Oh, this is why I love Mifnet. And why I post some of the things I do. I
want to learn. So, thank you, Hubert. Cheers -- Kathryn

On Fri, Sep 19, 2025 at 3:03 AM Hubert Horan via Mifnet <
mifnet@lists.mifnet.com> wrote:

> Ronell and Creedy had mentioned the recent white paper on the
> Delta/Fletcherr “AI pricing” approach. It was authored by Courtney Miller
> of a consultancy called Visual Approach Analytics.
> https://app.visualapproach.io/research/pricing-at-the-speed-of-data-the-new-airline-ai-arms-race
>
> TL;DR—it is a useless load of hot air
>
> 1. Delta’s 2024 passenger revenue was $52 billion. Miller absurdly claims
> that the Delta/Fletcherr “AI pricing” approach could increase revenue by
> 10% (“and could be higher than 10%”). Such $5+ billion gains would
> obviously dwarf every financial improvement in the history of aviation.
> Miller provides no concrete evidence/examples of how this “AI pricing”
> approach could possibly produce improvements anywhere close to this
> magnitude.
>
> 2. Miller describes the Delta/Fletcherr “AI pricing” approach as “a
> revolution in ticket pricing” but never defines (much less explains) any
> algorithmic breakthrough versus traditional airline revenue management.
> Miller claims that Fletcherr “offers an impressively detailed look into
> their methodology” at their website and is astounded that only 400 people
> downloaded that information. I was one of those 400 people, and as I
> pointed out back in July those documents presented nothing close to a
> coherent methodology and seemed largely based on vague notions that
> airlines were “outdated” and “undisrupted” and had seen few recent
> technological advances and that hedge fund practices would readily apply to
> airlines and help lead them out of the darkness.
>
> 3. Miller never explains what specific pricing/yield management decisions
> the Delta/Fletcherr “AI pricing” approach is designed to support, what
> decisions are currently made badly, and how the new approach would make
> better ones. Is it strictly supporting short-term YM (at what point should
> discount buckets be shut off; what response should be made to competitor
> price changes) or is it supporting longer term competitive/capacity
> planning decisions (improving market share on key routes/hubs; would
> capacity/schedule changes be more profitable than pricing changes)? He
> completely ignores the problem that “AI” tools don’t make decisions and
> can’t support decisions that aren’t following patterns thoroughly
> documented in the training data.
>
> 4. After initially pounding the pricing revolution drum, Miller begins to
> backtrack. Perhaps longstanding RM practices aren’t all that bad, and he
> acknowledges several past failed efforts to demonstrate structural
> shortcomings. Nonetheless he insists the Delta/Fletcherr “AI pricing”
> approach will improve “implementation” and would support faster decision
> making by “coalesce[ing] all an airline’s data into one data warehouse.”
> Miller presents no evidence that Delta or other airlines have poor data
> warehousing practices today and makes no attempt to explain the poor
> “implementation” that badly suboptimizes revenue. He can’t cite any input
> data that airlines haven’t been using for decades. Surely any airline RM
> system can be improved but Miller’s claim that “Fletcherr and Delta have
> begun to automate pricing” suggests profound ignorance of current levels of
> automation.
>
> 5. The major issue, raised by my original posts and numerous outside
> articles, is whether the Delta/Fletcherr “AI pricing” approach is just
> trying to marginally improve traditional RM, or whether it’s part of a
> larger effort to introduce first-degree price discrimination in the hope of
> charging higher fares to people who may be willing to pay more than others.
> Miller makes insincere efforts to discredit critics of extreme personalized
> pricing, claiming without citations that they said Delta was planning to
> collect information about personal checking accounts. Miller
> parenthetically admits that the Delta approach might use personal
> information including historical spend and IP addresses while evading the
> questions of whether first-degree price discrimination is a Delta/Fletcherr
> objective, or whether gains from this are included in the 10% revenue
> improvement he claims is possible.
>
> Miller’s paper provides absolutely no value to any objective outsider
> trying to figure out what algorithmic/RM process improvements Delta is
> hoping to achieve, or whether generative tools could significantly improve
> RM. As to the more important “are airlines really trying to move to
> first-degree price discrimination” question I would refer to Senator
> Gallego’s comments after Delta’s Glenn Hauenstein testified about their
> plans—either Delta is lying to its investors (about the huge potential
> returns from the Fletcherr AI project) or they are lying to us (when they
> insist they have no intention to impose personalized pricing).
>
>
>
> --------------------------------------------------------------------------
> Revised: 20250507
>
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-- 



Kathryn Creedy
PHONE # 321 405 4395
US-Eastern Time Zone
*Twitter*: @kcreedy
*Visit me on LinkedIn*
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Revised: 20250507

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