Online recommendation technology in retail has progressively improved over the past 20 years. Initially, global popularity algorithms were used to generate recommendations, but only to moderate success. Then came collaborative…
Product recommendation engines powered by deep learning provide highly relevant recommendations to each customer using real-time user data to make accurate recommendations. But eCommerce teams can’t always let the artificial…
Personalization Strategy for Peak Periods With Black Friday on the horizon, retailers are testing and implementing onsite personalization strategies in order to boost their revenue over the holiday shopping season.…
Consumer expectations have evolved. According to Accenture’s personalization pulse check, 91% of respondents were more likely to shop with brands that recognize, remember and provide them with relevant offers and…
One of the biggest challenges we see in online betting is the challenge of loyalty within an often fickle user base. Customers can readily switch between each brand of sportsbook and there…
Peak is More Important Than We Thought We’re all aware of how consumer habits are evolving, and how this change is translating into increased expectation and demand for discounts and…
Even though ecommerce is now part of regular buying habits, engaging consumers online is still a difficult task. Bounce rate and abandonment of the basket remain very high among traders.…
The eCommerce industry today is swamped with endless references to AI and ML. Advancements in technology have accelerated the importance of customer data and personalization in a merchandising strategy. The…
The Ecommerce Machine Learning Algorithm – Up Close and Personal Throughout the years, the range of tools that allow you to leverage machine learning (ML) for ecommerce has grown exponentially.…
With growing scrutiny over data privacy, many companies have prepared themselves for the new era of data protection regulations. In this blog, we look at some of the practical challenges…
