The Revolutionary Power of Bionic Revenue Management in Hospitality
Jan 22, 2024Reflecting on the transformative impact of COVID-19, I recall navigating through uncertainty with limited resources and facing a unique demand landscape. The closure of 95% of our hotel portfolio was a testament to the difficulties faced, yet it never dampened our hope.
The pandemic underscored the crucial role of technology, especially in Revenue Management. I first heard the term Bionic Revenue Management (BRM) in 2020 following a conversation with BCG. The combining advanced technological solutions with human insights, marking a strategic shift towards automation, data analytics, and innovative planning.
While the term "Bionic" might conjure images of science fiction, reminiscent of futuristic films and novels, its actual definition is firmly grounded in reality.
"Bionic" refers to the integration of biological elements with mechanical or electronic systems. More broadly, it's used to describe the blending of natural, human capabilities with advanced technology.
This integration is not a concept reserved for the distant future or imaginative storytelling; it's a present-day reality, playing an increasingly significant role in various fields, including medicine, robotics, and business.
Sometimes, when I speak about the concept of "Bionic" in conversations, I encounter raised eyebrows or smiles, as if some think I've been watching too many science fiction movies. However, the reality is that "Bionic" is not a product of fiction but a tangible, practical approach we are embracing today.
The Shift to a Bionic Model
The Game Changers: AI and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of this transformation, fundamentally reshaping how revenue management is approached in the hospitality sector. These technologies bring a level of sophistication to data analysis that goes beyond human capabilities, allowing for more accurate predictions of market trends, customer behavior, and pricing strategies.
One of the most impactful applications of AI and ML in hospitality is in demand forecasting. Traditional models of forecasting based on historical data are no longer sufficient in today’s rapidly changing environment. AI and ML algorithms can analyze vast datasets – encompassing factors like market dynamics, consumer sentiment, and even weather patterns – to make more accurate and dynamic predictions.
Another area where AI and ML are making significant strides is in dynamic pricing. Hotels can now adjust their pricing in real-time, responding to changes in demand, competitor pricing, and other market variables. This dynamic approach ensures optimal room rates, maximizing revenue and occupancy.
In essence, the shift to a bionic model in hospitality, underscored by digital transformation, personalization, and the use of AI and ML, is not just a trend. It's a strategic imperative that is reshaping the industry, driving revenue growth, and enhancing customer experiences in profound and lasting ways.
Elements of Bionic Revenue Management
Enhanced Forecasting Processes
· Integration of Diverse Variables: Modern forecasting in Revenue Management goes beyond transactional models. Today's technology allows the incorporation of additional variables into forecasting processes. These include customer sentiment, flight information, quality metrics, and more. This holistic approach provides a more nuanced and accurate prediction of demand.
· Utilization of Advanced Analytics: Leveraging big data and sophisticated analytics tools, these forecasting models can process complex datasets to yield more precise and actionable insights. This shift enables a deeper understanding of market dynamics and customer behavior.
Automation of Pricing
Reflecting on the evolution of Revenue Management, I am transported back to my own beginnings in the field in 2000. The landscape of Revenue Management was vastly different then—much more manual, almost artisanal. I can still vividly recall the meticulous hours spent crafting pick-up analyses and forecasts in Excel, my screen awash with an intricate mosaic of cells and formulas. Each rate change was a deliberate keystroke, each decision a careful calculation.
And then there was the dissemination of our pricing strategies—dispatching updates via fax, or navigating the nascent interfaces of the first Extranets. It was a time when the pulse of demand was felt through numbers crunched by hand, and the day's success was measured by the meticulous alignment of columns and rows.
The arrival of channel managers marked the beginning of a new era. A groundbreaking shift from manual updates to “automated distribution” even though configuration was not easy and was not 100% accurate.. it meant progress.
Today, technology has advanced to the point where we can implement processes for optimization and automation of pricing on a daily basis. Reacting to changes in demand, these systems are capable of applying subtle price fluctuations up to 18 months in advance. Do you still believe that making these changes manually is more efficient, that a Revenue Manager has the time to be scrutinizing demand 18 months down the line? It is in these minor price adjustments, and with the right reaction, where the hidden profits lie.
Technology-Driven Price Optimization:
The advent of AI and machine learning technologies has revolutionized pricing strategies in Revenue Management. We've transitioned from spreadsheets to sophisticated automated pricing systems that dynamically adjust rates in real-time, nimbly responding to market demand, competitor pricing, and a host of other external factors.
Empowering Revenue Managers as Strategists:
With pricing automation, I have seen Revenue Managers liberated from the routine price setting tasks. This paradigm shift has transformed them into true strategists, overseeing these intelligent systems, interpreting their recommendations, and directing their focus toward seizing significant revenue opportunities. We're no longer just number crunchers; we're influential players shaping the performance across all segments of our hotels.
These memories of where we started contrast starkly with the bionic capabilities we harness today. Yet, they serve as a poignant reminder of our journey—a journey marked by innovation, adaptability, and the relentless pursuit of excellence. It's a journey that continues to inspire and propel us forward into the ever-evolving narrative of Revenue Management.
Expanding Revenue Management Scope
· Management Efficiency: The time saved through automated processes and enhanced forecasting allows Revenue Managers to oversee a larger portfolio of hotels efficiently. This scalability is crucial in today’s rapidly evolving hospitality landscape.
· Beyond Room Revenue: The role of the Revenue Manager is expanding to include areas traditionally outside the scope of room sales. This includes optimizing revenue in Food and Beverage services, meeting space utilization, retail outlets within the hotel, and even parking services.
· Holistic Revenue Impact: By applying Revenue Management principles and technologies to these areas, hotels can unlock additional revenue streams and optimize overall profitability. This approach necessitates a comprehensive understanding of each segment's dynamics and customer expectations.
Final thoughts and Conclusions on the New Age of Revenue Management
The pandemic has indeed catalyzed what can aptly be termed as the 'great reset' in revenue management. This reset is not just about navigating through the aftermath of a global crisis but about fundamentally rethinking and reshaping the way revenue management functions in the hospitality industry. The concept of Bionic Revenue Management, as introduced by BCG, encapsulates this shift perfectly, emphasizing the need for a harmonious balance between human intuition and technological prowess.
The essence of Bionic Revenue Management lies in its ability to blend cutting-edge technology with strategic human insight. By automating routine tasks and integrating diverse data sources, Revenue Managers can focus on strategic decision-making and expanding their influence across all hotel revenue streams. This holistic approach not only enhances efficiency but also elevates the role of Revenue Management in driving overall business success.
Until next time, keep exploring the endless possibilities of hospitality.
Don´t forget to subscribe and share this Blog if you enjoyed it.
The views and opinions expressed in this newsletter are solely those of Fernando Vives and do not necessarily reflect those of any company or organization I work for or I am affiliated with, nor those of their partners or suppliers. The data sources used are mostly public, ChatGPT may have been used for research assistance, copywriting or editing. If you find any discrepancies or errors in the data or insights shared, please reach out to me via LinkedIn for necessary adjustments. Thank you for following and being a part of this community.
To be up to date before anyone else, subscribe to our newsletter.
We will not SPAM you, unsubscribe anytime