Let's say you have 10 types of hammers in your inventory, and you want to see how many types of hammers a competitor is selling. You start off by entering the MPNs of the 10 types of hammers, but you are only able to get 4 or 5 of them in the results, because the competitor may have altered the MPNs in some way.
You may also not have much luck with product names as they can have regional or industry-specific conventions.
But most pertinently, do you even want to expend all this time and effort in searching product equivalents manually?
Despite differences in naming conventions or the way product codes (MPN/UPC/non-standard) are represented, our sophisticated models can retrieve functionally equivalent products. We look for attributes such as size, material, functionality and usage, among others, and check if they align well enough - because consider this: An air conditioner that requires 500 watts of power and another that requires 5000 watts would not be true equivalents.
Using fuzzy matching and human intelligence, we can handle varying levels of complexity within product data to give you consistent results at scale.
We put data first! Using our approach you can use data-driven insights to:
