Product & Content


Provide Smart Suggestions Based On What Shoppers Like and how they behave At Every Step. Built Your own recommendations enignes based on customer data updated in real time.

 Product & Content Recommendations

Trusted by the world’s most disruptive big and small companies & institutions

How to find the right products to se
How to attract the perfect customer?
How to reduce inefficient search results?
How to make offer special?
How to identify customer, shopper or product trends?
How to generate targeted traffic?
How to profitably retain users?
How to attract the perfect customer?
How to attract the perfect customer?
How to increase revenue?
How to better forectas demand?
Where should branches / POS be located?
How to increase volumetric sales?
How to change brand recognition?
How to find the most profitable customers?
How to boost margin value?
How to profitably increase sell-through?
How to increase the inventory turns?
How to ensure better demand forecasts?
How to generate accurate customer insight?
How to set best possible price for shopper?
How to best react to competitors' activities?

Features Overview

Discover Product & Content Recommendations main list

Similar recommendations

Product oriented type of recommendations extending your customers’ product awareness and enhancing willingness to buy certain product alternatives.

  • Best suited for product pages
  • Increasing offer coverage
  • Self-learning

Visual recommendation

Discovery of similarities across your product sets gives your company a unique chance to make them more appealing for appereance - aware customers. Best suited for fashion industry.

  • Discovery of visual similarities between your products
  • Self learning from any new products or interactions
  • No need of manual reviews or decisions
  • Product context recommendations

Cart recommendations

Having context of your customers’ cart ingredients is undoubtedly meaningful for preparing cross-sell offers, but its full potential unveils only combined with collected and AI analyzed behavioral patterns.

  • Best suited for clients’ cart
  • Self improving
  • Analyzing behavioral patterns
  • Cross-sell enhancements

Cross-sell recommendations

  • Up-sell rate improvements
  • Increasing average order value
  • Enhancing product coverage

Heuristic recommendations

Some cases require to use specific solutions, for instance whenever we want to promote best selling products or to present recently viewed ones.

  • Two types (Top product, Recently viewed products)
  • Promoting bestsellers
  • Increasing client’s engagement

Personalized recommendations

Types of recommendations giving you the unique personalizing experience, taking into account all information that comes from omnichannel interactions.

  • Unique personalization experience
  • Multiple device placement possibilities
  • Self-improving

Personalized listing

Personalization of order in which product / content is diplayed on website. Best suitable for:

  • category pages
  • brand pages
  • landings

Advanced performance measurement

Analytics engine which enables measurement of KPIs:

  • CTRs
  • conversion rate
  • revenue generated
  • products bought
  • viewability ratio

Other features

List of additional features

Advanced filtering

Tailor algorithms output to allign with company goals

A/B/X testing

Test different recommendation strategies to maximize performance and customer engagement

Cold start readiness

Robust cold start mechanism which enables seamless experience also for unidentified client, users with limited / no interactions and new product arrivals

Elastic product feed

Adjustable product feed which enabled advanced filtering and boosting strategies to apply even more sophisticated use cases

Multi-channel execution

Reach your customer with personalised content using multiple channels (website, email, mobile app, push messages)