Our products Offer
Our solution generates and provides relevant product suggestions that increase conversion rates and customer satisfaction, improve cost-per-acquisition, boost up-sell and cross-sell rates, as well as increase your customer lifetime value.
Predictive Personalization
Adaptive recommendations
Dynamic changes of the product’s offer – some products could be not available for sale or get low priority in the current sales target.
An introduction of new products (we face a ‘cold start problem’ – we don’t have data for new products to assess their popularity).
Changes in the website content, for example, when providing content for a blog or personalized content. One way of generating leads and boosting sales is to publish catchy articles to attract customers. As the content of articles differs, we will attract a different group of clients – we need to adapt our recommendations to the content.
Seasonality – We could have products sold only within a particular season, products that have better conversion in certain seasons, and seasonally invariant products. The dynamic recommendation could be used to smooth adapt to seasonal changes within the first two categories mentioned above.
Changes in product popularity, including the emergence of market hits – similarly to changes in product’s offer, we need to adapt to a new market setting.
Changes in customer preferences and behaviour.
Automatic Products Tagging
Quality: AI-based automation eliminates human error and provides high-quality tagging.
Consistency: You don’t have to worry about your team tagging products differently. The same algorithm tags the catalogue through subsequent periods, ensuring no team fluctuation and full consistency.
Speed: Moving from weeks to hours or even minutes. Once algorithms are trained, they can be applied instantly whenever you need to update your catalogue.
Cost: Compared to manual tagging, AI-based automation will handle catalogue enrichment at a fraction of the cost.
Flexibility: At any time, at almost zero cost, you could adjust the way you tag your products, choose different criteria, extend characteristics, and rerun the algorithm.
Personalization: Automatic tagging, thanks to its speed, low cost, flexibility, and ability to integrate on the software level, means it fully supports personalization and recommendation.
Use cases:
Adjust your products recommendation to the varying content of your blogs and articles with the powerful AI algorithms.
