18th May, 2020
GDSs have been focusing on ensuring agencies are able to access NDC content in the same workflow as other content. In addition to this, they also have been working on live NDC bookings, new tools for agencies etc. In this context, the recent termination of the distribution pact between Lufthansa Group and Sabre is an interesting development.
Ai’s Ritesh Gupta spoke to two travel distribution and technology executives – Akshay Shah, Chief Commercial Officer, JR Technologies, and Ryan M. Harris, Director, JR Technologies about the same:
Ai: What do you make of the development from airline distribution perspective?
Ryan: I think that this action is the continuation of a strategic shift by the airline in terms of where they want to take their distribution mix to the future.
If we look back to September 2015, the introduction of the €16 booking fee that applied to all GDS booking had a very similar reaction by the industry, a lot of people through that it wouldn’t last and that the fee would be short-lived. Five years later, the fee is not only still there, it has expanded and is now relatively commonplace in most markets.
There is no question that the goal of the fee back in 2015 was to drive more passengers to the airline’s direct channels and to incentivize travel agents to adapt the airline’s direct portal. Lufthansa has been very active in supporting, developing, testing, and implementing projects that are NDC and ONE Order focused, which is the IATA initiative that helps to facilitate the transition away from the traditional indirect channels moving to the airline-controlled distribution model of the future. While I’m not privy to the strategic goals of Lufthansa, I have to believe that they would not have taken this action lightly and that based on what they have done in the past, they are committed to it.
Ai: How can Lufthansa Group make up for the role of Sabre?
Ryan: Lufthansa is large enough that the market demand for their product, in normal times at least, will naturally find a channel.
If a customer wants to purchase a Lufthansa ticket and a Sabre agent cannot sell it, the customer will find another way to purchase it without that agent. This is where the direct agency connection can be leveraged with the agency, as it offers the Sabre agent a pathway to keep the customer with them by offering what the customer wants to buy at a more competitive price, because now the GDS booking fee is not applied. The airline lowers its cost of sale, the customer gets the services they want at a better price, and the agency retains the customer’s business, pretty much everyone wins except the GDS. This only works because of the airline involved. A smaller carrier with less of a market presence cannot successfully drive this change.
Ai: How can the agent community connect with the airline offerings - different GDS (but still paying surcharge if not using NDC) or focusing on NDC (be it for directly via API, aggregators etc.)?
Ryan: Larger and multi-location agencies tend to have their own internal systems that can source content from multiple GDSs and other providers, including a potential API connection from an airline or an aggregator. For smaller agencies, the direct airline portal is likely the path to offer content outside of the GDS and offers the airline the quickest time to market.
Ai: Airlines have found a way to distribute exclusive offerings, for instance via the NDC API. Agents do gain access to it, but what additional cost they have to bear if they don't go via the GDS route?
Akshay: The additional costs that agencies have to deal with when working with an airline through its NDC APIs are development costs into the agency's booking platform. The development cost is considerable because each airline has its own version of NDC that they have implemented. Some airlines have one version of NDC and others have another version. Each one will have its own independent development costs. Additionally, you could have two airlines that implemented NDC from the same provider at XX.X version. One would think that you develop to one carrier and the other carrier will be identical and should take no time at all to integrate. The issue is that each airline independently developed on top of the API creating two different versions even though it is considered NDC version XX.X.
If the agency has many transactions, they will have to figure out a way to create accounting records that could interface into their back-office accounting systems. Otherwise, they will have to create and account for these transactions manually, which increases overhead.
Lastly, if the airline has an older version of NDC, a lot of servicing of the reservation will have to be done with the agent calling the airline.
Ai: Considering two options to access Lufthansa's NDC content - browser-based agency tool and NDC API - what kind of preparation needs to be done by agents?
Akshay: An agency using the browser-based agency tool will have to create several checks and processes. All transactions that happen through the booking portal are the responsibility of the agency. Therefore, the agency will require an administer for all the login credentials of every employee. When a reservation is created, they will require processes on how to handle disruption and schedule changes. Additionally, they will need workflows to account for the transaction through their accounting departments/ software. If an agency has an outsourced after hour service center, the agency will have to work with that entity to access bookings on the portal. These are the few I can think of right now. The main issue with the use of the browser-based agency tool is from the perspective of search. The agent will have to perform one search, either in a GDS or other booking platform, to get fares and itineraries for other carriers and then do a second search in the browser too.
The use of the API would mean that the agency has some sort of booking platform. Therefore, all of the processes that are currently done through the booking platform should be the same path that the NDC content follows.
(There are several ways to market with NDC. Options include a direct connect, via a GDS, a non-GDS aggregator, a meta-search engine and a message hub).
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Interview with Len Llaguno, Founder, KYROS Insights
6th May, 2020
The role played by smart assumptions in managing FFPs' liability in these uncertain times can’t be undermined.
According to KYROS Insights, astute liability management entails a couple of aspects - an understanding of the past and confidence in the future. So what does it take to craft smart assumptions for travellers' behavior and manage liability?
Managing a loyalty program's liability is an arduous task these days, especially considering that airlines, as an industry, is facing liquidity crisis.
Acknowledging the same, Len Llaguno, Founder, KYROS Insights highlighted that airlines have to find a tantalizing balance between letting a loyalty program member redeem their loyalty currency so that they remain engaged and satisifed, vis-a-vis the burden same puts on an airline's financial condition and adversely impacts their plan to sustain cash flow to tide them over this period.
"For any airline struggling with cash flow, every redemption that comes (for example) on a gift card, is going to deplete the cash reserves. And possibly getting the airline one step closer to bankruptcy," said Llaguno.
So those who are responsible for FFPs are in a precarious state. It is exemplified by the fact they are possibly going to end up with two sub-optimal situations – one in which they decide to pose restrictions on redemptions, which isn't prudent, and second if they don’t put restrictions, then any increased pressure in terms of cash flow, too, is a hard-hitting issue to cope up with.
"No matter how one looks at it, both are awful decisions to choose from (at this juncture)," Llaguno said. At the same time, he also cautioned airlines. "If the current economic situation is being used as an excuse to devalue the loyalty program, then that’s an awful idea. This is only going to hurt the long-term prospects of the program and key aspects such as the retention of members, and eventually result in a bad economic outcome," said Llaguno, who mentioned that airlines can be given a benefit of doubt at this stage as the liquidity issue is for real.
He also pointed out that the critical aspect is going to be the communication plan. Any unfavourable or unattractive decision being taken with a pragmatic reasoning needs to be conveyed, and would only ease the burden to an extent. Being honest, as usually it pans out, is the best approach.
Significance of segmentation in smart assumptions
A main issue that has emerged with data, analytics and making assumptions is – there is no practical or observed data to evaluate how things are going to shape up.
"Any model that has been worked on has utilised historical data. That data didn’t feature an occurrence like a pandemic or similar to what is happening today. That’s where the professional judgement comes in and is going to fill in the gaps in those models. We, as actuaries (specialists armed with data and statistics and use the same for predictions), have handled liability management for over a decade, and accordingly using our expertise along with intuition in coming up with reasonable assumptions. Plus, the plan is also to leverage companies’ business understanding and gathering as much relevant information as possible," said Llaguno.
"For any smart assumption, the way to do is to segment members based on their expected future behaviour, and set different assumptions for different segments," he said. One category features those who are possibly or likely to expire their loyalty currency, and at the other end of the spectrum, the category segments those members who are most likely to redeem their currency or are among the highly engaged FFP members. And typically, as KYROS works on segmentation, there are eight segments of members in between.
Gearing up for expected future behavior
Llaguno referred to tiers is an example of the past behaviour. “It is a way of assessing what a member has done up to a particular period of the year and that results in a tier status. It is not explicitly saying or making any prediction about what members in that tier are going to do in the future. And that’s the difference when you create profiles based on the expected future behaviour. Members in that profile are expected to show uniformity in their behaviour, say a couple of years into the future. And once you get to that level it becomes really powerful, and now you’re able to identify a member and based on the understanding of their behaviour start feeding that into how you are going to engage with them. One can be more proactive, for instance how to target them.”
He further added, “And that is absolutely possible to do and we have leveraged actuarial theory and machine learning for success. It allows to make predictions for 1-2 years horizon or more into the future. The theory works on an aggregated level and when the actuarial theory is combined with machine learning, it allows one to get granular with predictions - allows to predict at an individual member’s level.” He continued, “It needs to be considered that models are not strictly going to do an apt job in this scenario. It is imperative to have an infrastructure in place to monitor, and evaluate assumptions and adjust these professional judgments over time. Assumptions are going to be wrong, irrespective of how smart or good they are. There is need to course-correct as you learn.”
Being relevant to members
Tiers are important motivators, but only if attainable. And that is going to be different for every single member. And increasingly the current tier qualification standards are just not attainable for most members. And even for those who normally qualify are going to find it tough in the coming year because of the pandemic.
“The way we think it needs to be handled is - make one global change making tier status easy to achieve for people but then also use predictive analytics and the rich data that loyalty programs create to build models to help understand how to send offers to individual members. For instance, “we have reduced the tier qualification but here is the extra bonus for you to make it easier to reach the status”. That way you are making the tier qualification status for each individual member unique or may be at a segment level. So tier is going to be leveraged as a motivator in the most effective way. Because there is customisation for each individual, customising their qualification standard based on the unique circumstances of each member. And obviously one doesn’t want everyone to qualify otherwise it would be overloaded with volume and then devalue the value of the tier status. So lot of nuances there for execution. It can be a powerful tool in driving the desired behaviour and accelerate the recovery when it eventually happens the recovery when it happens,” said Llaguno.
Putting a value on a member
Llaguno highlighted that program managers need to put a value on each member.
“Value your customers, put a number on them that represents their expected future profit for the organisation (a bottomline number) - model the expected revenue, cost of goods sold, marketing cost, acquisition cost and the redemption cost to be incurred for members for every point they earn. Then one can get to bottomline profit number. Select some horizon. Getting to this point, which most airlines don’t, is incredibly insightful,” he said.
He added, “Because you soon realise that 20% of your members are going to generate 80% of your profits over the next 2 to 5 years. The problem today is that loyalty programs and airlines don’t know who that 20% is. And it’s not that who you think it is. Your highest tier members are absolutely some of your most valuable members and that’s not really surprising but the interesting part is lot of high value members in lowest tiers. And the problem is airlines and loyalty programs Have no way to identify them today and if you’re able to build models predict expected future profit that gives you the ability to identify them today and be more proactive engaging with them, sending personalised offers etc. And that activity allows you to focus your time and resources on Members that really going to move the economic needle and maximise the likelihood of capturing that profit from those members and potentially grow profit from members.”
13th April, 2020
The coronavirus pandemic is forcing travel brands to reassess what to offer and how to take care of travelers, especially considering the major health risks posed by COVID-19.
Travel companies are collecting all the relevant information from government and medical authorities, and have been acting accordingly. Airlines are not only finding ways to ensure safety of passengers when they decide to travel, for instance, by practice social distancing on the ground and in the air, but they are also protecting their employees, how to handle suspected or confirmed cases of coronavirus etc.
Some of the recent initiatives that have stood out:
By Ritesh Gupta
6th March, 2020
Ai Editorial: There are several areas that need to be catered to in order to attain NDC@Scale certification. And one of them pertains to responding to huge volume of NDC queries in a fast and precise manner, writes Ai’s Ritesh Gupta
IATA NDC@Scale Certification is being counted upon as a vital development in progressing from working out a real standard to scalability of the same.
This certification is a key component of the airline Leaderboard roadmap towards critical mass. It verifies the ability of an airline to process volumes of NDC sales against certain criteria.
The assessment is around technical setup (ability to run an NDC API on Service Level Agreements with performance requirements for areas such as response time, availability, available transactions per second, error management, etc.), organization setup (work on support needed to connect new partners and to run the operations), use cases (implementation of standardized messages workflows e. g. shopping, servicing etc.) and capabilities. More than 10 airlines have achieved the IATA NDC@Scale Certification.
From an airline’s perspective, the technical set up is a critical aspect for supporting NDC content. Considering the fact the onus is on airline to cater to request coming from the indirect channel, areas that need to be dwelled upon are – dealing with the huge magnitude of queries coming in, ensuring real-time accuracy etc. So if on one hand, airlines have to consider the limitation of a solution like a cache offering, on the other they can’t ignore the return on investment aspect. Response to a search, as also highlighted by Farelogix’s CEO, Jim Davidson, has to be done not only precisely but also in a fast manner. He recently highlighted: “With NDC, an airline’s control of the offer comes with a responsibility to return offers – fast. Enabling airlines to deliver relevant offers based on who’s asking (consumer, corporate, check-in, travel agency, OTA) in a second or less, to me, is the essence of NDC@Scale. For many airlines, that’s plain scary. But it needn’t be, with the right offer engines in place. In fact, with the necessary horsepower, accomplishing NDC@Scale can be fun”.
As Farelogix recommends, offer engines must respond to high-volume, NDC-shopping requests in milliseconds. The team has been highlighting that integration of “airline-controlled shopping and pricing engines with schedule and availability data from sources outside the traditional ecosystem can simultaneously deliver performant response times, as well as lower the costs (e.g. look-to-book)”. The team also asserts that it imperative for airlines to respond to the nature of the offer in an apt manner.
An area that is in its nascent stages is moving away from static offers. Pricing is being evaluated closely as airlines gear up for offer optimization. Being in control of the offer to the extent that it matches one’s willingness to pay and offers them trip essentials including non-air ancillaries is what is being targeted. And for this, overcoming the limitation of static rule-based methods and real-time calculation of offers is must.
There are a number of questions that need to be answered in order to ably meet the technical requirements while handling a massive volume of NDC searches. All these requirements, as Davidson also recommends, must “think about dynamically constructing and delivering unique and relevant offers based on point-of-inquiry elements”.
Keen on exploring topics related to digital commerce?
Ai has planned #AncillaryRevenue Conferences in Berlin, Bangkok and San Antonio in 2020:
4th March, 2020
Airlines are developing machine learning answers to a number of questions, and one of them relates to dynamic pricing of ancillary offers.
"It is something that's coming. There is a lot of work going on at a theoretical level. Lot of mathematicians are building algorithms and some of the revenue management specialists are involved in that effort. This is something we are in early days of. We aren't seeing anyone doing true dynamic pricing yet. At best what they are doing is using market inputs to adjust filed fares," shared Ian Tunnacliffe (He spoke to Ai during the previous edition of #MegaEvent held in St. Petersburg, Florida a couple of months ago).
For more, watch the video featuring Ian Tunnacliffe.
14th February, 2020
Ai Editorial: Airlines and even organizations from other sectors in their journey of agile transformation show common characteristics. Plus, there are common pitfalls and challenges to learn from too. Ai’s Ritesh Gupta evaluates the same.
For organizations focused on agile transformation, there are certain common guiding ethos. They revolve around continuous learning and adjustment, there is collaboration among cross-functional teams and development teams iterate towards optimal outcomes by developing new solutions incrementally.
Concepts like Agile Scrum methodology (a disciplined way to solve a problem) and Minimum Viable Product (MVP) are integral to what is underway to deliver business value faster. Be it for an airline opting to run two different tracks, including the new one for being a part of today’s digital economy, or paving way for the entrepreneurship mode via a venture capitalist arm, airlines are moving along.
Are airlines showing signs of taking the leap into the future, combating organizational/ cultural defiance, limitation of this industry’s legacy technology and operational silos? What there is to learn from the initiatives taken by the likes of Ryanair, AirAsia, JetBlue, KLM, Etihad etc.?
Organizations like Etihad and Lufthansa have worked on ways to counter internal barriers, especially ones that are associated with operating in silos. Encouraging employees to learn, adding staff with new skillsets, counting on the proficiency of self-organizing cross-functional groups, and speedy learning via shorter cycles is a common approach to agile transformation.
Ai has planned #AncillaryRevenue Conferences in Berlin, Bangkok and San Antonio in 2020:
11th February, 2020
Ai Editorial: It is imperative for airlines to assess how travel shoppers perceive the overall value while shopping via the indirect channel. This would improve once intermediaries and technology specialists respond to the call for better presentation and UX design for discovering airline offerings, writes Ai’s Ritesh Gupta
Airlines are looking at investing and structuring their teams around several areas – product management, customer data platform, data analytics, IT set up etc. to serve the customer throughout their journey.
The entire plan around modern retailing starts from understanding what the travel shopper is looking for, and then working out an itinerary. An offer could include only a flight ticket (along with air ancillaries, bundled or unbundled) plus other products (travel-related ancillaries and even other products, again bundled or unbundled).
An integral part of airline retailing is enabling the shopper, be it one from the leisure segment or the corporate traveler, to view the complete offer. From distribution perspective, NDC is a messaging standard. It isn’t an answer to the entire organizational investment to support their retailing plan.
In the distribution world, the complexity primarily comes from the fact that in the indirect channel, the industry is attempting to utilize systems, fare filing etc. not designed to manage product bundles or ancillaries in general. What airlines have been finding attractive with NDC is doing away with filing of fares, and all priced offers to be created by the airline’s Offer Management System.
Just not about crafting the offer
Airlines assert that they can manage the offer on their own channels, but presenting flight-related options or offers to customers booking elsewhere tends to be a challenge.
For their distribution mix, other than the commercial aspect, airlines are looking at how their third party distribution partners are gearing up to enable the shopper to choose the offer that is right for them.
The likes of Amadeus, Sabre and Travelport acknowledge that with options such as branded fares, a la carte ancillaries, bundling, plus dynamic NDC offers, travel technology and distribution entities have to prepare for - how to present the assorted offers in a simple and comparable way. The airline might have worked out a compelling offer, but equally important is the fact the same resonates with the shopper, too. So travelers must fully understand the offer from the choice that is being presented before they make a commitment. Being in a position to price continuously or offering certain content only via NDC-enabled channels won’t serve the purpose if airlines and the industry at large fail to counter the hurdles associated with displaying of richer content. Airlines need to ensure they have a way to display and sell their dynamic inventory and products/ bundles.
As carriers increasingly work on differentiating the product and tailoring offers, and highlighting the same, travel resellers, too, have an opportunity to demonstrate the value they bring to indirect selling.
A positive development in this area is a set of data standards (in NGS) being shaped by ATPCO, and the initiative to work on the same region-wise. This is expected to enable travel intermediaries to better present, sort, and find the airline products and services travel shopper are looking for. It is worth following how channels utilize the same going forward to integrate content into luring shopping displays. Travel content continues to become more complex due to branded fares, a la carte ancillaries etc. and accordingly the third party channels have to respond. Travel aggregators are working on ways to let one request, compare, and book NDC Offers. ATPCO’s initiative will establish common standards for amenity data, providing a simpler, intuitive, graphical representation of each product’s attributes, whether they are included in a fare or available for additional cost.
As for the interface and overall UX on OTAs, meta-search engines etc., it is expected that the travel industry is going to evolve to pull in more information from their travel shoppers about what all they are looking for and accordingly come up with ranking of offers not just fares in the search results. Comparing what all each airline has to offer on a mobile device plus enabling shoppers to take a decision accordingly is one huge undertaking that various stakeholders in the indirect distribution value chain need to take – be it for GDS, search engine, OTA etc.
Keen on exploring topics related to digital commerce?
Ai has planned #AncillaryRevenue Conferences in Berlin, Bangkok and San Antonio in 2020:
6th February, 2020
Ai Editorial: Voice is the next frontier for travel e-commerce players and travel technology specialists. Voice technology has been around for a while, but still has a long way to go when it comes to answering complex searches/ questions, writes Ai’s Ritesh Gupta
Asking Alexa to pay for gas in the U. S. or ordering a Starbucks coffee via a Tmall Genie smart speaker in China are the sort of developments that make voice technology irrefutably exciting. In this case, technology is becoming a stronger ally. Simply because it complements a more natural style of interaction: the spoken word.
The fact voice, be it for search on an interface or via an assistant, simplifies the task in hand makes it a luring proposition. And on top of it, if the context is understood and user privacy is respected, then it is definitely a game-changer in the arena of shopping.
No doubt, it will revolutionize how people find/ learn and plan their travel. The likes of Virgin Trains, Expedia, Kayak, easyJet etc. have proved that the travel sector has been making swift progress in this arena.
It’s about the spoken word, so has to be understood first
Digital voice assistants such as Apple’s Siri, Google Assistant, Amazon’s Alexa and Microsoft’s Cortana are widely known today. As assistants or interfaces within a digital platform facilitate voice interaction within our homes, work and cars, the opportunities for brands, too, increase.
If we talk of devices, consumers are buying voice-enabled products at a rapid pace. Voice search is also a common phenomenon now. According to a study initiated by Amazon Pay last year, 20% of American consumers are likely to buy a product or service using voice in the next three years. At the same time, from users’ perspective, there is a lot to learn and voice-enabled shopping era has just begun. Google acknowledges it. Amazon, too, says we are in the very early stages of the third era – voice.
The fact users still prefer text-based searches for more complex searches/ questions indicates that voice-based search or interaction isn’t there yet.
It still boils down to where it all started i. e. facilitating a task, search or a transaction via the spoken word, and for that the words (an even the intent) needs to be understood. But comprehending is an extremely challenging proposition. Google highlights the same. The search giant comes across billions of searches every day. But 15 out of every 100 searches ones it hasn’t seen before. So the team has to find ways to produce results for queries it can’t anticipate! With reference to voice search, specialists also point out that the main hurdle at the moment is - unable to really handle “why” and “how” questions, be it for powering search via a digital interface or featuring in an interaction with a personal assistant.
Signaling progress, Google recently shared that with its neural network-based technique for natural language processing, the focus is on processing words in relation to all the other words in a sentence, rather than one-by-one in order. Google is confident that its algorithms are starting to comprehend certain nuances better, for instance, the word “to” and its relationship to the other words in the query.
In terms of direct investment, travel companies are refining their interfaces, so that they can facilitate seamless journey.
Preparing for voice-based experiences:
Ecosystems like Alibaba and Amazon are driving new experiences.
For instance, in case of Alibaba, an order placed with Starbucks via a smart speaker can be tracked in real-time and gets delivered within 30 minutes. In addition, connect their membership accounts to the smart speaker, plus receive personalized recommendations. All the sectors, including the travel industry, need to focus on connected living. It means our lives, across our respective homes, offices, cars etc., – are connected via smart devices. These bring together data, voice, video etc. to facilitate incessant experiences, as per our personal needs. At the same time, it shouldn’t be forgotten that people embrace technology for a better living that includes safety, and have high expectations around how those devices and even interactions handle their privacy. Manufacturers of voice-assisted IoT devices have to combat consumer fears regarding security and data privacy.
In its recap of this year’s Consumer Electronics Show (CES), wirecard highlighted how the way we travel, shop and work will continue to change dramatically this decade. For businesses to not just survive, but thrive, they need to shift with the times and provide new, integrated commerce experiences – whenever, however and wherever the consumer expects them. And expect voice-enabled experiences, to be an integral part of the same.
Keen on exploring topics related to digital commerce? Ai has planned #AncillaryRevenue Conferences in Berlin, Bangkok and San Antonio in 2020:
28th January, 2020
Ai Editorial: Be it for offering a complete trip itinerary themselves or being a part of a travel-related transaction on any ecosystem or a superapp, it is imperative for airlines to a find way to facilitate the same, writes Ai’s Ritesh Gupta
Digital commerce is increasingly becoming intuitive and personalized, making it easier than ever for shoppers to close in on what they are looking for. An area where the likes of Amazon and Netflix excel relates to predicting the intent of the customer, with algorithms coming up with a precise recommendation.
Now imagine looking for a travel itinerary on any digital platform.
If it is on an airline digital platform, an itinerary could include flights, featuring both full-service airlines as well as low-cost carriers. Plus, it could include diverse transportation options, for instance, flight + ground transportation. Chances are that the airline you chose for your search won’t be able to produce desired results, including for the first option owing to the fact it might not have any arrangement with another carrier beyond a certain destination.
Another aspect is how to be a part of today’s digital economy, where an airline just comes into the picture with its flight or even travel inventory, for selling via a superapp or Amazon.
Travel retailing can’t be compared with shopping for books or paying for video streaming. The consumption pattern and the fulfilment part of taking travellers from one destination to another is unique, quite different from other product categories. But airlines do acknowledge the need for simplifying travel.
Evaluating the first aspect i. e. related to multiple flights (an itinerary featuring multiple airlines) hasn’t been easy. Till date it is not easy for airlines to connect their own products with those of other airlines. There are several limitations when it comes to traditional interlining and code-share agreements , for instance, the choice of partners. In this context, the emergence of concepts such as virtual and real interlining is a welcome change. A player like Air Black Box is enabling airlines to connect inventory, irrespective of reservation system, via API integration, and sell cross-channel ancillaries. Another company, virtual interlining specialist Kiwi.com, recently started powering the sale of other airlines’ tickets on airasia.com. A point to note – there are no competitors’ flights offered on routes that are already operated by AirAsia. As for the work being facilitated by IATA in this space, it is being highlighted that without the interline feature, IATA’s XML-based data transmission standard, NDC, is incomplete.
According to IATA, the Shopping and Order Management schemas will enable airlines to send requests for offers and associated services to their interline partners, and manage the resulting booking and servicing, including for ancillary products. As highlighted during one of Ai’s conferences last year, there are critical financial changes that come along with the adoption of NDC. Be it for no use of filed fares to no pro-rates to the creation of e-tickets (only goes away with the ONE Order implementation), a lot of areas are being evaluated as airlines look to control the offer.
Questioning the status of NDC and interline aspect, a section of the industry suggests that the work behind virtual interlining products by certain players - dohop, kiwi, Air Black Box – could possibly be a starting point for implementing NDC interlining.
Beyond their own products, the industry is also pointing out that airlines can tap mobility as a service (MaaS) segment, offering an interconnected experience via their own digital assets covering all of the transportation requirements. Entities like Lufthansa Innovation Hub assert that there understanding of travel and mobility is no longer linear and transactional. It points to the fact that airlines are working around ways to look beyond the air product, plus they are looking at integrating their offering into any ecosystem or even a relatively new platform such as a superapp that they haven’t worked before.
Also, for a travel e-commerce company to be a complete retailer, an integral part is to present travellers with an array of travel products, offer choice, facilitate a frictionless transaction and support them all the way to consumption and fulfilment.
It is heartening to observe that the entire industry is attempting to improving upon on this sector’s underlying processes (every airline’s IT strategy is unique, thus they may decide to take relevant/ best of breed components from a range of suppliers), and also trying to make the most of datafication and IT trends to be a part of a digital economy. It would be worth following, how by using NDC as the distribution protocol, and creating the OneOrder standard, travel merchants would streamline the entire travel journey to make it frictionless and seamless. All of this is going to pave way for those players to be a part of travel retailing, too, mainly from the non-travel commerce arena, ones that don’t have any hint about Electronic Miscellaneous Documents! Let’s see how carriers collectively build on their much larger pool of APIs and third-party content providers to serve the travellers on any platform the traveller opts for.
Keen on exploring topics related to digital commerce? Ai has planned #AncillaryRevenue Conferences in Berlin, Bangkok and San Antonio in 2020:
4th December, 2019
Ai Editorial: Personalisation models in e-commerce are not only looking at aspects like predicting a visitor's likelihood of conversion, but machine learning deployed to match different offer variations to each visitor also adapt to changes in visitor behaviour, writes Ai's Ritesh Gupta
There is greater clarity on the journey personalisation today.
Be it for being adept with data (it has to be captured, pooled, processed and analyzed) or personalisation being an ongoing journey, an organization has to prepare and remain diligent.
For instance, in case of delivering targeted content to digital visitors, there is a need to create a personalisation rule (meeting conditions such as mapped behaviour, a certain score etc.), personalize the content (content based on the conditions in the personalisation rule), the layout etc. For all of this to work, the quality of data counts. As it turns out in case of personalized content, it is served on the basis of all the behavioural data about the visitor, plus machine learning deployed to match different offer variations to each visitor also adapt to changes in visitor behaviour.
The much-talked about individualized/ hyper-personalized offer is all about an individual offer based on one's preferences, activities and behaviour. In the ideal conditions, each individualized offer is unique, as shared by Comarch in a recent blog post. The objective of personalisation is to interact with a visitor in ways that optimize for a desired result featuring that individual, such as higher spend, continued loyalty, etc. It is about influencing a customer’s behaviour.
As for the progress being made in e-commerce, specialists already talk about automated personalisation. It not only looks at areas like predicting a visitor's likelihood of conversion, but the model also is trained to focus on a section of traffic to sustain learning throughout the life of the activity, and evaluate evolving preferences of the visitors.
There is provision for using offline data, propensity scores or other custom data to build personalisation models.
No magic bullet
It is fascinating to assess how machine learning helps in assessing the most effective content when targeting diverse visitors. It happens over a period of time as the algorithm learns to predict.
Algorithmic optimization isn’t an overnight phenomena; it entails a layered development of ever-increasing complexity. Plus, machine learning isn’t a magic bullet, capitalizing on its prowess demands diligence and a methodical approach. It one of the many building blocks that lays foundation for an astute loyalty initiative. In the initial stages, don’t target BMW of machine learning, recommends airline loyalty and big data expert, Mark Ross-Smith. Rather than thinking of AI, focus on simple things. For example, first target simple areas like identifying and addressing a traveller. “How to address someone in the right way at the right time,” he points out. A connection between a brand and its customers will build over time, deepening with each gratifying interaction.
Few key takeaways:
Keen on exploring topics related to stepping up the conversion rate? Ai has planned AncillaryRevenue Conferences in Berlin, Bangkok and San Antonio in 2020: