and lifestyle can help you identify which products they are likely to purchase together.


  • Determine Which Products to Bundle

Choose products that are frequently purchased together, complementary or have a natural fit, or products that appeal to a specific customer segment. For example, a computer store may bundle a computer with a printer and software, or a clothing store may bundle a top with a matching skirt.


  • Analyze Historical Sales Data

Analyzing past sales data is an essential step in predicting demand for product bundles. Analyze which products are frequently purchased together and at what times. This can help you determine which bundles are likely to be popular. Look for trends and patterns in your sales data to understand which products are in high demand and which ones are not.


  • Use Predictive Analytics

Predictive analytics can help you forecast future demand for product bundles. You can use data mining, machine learning algorithms, and predictive modeling techniques to analyze historical sales data, customer behavior, and market trends. Predictive analytics can help you identify which products are likely to be purchased together, which customer segments are likely to purchase your bundles, and which price points are most appealing.


  • Conduct A/B Testing

A/B testing is a powerful tool for predicting demand for product bundles. Test different bundle combinations and pricing strategies to identify which bundles are most appealing to your target audience. Use the data from A/B testing to optimize your product bundles. For example, you can test different product combinations, different discount levels, or different packaging designs to see which options are most popular.


  • Monitor and Adjust

Continuously monitor your sales data and adjust your bundle strategies as necessary. Keep an eye on customer feedback and make bundles based on what is working and what isn't. Look for ways to improve your bundle offerings and make them more attractive to your target audience. Be prepared to change your bundle strategies based on changing market trends and customer preferences.


Product bundles can give customers more value and encourage them to purchase more from your business. So, take the time to understand your customers and create product bundles that meet their needs and preferences.


About the Company

Businesses can ensure the availability of product bundles and individual products with Kronoscope, an AI-powered robust inventory replenishment system by Fountain9, that can hit service targets for their product bundles even during seasonal peaks. Forecast demand accurately and meet the demand for product bundles effectively. 


Additionaly by combining historical sales data with additional factors like seasonality, customer trends, and others, Kronoscope, enables organizations to make precise estimates.Businesses can meet customer expectations and generate more significant money with the help of this software.

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