Offer And Order Management Challenges Holding Back Airlines’ Group Booking Revenue

Offer And Order Management Challenges Holding Back Airlines’ Group Booking Revenue

Given how the airline industry must contend with heavy regulation, wildly fluctuating fuel prices, and many more challenges that threaten it daily, they have strived to become masters at revenue maximization.

Everything from a bottle of water to a few extra inches of legroom on a flight has become subject to careful consideration when it comes to pricing. Airlines have even managed to compartmentalize the entire flight, splitting passengers into categories based on purchasing power to charge optimal rates for each person. 

Further, airlines have automated nearly everything that happens after a person makes a booking, such as payment reminders, ticket generation, requests to update the passenger’s name, etc. 

Despite all these advancements in automation and predictive technology, airlines have struggled to bring to group bookings the same convenience, personalization, and dynamic pricing that individuals get when they book a flight. As a result, airlines are losing their opportunity to increase group revenue by up to 28%

Why legacy offer and order creation methods aren’t doing airlines any favors

Every aspect of a group booking, including offer creation, order creation, and post-sales support, is riddled with inefficiencies that cause revenue leakage, poor help desk productivity, and a subpar customer experience. 

When a customer wants a group quote, most airlines have them send an email with their requirements. The airline cannot know how valuable the group is, so the email goes to the bottom of the pile. By the time the revenue management team, sales, or the help desk gets to it, the customer has most likely requested quotes from multiple airlines.

3 out of 4 times, the customer accepts the group quote from the airline that responds first. 

The email-driven process also means that the airline has no way of knowing the customers’ buying history, level of urgency, purchasing power, ancillary requirements, etc., which leads to a generic offer. 

Meanwhile, for the order to be created, the customer must go through the airline’s reservation system, which isn’t typically designed to handle the nuances of group bookings. The airline cannot quickly create PNRs with multiple group terms and conditions. Aside from that, the customer faces issues, such as difficulties in payment due to the size and complexity of the booking and the tiresome manual ticketing process.

Post-ticketing, the call centers that handle the customers’ calls have difficulty providing proper ancillaries or the ability to quickly modify or partially cancel the bookings, leading to poor customer experience.  

What should airlines prioritize to maximize group booking revenue?

The next decade belongs to the airlines that can reimagine the group booking process. 

Given that premium corporate customers make many group bookings, airlines that prioritize modernizing the entire process to make it more personalized and convenient can expect a huge upside. 

One of the best investments an airline can make in this regard is implementing an AI-powered group booking solution, like GroupRM, that can provide customers easy to use online interface to make their group requests with all the customizations they need. 

The platform further equips you with the ability to provide customers with special group fares, direct confirmation of bookings, purchase specialized ancillaries, and, most importantly, make, modify, or cancel bookings via self-service. 

Besides, the prices provided by the solution would be real-time fares that the customers can negotiate or accept via the same platform in a few clicks. 

An airline in Southeast Asia saw revenue from retail groups increase from zero to $1.5M in 3 months with the implementation of an online interface for their passengers to make group bookings easily.

Further, payments can be made through multiple means, such as credit card, BSP, wire transfer, cash, etc., and an EMD can be generated against the payment. Additionally, the customers can update their group passengers’ names simultaneously without the airline having to follow up to get each one. 

Due to the increased visibility and ease of booking provided by the group booking software, an Indian carrier saw its daily group requests increase from 800 to 4000 within three months.  

As this unfolds, the airline’s revenue manager can track and manage all group bookings through a unified platform. 

Through this automation of the order, offer, and post-booking management process, airlines can ensure optimal revenue, increased customer satisfaction, high efficiency by eliminating manual chores and being on top of all the relevant group booking metrics as well. 

Conclusion 

Over 20 airlines, both full-service and budget carriers, have employed GroupRM to reimagine their group booking process and consequently enjoyed stellar results. The solution paid for itself in a matter of weeks by providing a delightful booking experience to retail customers, corporates, and travel agency partners. Notably, airlines reported being able to tackle all the limitations that they had been facing with their previous group booking systems. 

If, as a revenue manager, you are interested in providing your group passengers with transparent pricing, personalized ancillaries, customizable group requests & policies based on segment, and a hassle-free experience from requesting to the time of ticket generation, reach us for a demo.

Maximizing Revenue With AI Forecasting Group Passengers’ Willingness To Pay

Maximizing Revenue With AI: Forecasting Group Passengers’ Willingness To Pay

At the end of 2022, long after the pandemic had been declared over in most of the world, airline revenue still hadn’t touched pre-covid levels. 

It wasn’t even close; airlines had made at least $100 million more in revenue in 2019.  

Largely, this shortfall has been attributed to airlines’ revenue optimization systems getting out of whack. The industry had no reliable historical data to make pricing decisions, given how everything was shut down for nearly two years. 

Making “educated guesses” has unfortunately become the norm when it comes to pricing decisions, and it shows, especially with group bookings. 

Airlines have witnessed record numbers of customers making inquiries for group bookings and backing out, saying the prices were too high. In other cases, revenue managers have been forced to make steep cuts to group booking fares to ensure the flight was filled. 

How AI can cause a turnaround in airline fortunes

Something is broken when it comes to airlines’ pricing methods for group bookings.

Group fares are notoriously hard to optimize; a ton of factors must be considered before arriving at a quote, and often, this takes an airline at least a week.

Within that period, 3 out of 4 customers lose interest in the airline. When the quote is finally ready, it ends up disappointing either the airline or group passenger because the fares are outdated by then. 

Consequently, the need of the hour is an AI-powered system that can forecast customer willingness to pay, taking into consideration all the relevant factors, such as:

  • Booking data: By analyzing data including the size of the group, the destination, flight load factor, customer buying history, and the time of year, AI algorithms can predict how much a group is willing to pay for their travel. 
  • External factors: Armed with tons of data, AI systems can even take into consideration external factors, like economic conditions, competition, and market trends.

Using such factors, an AI system can constantly test and optimize pricing strategies to maximize revenue, repricing seats in real-time based on passenger willingness to pay. The goal is to find optimal prices for each passenger while ensuring the aircraft is filled. 

Notably, dynamic pricing by forecasting customer willingness to pay with AI can improve group fares by at least 8 to 10 % over time and provide airlines with the following benefits. 

Reduce conflict between sales and revenue management teams

The sales and revenue management team may often be at crossroads because they have seemingly different goals. The former may look to increase the load factor at any cost, while the latter may be looking to onboard passengers for the maximum possible fares, leading to conflict between the sales and revenue management teams.

However, with intelligent pricing, both teams can rest assured that the group passengers are paying the best possible fares without the risk of them abandoning the booking. Consequently, the flight will be booked ahead of time, and the airline is assured of the fact that the maximum possible revenue has been generated from each group passenger.

Excellent customer experience

Typically, group quotes take up to a week to create, with the sales and revenue management teams engaged in a back-and-forth regarding the best fares. However, with real-time dynamic pricing that considers customers’ willingness to pay at that moment, the quote is ready in a matter of seconds, leading to a much higher chance of the customer accepting the offer from the airline. The customer is delighted with the quick turnaround time and seamless booking experience

Enforce airline policy effectively 

With an AI-based system in place to generate the prices for the group passengers, there is heightened transparency. No individual revenue manager can bypass airline policy with regard to discounts or other aspects of the booking, leading to a high degree of impartiality when it comes to making offers to potential customers.

Effectively target different market segments

Not all group passengers have the same level of urgency, budget, etc., to make a booking. If you have a system in place that can differentiate between customer segments and offer personalized quotes, you have the recipe for optimizing revenue across each of your customer segments.  

For instance, the system can recognize that a flight carrying mostly business travelers is in high demand during a particular season or time of day and alter prices accordingly to optimize revenue. 

Improve process efficiency

When seats are in high demand, airlines can leverage predictive technology to offer up the seats to groups who are most likely to pay the highest fare. Such predictions are made by the AI, considering the customers buying history, origin, destination, departure date, travel agency, type of travel, etc. This move leads to a reduction in the spoilage of seats, an increase in materialization rates, and a boost in revenue per passenger as well.

Conclusion 

GroupRM is a valuable tool for airlines looking to forecast group passengers’ willingness to pay and increase revenue. By analyzing customer data and utilizing predictive analytics, GroupRM allows airlines to make informed pricing decisions and create customized group travel quotes that appeal to their target audience.

Additionally, the platform’s ability to optimize capacity utilization and streamline the group booking process can lead to higher materialization rates and overall revenue growth for the airline. Overall, implementing GroupRM can be a strategic move for airlines looking to improve their group sales performance and drive business success. To see the solution in action, reach the GroupRM team for a demo