The market-leading online supermarket, nemlig.com, has won numerous awards in 2018, among them are 2 awards at FDIH’s E-Commerce Awards 2018. “Best B2C E-Commerce business with a revenue above 50 million DKK” and the prestigious “The Gold-Award.”.
This award signifies that leading experts in the field have found nemlig.com to be the best E-Commerce experience in Denmark.
The extensive solution on nemlig.com
Raptor is implemented by IMPACT Commerce and is now a deeply integrated solution on nemlig.com.
At present, 80% of pageviews include intelligent recommendations based on clickstream data. Raptor is represented throughout the entire customer journey, from the search function to product ranking on category pages, to basket, and content recommendations in the form of recipes.
The result is a truly personalized experience for online grocery shoppers, which in turn enhances opportunities for up-selling, cross-selling, and increased basket size.
The challenge is often to ensure that customers always see the most relevant recommendations. If a customer who usually shops for discount products is browsing recipes, we recommend discount products that go into that recipe, and the same goes for customers who typically pick the organic choice.
“Our mission is to create the most personal shopping experience. We chose Raptor because it can offer individualized, highly relevant experiences, which are automated and accurate. These highly relevant experiences create customer loyalty and higher customer lifetime value.” says Jeppe Grue, Head of Sales at nemlig.com.”
“At nemlig.com we are going to expand the partnership further in the future, as we believe personalization is key to customer loyalty and growth, and Raptor is going to help us deliver on that.”
A great example from the online grocery store is how the Raptor Smart Advisor recognizes patterns in user behavior. When consumers buy hypoallergenic laundry detergent, the algorithm automatically identifies various preferences through the purchase.
In the example above, our algorithm recommends products that other consumers have bought with that exact laundry detergent. In this case, the related products are other laundry products and cleaning supplies, all hypoallergenic.
Based on patterns in user behavior, we can see that consumers, who buy hypoallergenic detergent, also have preferences for other cleaning products to be allergy-friendly.
Logically as it may sound, this automated process saves nemlig.com several hours of manual tagging.
A second example is how the algorithm detects patterns that can seem surprising to most people. For example, you might not realize the connection between “Boil-In-Bag” rice, pre-cooked meals, and oatmeal, but the data shows a clear relation in the purchase history.
When considered, all those products show an affinity for quick and easy meal preparation. However, if you click on Risotto rice, you will see ingredients that reflect a preference for meticulous cooking.
The recommendations will always reflect the behavior of the consumers, which provides the most relevant recommendations while simultaneously freeing up time at nemlig.com.
- To ensure a personalized customer experience, Raptor is implemented to present personalized product recommendations
- The use of recipes on nemlig.com has increased by 159% since Raptor was implemented
- 80% of all nemlig.com’s pages include intelligent recommendations from Raptor
Do you want to know more about this case?
A Raptor expert can share more about the product and answer any questions you have