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Your next makeup counter could be a conversation in ChatGPT.

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A manicure company is buying another robotics business.

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And beauty technology is moving into both haircare formulas and the
answers people get from AI.

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Here is what I think matters this week.

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

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This week: Maybelline brings virtual makeup try-on to ChatGPT;

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10Beauty acquires Nimble; Jennifer Lawrence and Arcaea launch mes;
and Coty partners with Brandlight on AI discovery.

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Four stories about how beauty gets discovered, delivered, and chosen.

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Maybelline is bringing makeup advice and virtual try-on into ChatGPT.

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On October twenty-ninth, the brand announced consumer availability of
an experience powered by ModiFace.

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It brings together product recommendations, virtual try-on using a
camera or photo, and help finding a retailer.

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There was an earlier pilot, so this week’s news is the move toward
consumer access, rather than the first demonstration of the idea.

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A person can start with a question about a look they want.

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Recommendations help them explore options from the brand’s range in
that conversation.

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Virtual try-on adds a visual step before they decide what to do next.

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These official images illustrate that sequence.

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They are brand-provided examples, rather than a
session I recorded myself.

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I would still keep two limits in mind.

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This is a beauty brand’s experience, built around its products.

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And a digital preview cannot guarantee how a shade
will look in your actual lighting.

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The announcement also does not establish a sales uplift or
availability in every country.

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For a salon, the useful question is much smaller and more practical:
what happens after someone asks for advice?

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If they explain what they want in one conversation, then have to

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repeat everything to find a service or contact your team, that is a
point worth fixing.

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Start by walking through one real enquiry from question to next step.

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A quick update from us: AI Beauty Bot now has a plugin in ChatGPT too.

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Search for BeautyOS.

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It helps automatically configure the replies of your AI receptionist,

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whether you run a beauty salon or work as an
independent beauty professional.

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A free beauty-specialized CRM is included.

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That gives you a practical place to start with your own business,
using a conversational interface.

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I see a useful connection between these developments: the

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conversation is becoming a place where people
actually get something done.

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For a consumer, that might mean exploring makeup.

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For a salon owner, it can mean setting up how the
business answers clients.

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I would judge both by how clearly they help someone
reach the next useful step.

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Next, a different kind of automation.

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On October twenty-ninth, 10Beauty announced its acquisition of Nimble.

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That brings together two businesses working on automated manicures.

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It follows 10Beauty’s earlier acquisition of Clockwork, so there is a
consolidation story here as well as a product story.

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Keep the machines separate when you look at the footage.

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The clips of applying and removing polish come from 10Beauty’s own
product demonstrations.

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The image of Nimble shows the acquired company’s home device.

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The acquisition connects the businesses; it does not mean that every
machine has suddenly become the same product.

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The company reports retail deployments and commitments for roughly
eight hundred and fifty machines.

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Commitments are not the same as eight hundred and fifty installed
machines serving customers today.

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And the announcement does not give us enough information to calculate
profitability or the acquisition price.

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Those are important limits when a robotics story starts sounding like
a finished business case.

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My interest is in the service around the machine.

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Who prepares the client?

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Who handles an exception?

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How are supplies replenished, and what happens when
the system is unavailable?

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A demonstration can show one task working.

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A salon needs the whole appointment to work reliably, including
everything immediately before and after that task.

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Before considering equipment like this, I would put one service on a

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simple worksheet: staff time, consumables, actual appointments
completed, downtime, and responsibility for the result.

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Use your own observed numbers.

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A device that saves time on one step can still create work elsewhere,
while a modest improvement on a frequent task can be valuable.

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So I would watch this acquisition as a test of operational scale.

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Combining technology is one milestone.

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Making installation, support, and everyday service
dependable is the next.

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That is the part I want to understand before drawing conclusions
about what robotics will mean for a particular salon.

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Our third story moves from machines to formulas.

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On October twenty-seventh, Jennifer Lawrence and Arcaea launched the
first mes collection.

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The opening range has three products: a repair mask, a restyling
serum, and a volume mist.

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The brand describes the approach as biodesigned haircare.

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The collaboration had been introduced earlier; the product launch is
this week’s development.

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The repair mask addresses conditioning and repair, a different job
from refreshing a style.

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The restyling serum is intended for that between-wash styling task.

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The volume mist is designed for adding volume.

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Arcaea brings a biotechnology perspective to their development.

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The brand’s explanations discuss hair lipids, the scalp environment,
and how hair behaves between washes.

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Those explanations describe the product approach; they do not, by
themselves, prove a better result for every person.

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For me, this is a useful reminder that beauty technology includes
what goes into the bottle.

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A new formula can be as relevant to a client’s routine as a new app.

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But I would separate three things when evaluating it: the method used

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to develop the product, the problem it is designed to address, and
the evidence for the result.

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A scientific term is a starting point for questions.

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What was tested?

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Against what comparison?

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On which hair types, over what period, and under which conditions?

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The brand publishes performance claims, but those claims have
specific testing contexts.

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I would not turn them into a promise that everyone
will get the same improvement.

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The practical application for a professional is in the recommendation.

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Start with what the client finds difficult between appointments, then
explain why a particular type of product might help.

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Someone trying to refresh yesterday’s styling has a different need
from someone looking for a conditioning treatment.

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That distinction is more useful than adding another
impressive word to the shelf.

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I would follow whether mes can make that
explanation convincing in everyday use.

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Celebrity attention can introduce a product.

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Clear use cases and credible evidence are what make the technology
story worth returning to.

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Finally, Coty and Brandlight announced a partnership on October

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twenty-seventh to strengthen the visibility of Coty’s brands in
AI-powered search and discovery.

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The work includes measurement, insights, training,
and content optimisation.

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You may hear this described as generative engine optimisation, or

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GEO: working on how a business and its products are represented in
AI-generated answers.

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Coty says early pilot work indicates that improving product pages and
other brand content can strengthen visibility in AI recommendations.

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The announcement does not provide a numerical sales result.

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And the Brandlight interface images we are showing
illustrate its product.

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They are not a dashboard of Coty’s performance, so the example
figures should not be read as results from this partnership.

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The interesting shift is the starting point.

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A person may ask for help with a need before mentioning any brand.

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If the answer introduces a business, that business has become part of
discovery earlier in the decision.

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That makes the quality of the information available about it worth
paying attention to.

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For a salon or an independent professional, I would start with the

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facts a potential client needs: which services you provide, where you

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work, who they are suitable for, how pricing is
explained, and how to get in touch.

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Make those facts clear on your own pages, and keep them consistent
when something changes.

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Useful answers need useful source material.

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Then test a few questions that resemble how your
clients actually ask for help.

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Record what appears, what is missing, and whether
the information is correct.

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Treat that as an observation to investigate.

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One answer is not a reliable ranking, and no content change
guarantees a recommendation from ChatGPT or any other assistant.

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I would measure visibility separately from business outcomes.

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Being mentioned, receiving a relevant enquiry, and getting a booking
are different events.

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The partnership is a sign that large beauty companies are taking this
channel seriously.

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Smaller businesses can begin with accurate information and a clear
way for an interested person to take the next step.

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Those are this week’s four stories.

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My takeaway is to test one useful change at a time: a clearer

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customer journey, a better understood service cost, a more specific

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product recommendation, or more accurate
information about your business.

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I’m Mike.

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This has been Beauty Tech Weekly.

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See you next week.

