The retailer leverages Algonomy's DeepRecs NLP to personalize for Specialbuys -new products in the catalogue that don't have historical events.
Aldi has a unique business model, the discount retailer not only sells groceries and household goods, but also runs two 'Specialbuy' events a week, where ‘once it’s gone, it’s gone’.
These frequent catalogue changes meant the traditional approach of historical data based personalization was not an option for the retailer, and newly launched products did not surface in recommendations.
Second, due to the limited quantity, the online shop needed todiligently consider inventory levels, surface substitutes for out-of-stock products, and alert shoppers when a product is back in stock.
The retailer also realized the need to personalize targeting and content in order guide visitors to the most relevant campaigns and categories. What are their affinities - do they like fishing, are they a pet owner, dog or cat.
In this case study, learn why the Managing Director of National IT says "We’re now successfully able to engage shoppers with deeper journeys, leading to 10% higher average order value and 46% lift in revenue per visitor. We’re also witnessing organic repeat visits, which is invaluable.
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