Personalize the Shopping Experience
Offer the right recommendations for each unique customer and boost your sales.
Your Problem
Retailers are facing heightened competition, rising ad costs, and tricky attribution. The resulting high cost of acquisition means that every shopper is valuable.
It’s critical that retailers can guide the shopping experience, from a first-time visitor to a satisfied and loyal customer.
A First-Time Visitor
A Loyal Customer
Our Solution
Drive Brand Loyalty Through Machine Learning Powered Experiences
Jarvis ML models collect signals along each customer’s journey. This rich data allows Jarvis to create a personalized map of striking recommendations – the right item, the right time, for the right customer.
You value your customers, and so do we. Delight each customer with a tailored shopping experience.
Let’s Consider An Example…
Generic visitor
Static Experience
John's interests
Carl's interests
Bella's interests
As a result, personalized product recommendations can boost your revenue per customer by 11%.
How It Works
With a simple and fast integration (under 10 minutes), Jarvis ML does all the heavy lifting that transforms your data into personalized recommendations. With our Shopify plugin, it’s even faster – under 5 minutes. No AI experience required.
Web Analytics
- Time Stamp
- Referring Site URL
- Geographic And Network Location
- Browser Type
- Device Type And Operating System
- UTM Parameters
- Other Technical Attributes
Integrate Your Data
With all the millions of bits of web information, Jarvis can process extract, analyze, and transform data. Designed for scalability, Jarvis ML easily allows for the addition of new data sources
Create Models
With the rich data, Jarvis creates effective taste based personalization models that are continually learning and deploying. As a result, the product recommendations get better over time.
Personalized Shopping Experience
With contextual analytics, Jarvis ML transforms the data into real-time insights that personalize the shopping experience for each web visitor.
Time Stamp
Referring Site URL
Web Analytics
Other Technical Attributes
Device Type And Operating System
Geographic And Network Location
Geographic And Network Location
UTM Parameters
Integrate Data
With all the millions of bits of web information, Jarvis can process extract, analyze, and transform data. Designed for scalability, Jarvis ML easily allows for the addition of new data sources
Create Model
With the rich data, Jarvis creates effective taste based personalization models that are continually learning and deploying. As a result, the product recommendations get better over time.
Personalized Shopping Experience
With contextual analytics, Jarvis ML transforms the data into real-time insights that personalize the shopping experience for each web visitor.
Boosting Sales
- Personalized recommendations
- Promotions
- Featured picks
Brand loyalty:
- Lifetime value optimization
- Personalization
Smart Search
- Personalized, guided search
Boosting Sales
- Personalized recommendations
- Promotions
- Featured picks
Smart Search
- Personalized, guided search
Brand loyalty:
- Lifetime value optimization
- Personalization
Beyond Product Recommendations
In addition to product recommendations, Jarvis ML can personalize the shopping experience in a variety of ways, including:
- Customer Service: Provide high-touch support for identified VIP customers.
- Promotions: Offer special deals for potential high-value customers.
- Personalized Search: Tailor search results to a customer by incorporating their search history, interests, or location, boosting your sales conversion rate.
