In today’s competitive e-commerce landscape, personalization is no longer optional—it’s expected. NetSuite’s Intelligent Recommendations feature for SuiteCommerce empowers businesses to deliver tailored product suggestions based on customer behavior and transaction history. This article walks you through how to activate and use this powerful tool to boost conversions and enhance customer experience.
What Are Intelligent Recommendations?
Intelligent Recommendations use machine learning to analyze customer data and suggest products they’re likely to buy. These suggestions appear dynamically across your SuiteCommerce website, including:
- Product Detail Pages (PDP)
- Shopping Cart
- Homepage or custom landing pages
Types of recommendations include:
TypeDescriptionCustomers Who Bought This Also BoughtBased on other buyers’ habitsAlternative ItemsSimilar products if the selected item is unavailableOrder or Cart ItemsItems frequently bought togetherRecently Viewed ItemsBased on browsing historyBuy AgainItems the customer regularly purchasesYou Might LikePersonalized suggestions based on purchase history
How to Activate It in SuiteCommerce
1. Install the Extension
- Go to Customization > SuiteBundler > Search & Install Bundles
- Search for: “SC Intelligent Item Recommendations”
- Install the bundle
2. Configure the Extension
- Navigate to Commerce > Websites > Configuration
- Select your website and domain, then click Configure
- Open the Extensions tab and find Intelligent Recommendations
- Set the minimum and maximum number of items to display
3. Check Recommendation Availability
- Go to Commerce > Marketing > Intelligent Recommendations > Recommendation Availability
- Review which recommendation types are active for each subsidiary or site
- If you see “not sufficient to calculate,” it means more inventory or transaction data is needed
How Sales Reps and Merchandisers Can Use It
- Sales reps can use recommendations in sales orders, estimates, and opportunities to upsell or cross-sell
- Merchandisers can curate product pages to highlight recommended items
- Marketing teams can design campaigns around frequently bought-together products
Why It Matters
- Boosts average order value
- Improves customer satisfaction
- Encourages repeat purchases
- Enhances product discovery
Final Tips
- Ensure your items have clear names, descriptions, and categories
- Encourage repeat purchases to improve “Buy Again” suggestions
- Use consistent data entry to help the algorithm learn faster