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Time of India
4 days ago
- Business
- Time of India
Delta Airlines' shocking AI upgrade: It could soon set ticket prices based on what you can afford
What Is Delta's AI Pricing System? Who Built It? Live Events What Makes This AI Different From Normal Fare Algorithms? Is the AI Working For Delta? What's an 'Offer Management' System? FAQs (You can now subscribe to our (You can now subscribe to our Economic Times WhatsApp channel If you've ever paid more than your friend for the exact same Delta flight, the reason might be something much smarter and high-tech than just happening by chance because the culprit is artificial intelligence, as per a Air Lines is in the process of using a powerful AI-driven pricing system that could make airfare more personalized than ever before, as per an Investopedia the company's 2024 Investor Day and the second-quarter 2025 earnings call, Delta President Glen Hauenstein revealed that Delta Air Lines is currently using an AI pricing tool on 3% of domestic flights and now plans to expand it to 20% by the end of the year, according to the READ: AeroVironment and Kratos share prices surge over 10% after Pentagon's surprise drone buying spree The AI technology, which is developed by Israeli tech company Fetcherr, is designed to predict exactly how much a customer is willing to pay and set ticket prices accordingly, as reported by described the new AI tool as a 'super analyst' that never stops working, according to the report. It doesn't just look at supply, demand, or travel dates, instead, it analyses data to predict each individual customer's maximum acceptable price, as per the report.'The more cases we give it, the more it learns,' Hauenstein said during Thursday's earnings call, reported Investopedia. While still in a heavy testing phase, the AI is already shaping pricing decisions and will become a central part of Delta's future strategy, as he even said at the company's Investor Day in November that it is ushering in 'a full reengineering of how we price,' as quoted by READ: Want to moonlight and double your income? Head to this Chinese province offering incentives to side hustlers As per a transcript made available by AlphaSense, Hauenstein said in November that 'The initial results show amazingly favorable unit revenues,' reported Investopedia. While Fletcherr had said at a 2022 conference that its product had been shown to boost revenue 9%, Investopedia reported, citing the travel site One Mile at a expects that Fetcherr will set prices and determine how many seats are available at those prices, which eventually will create what Hauenstein called an 'offer management' system, reported said in November that, 'We will have a price that's available on that flight, on that time to you, the individual–not a machine that's doing an accept-reject, and a static price grid,' as quoted in the READ: NIO stock surges over 4% after Morgan Stanley says Buy following new SUV Onvo L90 launch To maximize revenue by offering each customer the highest price they're likely to accept, based on personal data and behavior especially if the AI predicts that one traveler is willing to pay more than the other, as per the report.
Yahoo
5 days ago
- Business
- Yahoo
AI May Determine the Price of Your Next Delta Ticket
Delta is using AI to set prices for 3% of domestic flights and plans to ramp this up to 20% by the end of the year, President Glen Hauenstein said Thursday. The tool, from the company Fetcherr, is designed to identify the maximum an individual would pay for a ticket. Fetcherr is helping Delta do a "full reeingineering" of how it prices, Hauenstein said at the company's Investor Day in to snag the cheap Delta ticket everyone else on your trip got? AI might be to blame. Delta Air Lines (DAL) uses an AI pricing tool on 3% of domestic flights and aims to apply it to 20% by the end of the year, President Glen Hauenstein said on an earnings conference call Thursday. Delta is incrementally deploying technology designed to identify the maximum a traveler will pay because 'the more cases we give it, the more it learns,' Hauenstein said. Though technically in a 'heavy testing' phase, the AI tool—from the Israeli company Fetcherr—figures into Delta's plans. Fetcherr functions like a constantly-on 'super analyst' and is ushering in 'a full reengineering of how we price,' Hauenstein said at the company's Investor Day in November. 'The initial results show amazingly favorable unit revenues,' Hauenstein said in November, according to a transcript made available by AlphaSense. (Fletcherr said at a 2022 conference that its product had been shown to boost revenue 9%, as reported by travel site One Mile at a Time.) Delta wants Fetcherr to set prices and how many seats are available at those prices—eventually creating what Hauenstein called an 'offer management' system. 'We will have a price that's available on that flight, on that time to you, the individual–not a machine that's doing an accept-reject, and a static price grid,' Hauenstein said in November. After soaring on better-than-expected results Thursday, Delta shares were recently off by about 2% and have fallen 8% so far this year. Read the original article on Investopedia Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
16-05-2025
- Business
- Forbes
How To Tell If Your AI Strategy Is Real Or Just Another PR Hype
In 2025, saying you use AI won't be enough. This is how smart companies — and investors — spot the ... More difference between substance and showmanship. At the height of the dot-com boom, tech companies were adding '.com' to their names just to inflate valuations. Now, it's 'AI.' In almost every pitch deck and press release these days, AI shows up somewhere, somehow. But the reality of many AI products today is much closer to hype than to real value. Oftentimes, many CEOs promise disruption and transformation but end up outsourcing the hard work to third-party APIs or, worse, deliver dashboards that do nothing. Many so-called AI strategies are, in truth, marketing and PR strategies oiled up by the machinery of hype. And according to Dr. Uri Yerushalmi, Chief AI Officer and Cofounder of Fetcherr, this confusion is reaching a breaking point. 'The term 'AI' has been diluted,' he told me in an interview. 'Any app using a language model now tends to label itself as an AI product. There's a clear distinction between companies that simply use AI tools and those that are actually developing proprietary AI technologies.' And in 2025, as budgets tighten and investors demand more than hype, that distinction could define who survives. The AI renaissance has seen companies scramble to integrate ChatGPT, Claude, Gemini and other large language models into their offerings. But calling that 'AI transformation' is like painting a racing stripe on a used car and calling it a Ferrari. Yerushalmi points to a systemic mislabeling problem: 'Companies and consumers alike confuse AI with language models. But LLMs are just one aspect of the broader AI landscape.' Indeed, the 2023 Garter Hype Cycle for Generative AI predicted that '80% of enterprises would use GenAI APIs by 2026,' but using an API is not the same as building an intelligent system. When companies stretch their AI claims beyond reality, the fallout goes beyond embarrassment. 'One of the biggest risks,' said Yerushalmi, 'is that companies may begin to over-rely on AI, lowering safeguards and making decisions without adequate human oversight.' It also damages trust — among employees, investors and the public. One example that made global headlines was Air Canada's AI agent, which incorrectly told a customer about a bereavement discount. A judge later ruled that the airline was responsible for its AI's misstatement — and Air Canada had to honor the false discount. That ruling set a powerful precedent: companies are liable for what their AI says. 'When AI is integrated gradually and in a controlled manner,' Yerushalmi added, 'it becomes a powerful decision-making tool. But overpromising can undermine everything.' Not every AI-backed product deserves the label. 'If a product uses AI in a trivial or superficial way, it's likely just hype,' Yerushalmi explained. 'True innovation lies in companies building proprietary, revolutionary AI that fundamentally reshapes operational processes in entire industries.' At Fetcherr, that innovation takes the form of a real-world system that merges the traditionally siloed pricing and revenue management functions within the airline sector. It's one good example of how AI can truly re-architect workflows, beyond just automating tasks. For investors, identifying that sort of distinction is essential. Substance looks like performance metrics, live use cases and product evolution — not just a flashy AI demo or GPT plugin. Overhyped AI products can have several consequences for both individuals and businesses alike. As a business, you don't just risk technical failure; you also risk damage to brand reputation. According to a 2023 survey by Cisco, 60% of consumers worry about how AI uses their data and 65% say they've lost trust in organizations over misuse of AI. In another more recent survey by Research Information, nearly every respondent was 'concerned that AI will be used for misinformation and could cause critical errors or mishaps.' These stats show that there's a growing credibility crisis for AI and organizations, more than ever before, must build and deploy AI tools in ways that preserve trust and bolster their credibility, not erode it. 'The main damage lies in the loss of trust,' Yerushalmi reiterated. And when AI is deployed at scale, across customer interactions and regulated workflows, that loss of trust can be catastrophic. So how can enterprises cut through the noise? For Yerushalmi, the answer lies in A/B testing. 'In business, the ultimate goal is to boost profitability and efficiency,' he said, 'and the best way to verify AI performance is with scientific tools like A/B testing.' AI's influence grows, measurable standards are critical to building effective AI models and deploying them safely and successfully. Initiatives like MLCommons and Stanford's HELM benchmark — which have both received high praise from several experts in the industry — aim to provide transparency into model performance, bias and safety. For enterprise teams, that kind of rigor can separate real solutions from speculative ones. While Yerushalmi agreed that we're indeed in the middle of an AI revolution, he believes that 'soon, models like Fetcherr's LMM will power how businesses actually operate.' That's a shift he said chatbots won't lead but by decision engines that efficiently optimize operations, pricing, logistics and strategy. While it's left to be seen what the future truly portends, there's an industry consensus that the true potential of AI isn't in headline-grabbing demos or even multi-billion-dollar investments, even though those are great, but in embedded intelligence transforming the core of industries.
