E-commerce Recommender

Knowing what your customers want in real time. With intelligent recommendation systems, you can also market your "long tail" instead of just promoting the bestsellers. With the e-commerce recommender, Spiceworld customers automatically receive product recommendations that are tailored to their shopping behavior. That way, cross-selling and an improved shopping experience are elegantly combined.

Increase the Average Shopping Cart Value

Spiceworld was looking for a way to present visitors of their online shop the full range of Stay Spiced! products. However, the product range is so extensive that few customers find the time to browse through the entire variety of products. This is an opportunity to place individually tailored recommendations at the right contact points.

A classic contact point is the shopping cart overview, where we can calculate association patterns based on historical purchases by your customers, which are compared in real time with the individual shopping cart. Based on this, suitable recommendations are calculated. This algorithm can also be flexibly expanded, e.g. with a blocked list or current promotions. In this way, more sales can be generated for the seller and at the same time the shopping experience for the customer can be improved

Automatically suggest suitable products to your customer during checkout

Easy Integration of the Recommender into Your Existing E-commerce System

Our recommender service synchronizes the relevant data from your shop system in the background and manages the entire algorithm, including operation and further development. You only need to integrate an API (interface) into your online shop to receive automated real-time recommendations for different touchpoints. Everything works without high initial costs as a subscription model with the aim of jointly increasing customer benefits and thus your company's conversion.

In Which Ways Could cognify Support This Project?

Consulting

Advice on which recommendation approaches and associated data best fit their business model to increase online sales.
Data Analysis

The evaluation of purchasing behavior can provide additional added value for the further development of your shop and strategic decisions.
Recommender-Algorithm

Adaptation of our recommendation algorithm to the needs of your customers in order to suggest the most suitable products.
All-in-one Solution

We take care of the synchronization and processing of the data as well as hosting, operation and further development of the service.

How Our Customers Benefit

By using our recommender, Spiceworld could significantly increase its sales in their online shop. Furthermore, by recommending suitable products which are tailored to the preferences of the individual customers, the user experience was significantly improved.

About Stay Spiced!

With around 36,000 customers in 25 countries, 160 spices and 365 spice mixtures, Stay Spiced! offers a different taste experience for every day of the year. Founded in 2005, SPICEWORLD is now known far beyond the borders of Austria among amateur and professional chefs.

(Source: https://stayspiced.com/history)