WEBVTT

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A new device can add more features.

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A useful AI tool can remove
one difficult decision.

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This week, I want to look at both
and ask what actually helps the customer.

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I’m Mike, and this is Beauty Tech Weekly.
We have new home devices from Therabody,

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AI makeup guidance from Arbelle,
a practical update to virtual

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glasses try-on, and a new
hair-care device from Rajani MD.

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Four stories, and what I think
they mean for beauty businesses.

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Therabody is opening this week with two
new devices, announced on October

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twentieth: ThermFace Massage, for the face
and jaw, and ThermNeck and Upper Back.

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Both are positioned around targeted
home use. That makes this a useful

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beauty-and-wellness story, even though
the launch is about more than skincare.

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According to Therabody, ThermFace combines
percussion and heat, while the wearable

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neck device combines several approaches,
including massage, heat and light.

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Those are product descriptions from the
company. I have not tested these devices,

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so this is a look at the launch
and its implications, not a review.

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What interests me is the increasingly
specific question behind the product.

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A customer is not necessarily shopping
for an impressive piece of technology.

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They might be asking what fits
into a short evening routine,

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or what they can realistically keep
using between professional appointments.

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For a salon, I would use that question to
improve the conversation around home care.

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Which parts of the experience can
a client manage independently?

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Where do they still need professional
judgement? And are we explaining

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that distinction clearly enough
before they leave the appointment?

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I would not respond by saying that
a gadget replaces a professional service.

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I would also avoid dismissing it simply
because it is designed for home use.

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Both reactions skip the useful
work: understanding the client’s

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goal and being precise about what
each option is intended to do.

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A practical starting point is a short,
service-specific home-care guide.

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Explain the routine, the boundaries of the
advice, and when the client should speak

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to a qualified professional. Keep device
claims tied to their sources. Do not

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turn a manufacturer’s product description
into your own promise of results.

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My takeaway is that more equipment in
the home makes the quality of explanation

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worth paying attention to. The opportunity
for a beauty business is to make its

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expertise easier to understand. And that
brings us to a different kind of guidance:

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software that helps
people choose what to buy.

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Arbelle’s October twenty-second
announcement puts Look Finder

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in the spotlight. It is a recommendation
tool for cosmetics brands: facial analysis

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and a brand’s own catalogue are used
to suggest coordinated makeup products.

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The useful distinction is that it
starts with a look, rather than

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leaving the shopper to assemble every
item alone. On its product page,

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Arbelle describes a journey from
a face scan to recommendations,

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then to trying supported products
virtually and buying them. The company

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also says brands can shape the product
selection. These are the advertised

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capabilities; we have not independently
measured the effect on sales.

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I see a useful shift in the question being
answered. A conventional catalogue says,

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here are the products. A guided
experience tries to answer, which of these

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belong together for me? For the customer,
that could make the next step clearer.

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For the business, the quality of that
guidance becomes something to evaluate.

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The commercial incentives still matter.
If a brand chooses which products

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the system can recommend, the answer
is drawn from that selection.

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I would want the experience to make
that clear. A helpful recommendation

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should not quietly pretend to be a
comparison of every product on the market.

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This is close to the way I
think about AI Beauty Bot.

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Our service can already communicate with
your clients. What I find useful in this

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example is the different angle: helping
someone choose a coordinated look.

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I am not suggesting that our product has
this same visual recommendation feature.

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For a salon or beauty brand, I would
start with the questions customers

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repeatedly ask before they decide. Which
questions need a clear factual answer?

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Which require a specialist? Which
could benefit from a visual example?

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That gives you a better brief for an AI
tool than asking for a chatbot

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simply because everyone else has
one. Then measure whether people

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actually get the help they came
for. Look at completed decisions,

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unresolved questions and the quality
of handover to a person. A more elaborate

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interface is not automatically a better
experience. My test would be simple:

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did we make the choice clearer, without
overstating what the system knows?

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Perfect Corp.’s October
twentieth release describes

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a generative AI update
to virtual eyewear try-on.

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There is an important timing detail:
the company had already described

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Glasses Removal in September. So
the news this week is the company’s

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announcement about the update, not
the first-ever appearance of the idea.

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The problem is immediately understandable.
If you need prescription glasses

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to see your screen, taking them off
for a virtual try-on is awkward.

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Keep them on, and a second virtual frame
may appear over the pair you are already

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wearing. The interface can get in the way
of the very person it is supposed to help.

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Perfect’s demonstration shows the original
glasses being removed from the image,

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followed by different virtual frames. The
company says generative AI reconstructs

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the area hidden by the original pair.
This is the brand’s demonstration, not our

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own test of how reliably it works across
different faces and lighting conditions.

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That distinction is worth keeping.
A convincing visual demonstration tells us

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what the product is trying to do. It
does not, on its own, tell us how well

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it performs for every customer. I would
still want to try difficult cases,

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including reflections, unusual frames
and less-than-perfect lighting.

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But as a product-design
idea, I like the specificity.

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This is not an abstract
promise to transform shopping.

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It addresses a small obstacle that
can interrupt an ordinary task.

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You do not need to run an eyewear
business to recognise the value of looking

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for those obstacles in your own
customer journey. For a beauty business,

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I would watch someone use the booking
or product-selection experience without

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explaining it to them. Where do they
hesitate? What do they misunderstand?

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What information do they have to go
and find somewhere else? Write down

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the actual moments of friction before
choosing the technology to address them.

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The broader lesson is that useful AI
can be almost invisible. If it lets

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the customer continue naturally, it has
done something valuable. I would judge

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this kind of feature by successful task
completion and fewer confusing moments,

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rather than by how prominently
the letters A and I appear on the screen.

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Our final story is another home device,
but with a different question attached.

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On October twenty-second, Rajani MD
announced the PlasmaGLO Hair Plus Cap,

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a cordless device combining laser
and LED technology for at-home hair care.

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The announcement gives us a product
to examine, not a result we can promise.

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The company describes a rechargeable
format with automated twelve-minute

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sessions. It also promotes the number
and types of light sources.

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Those details help describe
the hardware. They do not, by themselves,

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establish how well this particular
device will work for a particular person.

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That is the part of the story I want
beauty professionals to take seriously.

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A specification can sound precise and
still leave the most important question

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unanswered. More lights, more modes
or a more expensive design are not

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substitutes for evidence about
the outcome being discussed. When a client

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brings in a device announcement, I
would separate three conversations.

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First, what is the product designed to do?

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Second, what evidence is available
for that exact product and use?

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Third, is this something the client
should discuss with an appropriately

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qualified clinician rather than treating
it as a routine beauty purchase?

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That does not mean being
dismissive of every new launch.

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It means being able to explain what is
known, what is being claimed, and what has

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not been established in the material you
have seen. I would rather give a client

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a precise, limited answer than a confident
recommendation built on a press release.

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For this episode, we are reporting
the announcement. We are not presenting

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an independent clinical assessment,
recommending a treatment schedule,

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or promising hair regrowth. The useful
business lesson is how to handle that

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distinction when a client asks about
a new device after seeing it online.

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My practical suggestion is to keep
a simple evidence note for any device you

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discuss professionally: the exact model,
the source of the claim, and the questions

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still open. That makes it easier to update
your advice when better information

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appears, instead of repeating the most
memorable line from the launch campaign.

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Across these stories, my question
is the same: are we helping people

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understand their options, or simply
giving them more things to process?

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Pick one point of confusion in your
own customer journey this week

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and work on that. You have been
watching Beauty Tech Weekly. The sources

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and further reading are in the episode
notes. I’m Mike. See you next week.
