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Personalize the Shopping Experience

Offer the right recommendations for each unique customer and boost your sales. 

Robot on a Mission

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…

Static Experience

powered Experience

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.