See yourself in RSF — and never leave a customer unanswered.
Two builds. One reinvents how a shopper tries on a frame — from the camera to a moving picture of themselves in their own world. The other gets the routine done on your one customer-service desk.
2 use casesShopify-native · inside your platformcamera → look → motionbrainstorm · 21 Sep 2026
Indicative numbers — two unknowns priced as placeholders.
The core advantage
A blank canvas — the right infrastructure from day one.
Where RSF starts
no legacy stackone deska shop window to reinvent
An AI-native RSF
built on the right rails
AI Immersive Try-On → sales ↑
E2E AI Customer Service → costs ↓
=more sales · lower costs
We built inside big companies — and know how slow they can be
HKSAR GovernmentHere we can be FAST
No committees, no legacy: decide in a call, ship in weeks.
The goal of this engagement
Make the shop window disruptive again — and take the routine off the one desk that answers everyone.
Use Case 01 · sales+Use Case 02 · operations=more sales, lower costs
One goal, two builds: sell more from the shop window, spend less answering the routine.
What we heard from Filippo
A new shop window. One desk answers everyone.
Use Case 01 · AI Immersive Try-On
Not an overlay — a render of you.
Fit, colour, scene, motion — from the packshots.
Use Case 02 · E2E AI Customer Service
From three people to one desk.
Opticians, distributors, shoppers still write there, every day.
« Sarebbe fighissimo avere un virtual try on un po' diverso… come quando vai a comprare una casa e ti fanno il render. »
“A try-on that’s different — like a house render.”
Filippo · our call · September 2026
« Prima di assumere un altro customer service, si può fare il piano di implementazione di un assistant AI. »
“Plan an AI assistant before hiring again.”
Filippo · the same call
This is my understanding — correct me where I’m wrong.
At a glance · what each build delivers
Two use cases. Two problems. One platform.
Use Case 01
AI Immersive Try-On
Camera, fit check, then yourself — every colourway, your outfit, your place, moving. Save, share, buy.
< 60 s
camera → moving look
3,900
frames, from your packshots
Removes “find a stockist” on 70% of variants
Use Case 02
E2E AI Customer Service
One assistant, three audiences, in your platform: routine resolved; your colleague approves only refunds, claims, documents.
70%
resolved without a person
3
audiences, one desk
Removes the wall of email before one person
Target outcomes · instrumented from day one · real numbers, not a guess
Use Case 01 · AI Immersive Try-On
01
From a webcam overlay to a picture of you.
Today
the usual overlaypackshot on whitefind a stockist
with the try-on
Seven steps
camerafitcolourbackgroundoutfitplacemotion
Overlays show fit, not feeling; 70% of your variants end in “find a stockist”.
The shop window today · and where it goes
The frame sits on white — it belongs on you.
Today — the frame on white
fit is a guess
colour is a gamble
70% → “find a stockist”
The shopper sees the object, not themselves.
With the try-on
camera
colour
background
outfit
LIVE · 5 s
motion
The shopper sees themselves, in their world — and a clip to share.
How it works · step through it
Seven steps, under a minute.
01
Open the camera
02
Check the fit
‹swipe›
03
Pick the colour
04
Change the background
05
Change the outfit
06
Choose the place
07
Bring it to life — save, share, buy
Step 1 / 7
Open the camera
One tap on the product page. The front camera opens in the browser — no app, no account, nothing stored until the shopper says so.
See it working · the tour runs itself, or click a step
The camera opens. Then you appear.
01 · Camera
lens 47bridge 24temple 145fits medium‹ swipe ›
AI-generated · your consent
Under the hood · camera
Front camera, in the browser. Nothing stored until the shopper says so.
Illustrative — a synthetic model from the Panamá packshots; in production, the shopper’s face.
At scale · every shopper, every step, at the same time
Not one shopper. All of them.
12looks in progress
1,284looks today
318shared
96add-to-cart
illustrative
in progress
done
log
Idea · not a promise
An idea to A/B test
At the last step: 15% off if you buy within 15 minutes — 1% less every minute.
15:0015% off
We’d test it together — offer, timing, who sees it.
Illustrative — four synthetic shoppers; in production, each card is a real person on the product page.
Why this works
Disrupt the eyewear shopping experience.
3,900
From your packshots
No 3D models — the whole catalogue, day one.
Identity preserved
Face and pose stay; frame, scene, outfit change.
RSF-curated scenes
Your creative team sets the palette.
A share engine
Every look: a page, a lead.
Disclosed & consented
AI-labelled, consent first, deleted on request.
Measured
starts→looks→shares→add-to-cart
BenchmarkA UK independent optician shipped a generative try-on and reports +20% frame sales. Peers (Lexxola, Akila, Chimi): no try-on.
Use Case 02 · E2E AI Customer Service
02
One desk, three customers — done, not drafted.
The problem
Three people became one. Shoppers, opticians and distributors still write to that desk — and every ticket is still opened by hand.
The idea
One assistant, three profiles, inside your platform. The routine resolved end-to-end; your colleague approves refunds, claims and documents.
Who writes, and what they ask
Same assistant. Three profiles. Three different answers.
Shoppers
online, in store
order tracking
customs duties
returns & exchanges
warranty claim, photos
spare parts
Routine resolved; refunds and claims need a person.
Opticians
1,335 doors, 22 countries
reorder ship date
backorders & ETAs
claim within 8 days
price list, images
display material
Backorders announced before they ask.
Distributors
by country, all brands
shipment status
customs: invoice, HS codes
CE documents
batch claims
stock & reorders
Document pack drafted; one click.
Knows who’s writing · replies in their language: IT · EN · FR · DE · ES · JA · KO · ZH
The overhead today · and where it goes
Three audiences, one inbox, one person.
Shoppers
Opticians
Distributors
…one inbox, one desk
Today — every ticket by hand
Three audiences
every language · every day · by hand
Your colleague
one desk
Even with drafts, every ticket is opened, checked, translated and sent by hand.
With the assistant
Three audiences
routine
Assistantresolves & follows through
decisions only
Your colleague
decides
The routine closes itself. Your colleague gets a decision — file already assembled.
How it works · step through it
From request to done — five steps.
01
A request arrives
02
Recognised — who, and what
03
Reads the right sources
04
Resolves or prepares
05
Your colleague decides
Step 1 / 5
A request arrives
Email, the site chat or the ticket queue — WhatsApp optional. Nothing changes for the customer: they write where they always wrote, in any language, at any hour.
See it working · click a request to switch
The customer asks. The assistant closes it.
support@retrosuperfuture.com · assistantreplies in the customer’s language · IT EN FR DE ES 日本語 한국어 中文
Request:
Illustrative examples — answers only from your orders, policies and templates; hands over when it should.
See it working · a live simulation
A queue of decisions, not a wall of email.
customer service · livesimulation · illustrative
Customers0 open
The assistant
98resolved by the assistant
28with your colleague
Your colleagueone click
Logeverything, timestamped
resolved by the assistantwith your colleagueopen
Illustrative — 70% resolved without a person; every case logged.
BenchmarkA European eyewear e-tailer (B2C and wholesale) went from 25% to 75–79% resolved once its assistant read orders; industry median without that wiring: 45%.
Trust & data
Your data stays yours.
Shoppers & customers
faces · orders · money
consent first
The assistant
resolves the routine
read-only · one-click approval
Your platform
orders · shipments · stock
EU-hostedGDPR by designNo training on your dataEncrypted & scopedNDA firstDeleted on request
One build touches faces, the other money — both are built to your rules.
The build plan · both use cases
Day 63: both live — the shop window disruptive again, the routine off the desk.
Workstream
W0W1W2W3W4W5W6W7W8W9
W0 · Sign NDA & SA — not counted
NDA + SA
UC1Frame prep & fit engine
hero frames → fit
UC1Scene studio
colour · background · outfit · place
UC1Motion & the look page
clip · look page · share
UC1UAT → live
sign-off → live
UC2Map & measure
read → the numbers
UC2Shoppers, then trade
shoppers → approval screen → trade desk
UC2Shadow mode
proposes · approves
UC2UAT → live
live
Week 2 — hero frames & numbersDay 56 — customer service liveDay 63 — try-on liveSigned in October, live before year end — 2026 budget; run starts 2027.
Both dates assume the 10-system scope and no storefront rebuild — the two unknowns on the next slide can move them. Re-baselined at kickoff.
What it costs
Two builds, two unknowns — priced honestly.
Use Case 01 · AI Immersive Try-On
① Camera & fitEUR 14,500
② Scene studioEUR 15,500
③ Motion & the look pageEUR 9,500
BuildEUR 39,500
+ Website integration placeholder20% · EUR 7,900
Use case 01 total incl. integration placeholderEUR 47,400
Monthly maintenanceEUR 1,400 / mo
Use Case 02 · E2E AI Customer Service
④ Map & measureEUR 6,500
⑤ ShoppersEUR 14,500
⑥ Trade deskEUR 16,500
Build, including 10 connected systemsEUR 37,500
Use case 02 total at 10 connected systemsEUR 37,500
Monthly maintenanceEUR 1,150 / mo
If more systems: each further block of 10+15% · EUR 5,625
Total build
EUR 84,900
incl. EUR 7,900 placeholder
Total maintenance
EUR 2,550 / mo
EUR 30,600 a year
EUR 84,900 assumes a standard storefront and 10 connected systems — EUR 77,000 if we hand over the code instead of integrating, EUR 96,150 at 30 systems and up from there.
Ex VAT · 9-week build, counted from Week 1 · maintenance starts at each go-live.
Unknown · placeholder
How your storefront is built
We haven’t seen the site’s structure yet, so we don’t know whether we integrate into it or hand over the code. Placeholder: +20% of the try-on build, EUR 7,900, assuming a standard storefront. A bespoke or headless front end is re-quoted upward once we’ve looked.
Unknown · placeholder
How many systems to connect
Shipping providers, carriers, the platform, the ticket system. The price covers 10 external APIs. Every further block of 10, or part of it: +15% of the customer-service build · EUR 5,625.
up to 10 APIsEUR 37,500included
up to 20 APIsEUR 43,125+15% · EUR 5,625
up to 30 APIsEUR 48,750+30% · EUR 11,250
Indicative. Both placeholders are re-quoted at kickoff — once we see the storefront and list the systems. Maintenance is reviewed then too.
Maintenance covers hosting, monitoring, updates and support. AI usage is billed at cost — ≈ EUR 0.50 per completed look; ≈ EUR 1,000 a month at 2,000 looks (estimate).
Public support to check with your advisor: SIMEST 10% grant up to EUR 100k, open from 21 Sep 2026 · Lombardy SI4.0 50% up to EUR 30k closes 25 Sep — claiming it means signing this week rather than in October.
Brainstorm · not a proposal yet
Your turn: what did we get wrong?
01
Sales or operations first?
02
Does the try-on match the render you imagined?
03
Which audience hurts most today?
04
Would you A/B test the 15-minute offer?
05
What’s missing?
×
The numbers are indicative — the formal proposal follows this conversation.
What we’ll need from you, to start
A short list.
For Use Case 01
Hero frames + packshots
Packshots already on Shopify; a shortlist to tune.
packshots→30 hero frames→tuned in week 2
For Use Case 01
Moodboard & palette
Scenes, outfits, places; what to avoid.
For both
A few hours
Your colleague, creative team, platform builder.
For Use Case 02
The inbox, three months
Tickets, chats, emails — messy is fine.
For both
An NDA and SA
To see how you really work.
For Use Case 02
Rules + read access
policieswarrantytrade terms
ordersshipmentsstock
The value, side by side
What each build is worth — numbers we stand behind.
The try-on
+20%
frame sales · UK independent
14%
eyewear sales online · Euromonitor 2026
70%
your variants end in “find a stockist”
Every shared look is media you didn’t pay forexpected effect
UK independent optician case (2026) · Euromonitor eyewear e-commerce 2026 · retrosuperfuture.com variant availability, read 15 Sep 2026
Before the next hire
A second hire
EUR 34–42k / year
The assistant · from 2027
EUR 13,800 / year
The build · 2026
EUR 37,500≈ one hire
CCNL Commercio 3°/4° livello tables 2026 · employer-cost calculators (INPS ~24–28%, TFR 6.9%, INAIL) · Talent.com Milan · Italian recruiting benchmarks 2026
Both builds plus a year of run ≈ three hires. From year two, EUR 30,600 a year — less than one hire.
Get started
Three steps to kickoff.
Step 01
Green light
A short call to walk through the plan and shape both builds.
Step 02
NDA & SA
NDA and SA with the statement of work; you sign — a week.
Step 03
Kickoff & Week 0
Hero frames, moodboard, inbox export — both builds start; live by year end.
×
Thank you.
Make the shop window disruptive again — and take the routine off the one desk that answers everyone.
×
HKSAR Government
Here we can be FAST
