Enabling Retail organizations to increase the average transaction
value, increase customer engagement, increase basket size, and
reduce customer churn through advanced AI/ML algorithms.
Personalized Recommendation refers to the practice of providing each customer with a unique experience across all touchpoints and channels, based on historical data and present shopper intent, supported by customer and product intelligence. Every customer’s journey to purchase is unique, and personalization in retail tries to cater to each person according to their wants and behaviors.
Personalized recommendations increase a customer’s overall cart value, which increases revenue. They provide pertinent up-sell and cross-sell options that excite a customer’s attention and encourage them to buy additional items in addition to the one they originally came in for. Additionally, a customized shopping experience means you will spend less on marketing to convince them to buy.
JK Tech leverages Augmented Analytics for Personalization as it accelerates consumer segmentation, clustering similar buying patterns, and targeted products, offers, messaging, and personalized recommendation.
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