How Product Matching Works: Approaches and the Need for Accuracy
Automated: This method is purely software-reliant. It involves using algorithms and digital solutions, often powered by AI and machine learning, to match products automatically. It is effective for large-scale operations but may struggle with non-standardised goods.
Manual: The opposite of the automatic method, this is a human-driven process, in which teams manually review product listings to match those that are similar. It is not as fast or cost-effective as the automatic way, but humans can sometimes spot matches that machines cannot.
Hybrid: This method combines the benefits of both methods. It is often the most recommended option, particularly when dealing with large or complicated datasets.
Whichever method you select, accuracy should always be a top priority. Low accuracy levels can lead to false matches, which, in turn, cause some of the aforementioned problems, like low visibility and a lack of information for your sales and pricing strategic decisions.
The best product matching methods should also be flexible and customisable, with adjustable matching criteria to suit specific business needs. Assosia’s pricing and promotion tracking platform boasts high levels of flexibility to suit brands in retail, FMCG, and similar spheres of operation.