The aviation industry and logistical services are currently witnessing a similar disruption for the transformation of digitization in the past. At that time, many wondered about the need for digital transformation, and they insisted that their local systems were sufficient and that manual operations were sufficient.
For companies that aim to be industrial leaders – especially those who develop programs as a service (Saas) – this is a decisive moment of turmoil. This shift extends beyond business applications only; It affects the entire information technology scene inside a travel shipment and logistics. Although business applications may be the most obvious areas of transformation due to increased efficiency and improvement requirements, the effect reaches every part of the industry.
The true advantage of this transition is the new opportunities it creates – the capabilities that were not previously investigated. This is why it is very important for companies to assess the potential and strategic benefits of this change carefully. Those who get to know this transformation and embrace them will determine the pace of the future of flying and logistical services.
“It has become so really, as with any other big transformation. Adoption occurs when the capabilities are clearly understood and the value is clear. We see this in the set of our own tools as well,” said Salvatore Lombardo, chief product and technology official in CouPa.
“There are two main aspects of confidence. First, the end users need to believe that these new tools will actually help them in their daily work. Many still have doubts, and for this reason it is necessary not only to provide capabilities but also to explain their value – why they care and how they can improve efficiency.
“The second aspect is the confidence in making decisions that are driven by artificial intelligence. With artificial intelligence and advanced models, users often ask,” Where does this information come from? “If companies cannot trust that the recommendations and visions provided by these tools are reliable, the adoption will be slow.
“For this reason, when designing our products, we focus on transparency. For example, if our system recommends an improved transfer path based on multiple factors, we guarantee that users can see exactly how artificial intelligence has reached this conclusion. Even when withdrawing visions of external data groups, providing clear explanations build confidence.
“In the end, this is the key to the leadership of adopting artificial intelligence successfully – especially in the early stages of this technological transformation. If customers trust the capabilities, they will adopt the transformation.”
The real world application
There are many concrete examples in the real world that highlight the effect of a strong solution. In the aviation industry, COUPA solutions have gained a great adoption, currently serving 50 % of 500 Fortune airlines – a large level of coverage, as Lombardo refers to two main examples of how to improve operations.
“The first example includes a major airline in America. This flying was struggling with more than 20,000 contracts for an old seller spread through various systems. Managing these contracts manually-search through joint files to determine the situation-was an ineffective process and took a long time,” explained by Lombardo.
“When they implemented the COUPA life cycle management solution, all contracts were loaded and surveyed using AI-based on AI. This is greatly accelerating their ability to assess the terms of the contract, track the main sentences, and determine whether the contracts are still active. From there, they can communicate this information without linking the management events and the decisive step in improving these contracts.
“Another example I like to show it is Finnaiir, one of our prominent customers. By implementing the solution to the bills that work in COUPA, they reduced the time of the bill processing by 50 %. The AI’s scanning system has provided their previous manual flows, destroys the times, and is fully funded. Incredibly proud of this transformation, frankly, I am proud to share it.”
Replace roles to improve operations
It is clear that there are roles that will be replaced by machines. For example, tasks such as data matching and invoice approval are clear candidates. A 50 % decrease in processing time is a clear example – it is not only related to system efficiency; It comes to reducing manual work. Less manual work means that there is a need for fewer people for these tasks, which enables them to focus on more strategic aspects within the company.
It is not about increasing confidence and efficiency, but also about compatibility with the goal of building solutions for buyers and suppliers. The key here is autonomy – smart systems enough to perform these tasks without human intervention.
“Imagine in the future as suppliers’ buyers can negotiate directly with each other, based on the pre-determined restrictions, without the need for human resource specialists-at least for unprotected elements at first. By taking advantage of the negotiation that artificial intelligence moves, companies reduce the burden of manual work and accelerated purchasing courses. This is something that the company is working on, because it makes the process more efficient and confident in technology development, they can be confident that it will be implemented properly. “
In addition, there is a political dimension that must be taken into account, especially with the speed that companies need to respond to geopolitical situations. Take sources as an example. With the development of commercial policies and the development of identification landscapes, companies must adapt resource and purchases quickly. You will know the ability to reduce the script networks and the transformation of suppliers market leaders in this new economic climate. Given the current global events, many companies need to quickly control supply chains due to factors such as definitions.
For example, a great customer works in the world -class food industry in a similar way to airlines, which works from multiple sites. In such industries, the presence of automatic and independent sources of resources is very important. Without this, companies risk giving up their competitors. Although they may be able to fate, speed is necessary in today’s world.
He added: “The faster the company can adjust its sources of sources, and the higher its chances of success or growth. This flexibility and response provides a competitive advantage, and this is why it is important to adopt independent solutions in the environment of today.”
Precise prediction
For an airline company, one of the most obvious challenges is to understand and predict the request – how much will be a full plane on a specific road, do they have enough demand at a specific airport, etc.
Artificial intelligence can help treat this by enabling different systems or agents to communicate with each other. In this context, artificial intelligence agents play a major role. For example, the airline may use an AI -dependent demand tool to predict the number of passengers who are likely to book on a specific flight. However, knowing the request simply is not sufficient to close the episode effectively. It is also necessary to understand the reasons behind it.
“Imagine the delivery of the order generation tool to a resource engine like Coupa, which also uses artificial intelligence to improve resource sites,” Lombardo stated. “Through this connection, Amnesty International can automatically identify the appropriate suppliers, at the right price, and in the right location, ensure that the airline has the necessary elements in a timely manner. This is the place where the COPA value suggests – documenting and improving operations to reduce inefficiency.”
“In addition to predicting demand, there are also internal improvement opportunities within an airline, such as simplifying or dealing with bills (purchase). Self -powered solutions such as Coupa can help reduce costs in these areas, or improve efficiency. Areas.
“Whether it predicts demand, improves resources, or reduces waste, AI’s solutions like Coupa can help work more efficiently and effectively, which is very important in the competitive environment today.”
