Pauline Oliver: How Data and AI Are Influencing Revenue Management
October 18, 2024
Pauline Oliver from IDeaS delivered an engaging presentation at UbiCollaborate 2024, highlighting the significant role of data and artificial intelligence (AI) in transforming revenue management. With over three years of experience at the conference, Oliver expressed her excitement to connect with both familiar and new faces in the audience.
The Evolution of AI in Business
Pauline began by reflecting on the historical context of AI, referencing Alan Turing, who posed the pivotal question, “Can computers think?” This foundational inquiry paved the way for AI’s development. She noted that while AI was initially rooted in rules and logic, the emergence of machine learning in the 1990s marked a significant turning point. This evolution led to the establishment of IDeaS, which quickly adopted AI technologies to tackle business challenges.
The Power of Optimisation Engines
In her talk, Pauline emphasised the vast amounts of data generated by businesses today, much of which remains underutilised. IDeaS employs optimisation engines that can ingest and analyse this data, providing organisations with the insights necessary to address complex problems. Their capabilities span forecasting, data segmentation, inventory management, and profit optimisation, all crucial for making informed decisions.
Applications in the Parking Industry
Pauline also focused on the parking sector, where IDeaS collaborates with major airports globally, including Melbourne and Sydney. These partnerships allow them to leverage AI to enhance commercial performance in airport parking operations. By modelling real-world scenarios through digital twins, they can predict future outcomes and make data-driven decisions.
Revenue Management: A Formula 1 Analogy
To illustrate the impact of technology on revenue management, Pauline compared it to driving a Formula 1 car. Success in this arena relies on precision and agility. She described the importance of starting with big data and business intelligence, which ground businesses in their existing information. From there, machine learning and automation can refine strategies for improved decision-making.
The Importance of Dynamic Pricing
In the parking industry, AI facilitates a shift from simple rule-based pricing to sophisticated, data-driven strategies. Pauline explained how accurate demand forecasting enables businesses to optimise their pricing models. For instance, she discussed a hypothetical parking lot with 100 spaces, illustrating how different pricing strategies can affect revenue. Charging $50 may yield higher revenue than a flat $60 rate due to variations in demand.
Navigating Uncertainty with AI
Pauline acknowledged the complexities of pricing decisions influenced by external factors, such as events and competition. She emphasised that while many businesses traditionally look in the rearview mirror to make decisions, the future remains uncertain. AI provides the tools necessary for businesses to navigate this uncertainty, allowing for informed decision-making that adapts to evolving market conditions.
Conclusion: Embracing AI for Future Success
Pauline Oliver’s insights at UbiCollaborate 2024 underscored the transformative potential of AI in revenue management. By accurately forecasting demand and utilising data strategically, businesses can unlock new opportunities for growth and enhance profitability.
Watch her full presentation online.