The most important thing in making a product recommendation engine effective is the data. Data can be collected as users interact with your website, as well as through importing historical information. This could be weeks, months or even years of purchase data – the sky’s the limit! The more data the algorithm has access to filter and inform its decisions, the more accurate the product recommendation will be for your visitors.
If that all feels too much like you’re relinquishing full control to the AI bots, then don’t worry, filtering can also take into account any business-driven rules you choose to apply – such as recommending a product by a specific brand, or only recommending a product between X and Y selling price – to ensure the automated data filtering compliments your overall business strategy.