A food and beverage company found themselves under significant economic pressure due to increases in inflation. They needed to operate more efficiently and fast. We supported the firm in bringing on its first Chief Data Officer and data support staff. The new data department implemented strategies we developed for using predictive analytics to forecast demand thereby reducing waste, using AI to monitor food safety and compliance, and utilizing pricing models to secure a competitive pricing advantage. Newly brought on staff received training from our consultants on how to continue their success.

After merging with another manufacturing firm, the client faced a complex data landscape. Datafolx was hired to conduct a thorough data inventory, which revealed redundant, outdated, and inefficient data management practices across both companies. By identifying and consolidating duplicate datasets, optimizing data storage, and streamlining data workflows, Datafolx significantly reduced operational inefficiencies. This effort led to a $1.7 million savings in data storage and management costs. The improved data infrastructure allowed for more accurate decision-making and enhanced operational efficiency.

A regional bank was looking to increase its customers, maximize cross-selling opportunities, and reduce customer churn. We used Machine Learning techniques to segment customers based on behavior, spending patterns and financial goals; an AI-driven recommendation engine to personalize marketing campaign offerings; and an AI-based credit scoring model to efficiently approve loans. These measures lead to a 23% increase in customer acquisition, 19% reduction in customer churn, and 31% decrease in average loan approval time.

Selling more online merchandise was of interest to a clothing retail client. To boost sales we helped the client implement an AI-powered recommendation engine that analyzes customer browsing behavior and purchase patterns. We also helped them optimize inventory via an AI-based tool that adjusts pricing based on inventory, customer behavior, and competitor pricing . After our assistance the client experienced a dramatic rise in online sales (27%) in the first three months, demonstrating the effectiveness of a carefully tailored AI forward business strategy.