Our work in



Case Study

Automate human decision making to maximize sales

Develop a pipeline that optimizes sales assignments to leads to increase revenue


Our client was devoting thousands of hours of human decision making time to analyze sales prospects and assign sales leads within their company. The existing system used an outdated model that required heavy time-consuming interaction and introduced significant human error.

They needed a predictive model that could deliver proven results to make AI-generated recommendations to assist their team, and optimize sales outcomes.


We extracted and engineered new features based on their dataset, created bespoke models, and developed an algorithm to streamline process management.

The predictive models allowed our client to automate the assignment of prospects to sales leads, reduce human error, and assist their team with decision making. Preliminary analysis suggests the model would increase sales by 12%.

BackBack to tech case studies
View related case studies