AI RECOMMENDER ENGINE
Boost sales and customer satisfaction with intelligent recommendations on product, pricing, and personalized shopping experiences
30%
INCREASE IN FIRST PAGE VIEW TIME FROM 65 TO 90 SECONDS
20%
INCREASE IN SEARCH PAGE VIEW TIME FROM 60 TO 65 SECONDS
10%
INCREASE IN AVERAGE USER ACTIVITY FROM ~5 TO ~9 CLICKS
10%
INCREASE IN REVENUE GROWTH
10%
INCREASE IN CONVERSION RATE FROM 11 TO 25%
10%
REDUCTION IN CART ABONDONMENT
Business Challenge
Lack of personalization in your recommendation engine can lead to reduced customer engagement, lower conversion rates, decreased customer satisfaction, higher churn rates, and missed revenue opportunities. Tailored and relevant product, price recommendations to cater to individual customer preferences is the need of the hour. Our AI-enabled recommender engine can provide insights into customer micro behavior and preferences, enabling retailers make fast data-driven decisions enhancing overall shopping experience.
Our Key AI Recommender Solutions
- E-commerce product recommendations
- Automated product tagging
- Content recommendations
- Personalized marketing and advertising
- Collaborative filtering
- Hybrid recommendation systems
Outcome: Key Benefits of our Recommender Engine
| 4.5X | 6X | 4.8X | 37% |
|---|---|---|---|
| Increase in likelihood of purchase completion among customers clicking on recommendations | More unique products viewed per visit by customers who clicked on a recommendation | Increase in time spent on retail sites by customers who clicked on recommendations vs those who didn’t | Increase in the number of customers that placed an order by clicking on a recommendation |
Our AI-enabled Recommendation Engine has significantly impacted retailers' ability to provide personalized customer experiences, resulting in the following quantifiable benefits and long term ROI:
- 4.5X increase in purchase completion among customers clicking on the recommendations provided, with significant improvements shown in time spent on site and unique products viewed
- Increase in average order value due to more relevant and appealing product recommendations
- Increase in customer retention rates by delivering tailored content and offers
- Reduction in cart abandonment
- Direct revenue impact due to increased effectiveness of cross-selling and upselling strategies based on recommendations provided
- Real-time adaptability: Our recommendation engines are trained to continuously learn from customer interactions, and dynamically adjust recommendations
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If you would like to know more or discuss our use cases in detail