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A client sees a skin score on their phone, brings a hairstyle
reference to a salon, or opens a message after an appointment.

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Beauty technology is starting to shape all three moments.

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This week, four stories about what happens between the first
impression and the next useful step.

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I'm Mike, and this is Beauty Tech Weekly.

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We have richer messages from Peter Thomas Roth, research that

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reconstructs hair in three dimensions, skin analysis inside Qoo10,
and a machine that makes personalised cosmetics.

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My question throughout: what does each of these actually help a
client or a beauty business do?

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First, the message after the visit.

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On November tenth, Peter Thomas Roth and Listrak shared results from
their use of RCS messaging.

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Think of a branded message with product images and buttons inside the
phone's messaging app.

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The news is this retailer's reported experience, rather than the
invention of a new messaging channel.

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Listrak reports an average forty percent higher conversion rate in
fifty-fifty tests against SMS.

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That is a relative uplift, not forty percentage points.

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The release does not provide the absolute
conversion rates or sample sizes.

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It is an interesting vendor-reported result, but it is not a forecast
for a salon's own campaigns.

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For me, the useful question is what the richer message makes easier.

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A customer should be able to understand the offer and choose a next
step without working through a wall of text.

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A beautiful card still needs a reason to arrive.

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A reminder, a relevant answer and a generic
promotion are different experiences.

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In a salon, the question often comes after the visit.

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A client opens a product at home and remembers
something they forgot to ask.

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At AI Beauty Bot, we help salons stay in touch with
clients in those moments.

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That is the connection I care about here: making it easier to
continue the conversation between appointments.

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If I were evaluating this for a business, I would start with one
specific customer moment and one useful action.

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Then I would compare it with the current message, using the same
audience and offer.

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I would also look at opt-outs and replies.

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More purchases alone would not tell me whether the
communication was welcome.

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Next, a different kind of communication problem: showing someone the
haircut you have in mind.

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SAFE-Hair is a research project whose paper was
submitted on November ninth.

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It reconstructs editable three-dimensional hair
strands from a single portrait.

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The authors show the input image alongside reconstructed views from
the front, side and back.

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There is an important distinction in those images.

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The camera only captured one view.

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Parts of the hairstyle that were hidden have to be inferred.

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A convincing view of the back does not mean the
system observed the back.

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The result is a reconstruction, rather than a complete measurement of
that person's hair.

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The work is aimed at editable digital hair and graphics workflows.

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The public repository lists code and model releases as future work.

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So I would treat this as a research demonstration, not a salon tool
you can install today.

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It also does not establish whether a real client's hair can achieve
the pictured style.

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What interests me is a possible use in consultation.

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A single reference photo leaves plenty to discuss: the silhouette

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from the side, the length at the back, and which
details the client actually likes.

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A three-dimensional reference could make that conversation more
specific, provided everybody understands which parts were inferred.

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I would want the interface to keep the original photo visible and
clearly mark the reconstructed views.

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Then the professional can ask better questions and explain what is
realistic for this client.

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The value would be a clearer shared expectation.

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A polished simulation, on its own, would not be a promise of the
finished haircut.

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Our third story moves the consultation into a shopping app.

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On November ninth, Perfect Corp announced that its skin-analysis
technology was available on Qoo10 Japan.

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Shoppers use a phone camera and receive a report
linked to product recommendations.

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The same announcement covers colour-contact-lens try-on, which has
already been available since August.

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The system checks the capture conditions and
reports on ten skin concerns.

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Those scores are presented in a shopping context.

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I would be careful about treating a score as a diagnosis, or a

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repeatable measurement as proof that a product recommendation is
right for a particular person.

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Those are separate questions.

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For salons, I think the interesting scenario is a client arriving
with a screenshot.

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They may already have a score, a product shortlist and a strong
impression of what their skin needs.

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That gives the professional a starting point: what was photographed,

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under what conditions, and what does the client
actually want to change?

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There is also a relevant piece of context.

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On November twelfth, Qoo10 published a notice about a security
incident and personal-information leakage.

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That notice's existence does not establish a connection with this
skin-analysis feature.

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I am keeping those facts separate.

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It does make data handling a sensible question to ask of any
photo-based service.

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Before introducing a similar experience, I would want clear answers

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about what images are retained, who can access them, and how a
customer can have them deleted.

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I would also want to understand how recommendations are selected.

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A useful consultation should help a person understand the result,
including what the system cannot tell them.

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Finally, from a recommendation to a physical product.

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Lillycover's ENIMA Light won the Home and Professional Devices and
Tools category at the Cosmoprof Asia Awards this week.

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This is an award story about an existing system, rather than a claim
that the machine launched for the first time this week.

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The award description connects measurements from Lillycover's Muilli
device with SkinDia software and the ENIMA Light manufacturing system.

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The idea is to turn a customer's skin information into a personalised
formula, then make the skincare product on site.

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The company describes production in around four minutes, and profiles
can be saved for reordering.

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That production time is only one part of the appointment.

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For a salon, I would also count the consultation, preparation,
cleaning and handover.

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The useful number is the time and cost of
delivering the whole service.

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I would want to see that workflow with real staff before building a
service menu around it.

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My next questions would be practical.

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What do refills cost?

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How are ingredients stored and tracked?

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What training does the team need?

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What happens if the machine is unavailable when a client returns?

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An award makes this worth investigating.

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It does not answer the operating questions for an individual business.

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The part I find most interesting is continuity.

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If a customer likes the product, can the business explain what was
made and manage the next order reliably?

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Personalisation should be understandable to the
client and manageable for the team.

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The experience after the first bottle matters as much as the moment
it comes out of the machine.

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Across these four stories, I see the same practical test.

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Does the technology make the next conversation clearer?

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Richer messages can offer a useful next step.

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Hair reconstruction can give people more to discuss.

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A skin report can open questions.

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On-site production can create a continuing service.

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Each still needs an honest explanation of its limits.

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Which of these would be most useful in your business: better

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follow-up, a clearer hairstyle reference, help interpreting a skin
report, or personalised products on site?

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Let me know.

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I'm Mike, and this was Beauty Tech Weekly.

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See you next week.
