We created an analytical model that could compute what maximum potential might look like for any specific consumer based on attributes shared with us. This research was carried out by product category and region to see where the company had the most room for expansion. We also predicted the product-level sales pitch that are most likely to succeed with each underserved consumer. While importing the model’s output into a digital display, we also allowed the promotion of front-line adoption.

Our research indicated a wide range of tastes among BuildQ’s customers especially since they were also able to start their real-estate division.. We discovered that some accounts desired more regular in-person visits, while others wanted less, based on focus groups and sales statistics. With this data, we were able to assist the company in developing and restructuring strategies that would ensure that each customer received the maximum amount of attention possible. We devised a new set of operational responsibilities that were suited for their target client base. Overall, their growth was boosted by around 15% as a result of our proposal, and additional support functions, including an operations analytics team was put in place for them.