Common AI and other Filtering solutions yield good results. However, in eCommerce good isn't good enough. A recommendation that falls short of the right one can further erode already struggling conversion rates (the percentage of visitors who take actions like clicking "Buy Now"), increase product returns, and leave customers dissatisfied. Worse yet, deploying common AI systems often means stepping into the competitive and ethically murky world of private data collection. That data is frequently gathered by tracking your own prospects’ behavior, raising both privacy concerns and regulatory risks. But even if you're willing to play that game, you have to ask: Is data volume really your competitive edge? Can you keep up with those who are winning the race?

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Only 7% of visitors use a recommendation engine. Yet, they generate a quarter of the online revenue. Sparkdit impacts 25% of your online sales.