How we helped
AlixPartners’ Data Activation Solutions (DAS) turns billions of data points into actionable insights and an agile decision-making flow that delivers significant bottom-line impact.
The Challenge
Asset-intensive industries, from mobility to logistics to manufacturing, are in flux. Customers now expect more personalized, flexible experiences. New digital competitors are lowering barriers to entry, while economic headwinds have intensified price sensitivity.
For one company, managing a fleet of more than half a million vehicles had become a complex puzzle. The company sat on vast amounts of data, including everything from fleet age, condition, and customer demand by location, to maintenance schedules and residual value forecasts. However, legacy analytics processes took up to 15 days to generate actionable insights. This delay often left senior management to make high-stakes fleet decisions with incomplete or outdated information.
Most companies recognize the transformative potential hidden in their data; what is usually needed is the ability to extract agile, connected insights that enable leaders to act decisively, strengthen competitive position, and drive meaningful EBITDA improvement.
Our Approach
AlixPartners has developed Data Activation Solutions (DAS), a next-generation data and AI platform that rapidly connects critical systems, brings in relevant external data, unifies all that data, and activates decision-making across sales, finance, and operations.
For example, with one fleet operator, we built automated data pipelines to draw from internal operational systems and external data sources such as airline schedules, competitor pricing, maintenance forecasts, and residual-value forecasts. This unified data environment was then fed into a proprietary optimization engine, developed in collaboration with leading GPU technology partners.
The AI-powered engine continuously evaluates billions of rows of data across more than 20 million variables, balancing contract economics (e.g., customer demand and pricing preferences) with vehicle economics (e.g., purchase, maintenance, and resale value).
The outcome is a dynamic solution that generates a plan with optimal EBITDA, location by location, with insights provided in near-real time and a view 18 months into the future. The model also identifies upselling opportunities tailored to individuals based on their past purchases, destinations, and new trends. A continuous process that once required weeks of laborious analysis now happens in under six hours, allowing leaders to model scenarios, test decisions, and rapidly see the EBITDA implications of each move.
The Results
The solution is delivering more than $100 million in EBITDA improvement at this fleet operator, accompanied by a step-change in analytical agility and organizational capability:
- Reduced analysis cycle from 15 days to just six hours
- Enabled dynamic, continuously learning optimization across a global fleet of more than half a million vehicles
- Created tailored upselling opportunities that provide curated customer experiences and boost profitability
- Improved visibility into asset utilization, maintenance, and residual value
- Empowered decision-making through intuitive dashboards and AI-driven recommendations.
DAS helps companies move beyond siloed decision-making to lead with informed strategies that are rapidly translated into operational execution in their most impactful areas.
