Product kits are formed by identifying products that are frequently sold together. This identification is done by analyzing product relationships, customer preferences and usage patterns.
Performing this analysis manually is not only cumbersome, but also prone to misses and errors. Quite naturally, increase in volumes will result in proportionate increase in time and costs. These factors make the generation of product kits untenable, and customers lose out on a good experience.
We automate the process of identifying products frequently bought together. Our AI models analyze usage scenarios (such hammer and nails), common job tasks (such as painting or baking), and thematic associations (such as electronic gaming or gardening).
We also offer tailored suggestions based on specific client requests or sales objectives, empowering sales teams to leverage upselling and cross-selling opportunities.
And most importantly, we can do this at scale, without significant cost escalations.
Our data-driven insights can go beyond product bundling in the following ways
