Leverage suggestive selling to recommend products that compliment a customer’s current cart

Experience Type

Recommendations

Implementation Effort

Low

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Who:

Leading global QSR

Strategy:

This QSR used a recommendation strategy to suggest additional, relevant products as the customer added items to the cart. For example, if the first item added to the basket was a Double Bacon Cheeseburger, the AI displayed complementary products such as a drink or fries. Once the basket was complete, the AI continued making recommendations at the checkout stage to capture any last-minute needs (such as a milkshake or dessert as an add-on to the meal).

Leverage suggestive selling to recommend products that compliment a customer’s current cart Leverage suggestive selling to recommend products that compliment a customer’s current cart
Hypothesis:

People placing a fast-food order are likely in a hurry and don’t have time to explore all the products offered. By displaying recommendations during the ordering process, restaurants can increase product awareness in a short amount of time and remind customers of products they might be forgetting (such as dessert). This recommendation strategy gives customers a propensity to make larger purchases over time and drives revenue.