AI-driven process automation for operations teams

A mid-sized global travel company with over 10,000 employees was scaling its marketing and operations analytics to support increasingly complex campaign execution and customer segmentation. As the business grew, leadership needed faster, more reliable insights embedded directly into day-to-day decision-making.

The client’s internal analytics team faced growing operational friction. Campaign analysis and reporting cycles were heavily manual, data sources across channels were fragmented, and advanced modeling efforts were constrained by limited execution bandwidth. While the strategy was clear, translating insights into timely operational decisions remained a challenge.

Through the Neticca Embedded Experts (NE2) model, a senior Data Scientist was embedded into the client’s analytics organization within 10 business days. Working in full alignment with U.S. time zones, the expert partnered closely with marketing and analytics stakeholders to automate recurring workflows, unify data pipelines, and introduce machine learning–driven decision support.

The engagement focused on designing automated dashboards, streamlining attribution workflows, and building predictive models to support customer lifetime value analysis. Rather than operating as an external vendor, the embedded expert took ownership of execution within the client’s existing tools, processes, and governance structure.

The engagement delivered a measurable reduction in manual effort and improved the reliability of analytics outputs. Reporting and campaign analysis cycles accelerated by approximately 45%, enabling faster experimentation and more confident decision-making. Leadership gained clearer visibility into performance drivers, while the analytics team scaled execution capacity without the cost or delay of direct hiring.