Sectors
Every sector leaks hours somewhere else.
AI and marketing, sector by sector
The hotelier loses bookings at 02:10. The accountant loses afternoons classifying expenses. The plant loses parts nobody saw. The clinic loses calls while the dentist holds the drill.
Pick your sector. You’ll see where we look first, what we measure, and a demo that runs in your browser.
Not on the list? There’s room for you at the bottom of the page.
At a glanceSectors
What does AI do in each sector?
For Greek SMEs and plants, AI takes over the repetitive work that leaks hours: reading documents, answering routine questions, inspecting parts, forecasting demand. Below are eight sectors, from plastics to e-shops, each with what we measure first and something to try in your browser. Every project starts with an X-Ray of your real working day. From €890 for one process.
A Workflow X-Ray is a fixed-price diagnosis, one to two weeks long, that maps how work really moves through a business, measures the hours, errors and cost at every step, and ends with five automation opportunities with the payback calculated, plus a live demo on your own data.
Netex — digital engineering studio in Heraklion and the Almyros industrial area.
Eight files
The sentence we hear in every sector.
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Plastics & packaging “The customer finds our defects before we do.” 12.67% · EU 16.77% (rubber, plastics, minerals) Open the file
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Metals & steel “The crane stopped at 23:40. The one person who knows why is asleep.” 4.72% · EU 14.33% Open the file
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Food & beverage “On Friday we bin it. On Monday there isn’t enough.” 3.84% · EU 12.47% Open the file
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Logistics & distribution “They asked for a quote at 09:12. By 09:40 they had three.” 9.56% · EU 11.15% (transport and storage) Open the file
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Hotels & hospitality “The message came in at 02:10. The booking went elsewhere at 02:30.” 13.51% · EU 21.31% Open the file
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Clinics & veterinary “The phone rings. You’re holding the drill.” 38 in 100 calls unanswered (26 US dental practices, vendor data) Open the file
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Accounting & law firms “The documents arrived as data. We still read them one by one.” 1.09% · EU 4.61% (AI in finance) Open the file
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E-shops & retail “‘Which size should I get?’ 23:40. Nobody answers.” 7.24% · EU 15.46% Open the file
Firms with 10+ staff, Eurostat 2025, unless another source is named. source (opens in a new tab)Eurostat, AI use by sector (isoc_eb_ain2), 2025 · official statistics source (opens in a new tab)Peerlogic, 26 practices in one US dental group (February 2026) · vendor data source (opens in a new tab)Eurostat, AI use in enterprises (isoc_eb_ai), 2025 · official statistics
The gap
Europe has already started.
Firms with 10 or more staff using at least one AI technology, 2025.
Large Greek firms (250+ staff) went from 24.27% to 37.58% in a year. Small ones (10–49 staff) slipped from 8.20% to 7.33%. source (opens in a new tab)Eurostat, AI use in enterprises (isoc_eb_ai), 2025 · official statistics
| Sector | Greece | EU-27 | Show the multiple |
|---|---|---|---|
| All firms | 8.93% | 19.95% | EU 2.2× |
| Manufacturing | 7.77% | 17.27% | EU 2.2× |
| Food, beverages, tobacco | 3.84% | 12.47% | EU 3.2× |
| Basic and fabricated metals | 4.72% | 14.33% | EU 3.0× |
| Rubber, plastics, non-metallic minerals | 12.67% | 16.77% | EU 1.3× |
| Retail | 7.24% | 15.46% | EU 2.1× |
| Wholesale | 11.64% | 23.42% | EU 2.0× |
| Accommodation | 13.51% | 21.31% | EU 1.6× |
| Transport and storage | 9.56% | 11.15% | EU 1.2× |
Eurostat isoc_eb_ain2 and isoc_eb_ai, 2025 · official statistics source (opens in a new tab)Eurostat, AI use by sector (isoc_eb_ain2), 2025 · official statistics source (opens in a new tab)Eurostat, AI use in enterprises (isoc_eb_ai), 2025 · official statistics
Sector figures rest on smaller samples and swing from year to year. In food, Greece stood at 9.75% in 2024, above the EU. Read the trend, not the decimal.
More sectors
No page of their own yet. Already a demo of their own.
Every sector has an invisible problem in operations and a hidden frame in marketing. These are the scenarios you can already play.
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Olive oil & wineries
“The buyer in Munich waits three days for a sample and a price.”
Sector page: coming soonA sales agent that answers from your spec database, around the clock
The Tree That Texts
Play the scenario: The Tree That Texts -
Real estate
“The buyer in Stockholm asks how much sun the living room gets in December.”
Sector page: coming soonA reply to every new lead in under a minute, in two languages
Sunlight Time Machine
Play the scenario: Sunlight Time Machine -
Car dealers & workshops
“‘Is my car ready?’ Tenth call today.”
Sector page: coming soonA service-booking agent that knows the status of every car
Hear That? · a first clue, not a diagnosis
Play the scenario: Hear That? -
Gyms
“They joined in September. By November we’d stopped seeing them.”
Sector page: coming soonTrial bookings on Viber and a nudge when someone starts missing visits
Do 20 Squats
Play the scenario: Do 20 Squats -
Tutoring centres
“Parents ask the same five questions on Viber every week.”
Sector page: coming soonParent messages on absences, timetables and payments. Grades stay with the teacher.
Find the Mistake
Play the scenario: Find the Mistake -
Pharmacies
“‘Do you have it?’ Same question, all day, on three channels.”
Sector page: coming soonViber for “do you have it?” and reserve-for-pickup. Anything about a medicine, the pharmacist answers.
Pollen Radar · legal review first
Play the scenario: Pollen Radar -
Restaurants & cafés
“At 21:15 the phone rings and nobody has a free hand.”
Sector page: coming soonReservations by voice and WhatsApp in several languages
Headphones Only
Play the scenario: Headphones Only -
Salons & beauty
“‘Will copper suit me?’ The most expensive question in the salon.”
Sector page: coming soonBookings by service and stylist, on Instagram and Viber
Shade Mirror
Play the scenario: Shade Mirror -
Yachting
“The weather changes every day. Our bookings don’t.”
Sector page: coming soonFleet availability matched to the wind forecast
Wind Window
Play the scenario: Wind Window -
Building materials
“The bill of quantities arrives as a PDF. The quote goes out two days later.”
Sector page: coming soonFrom bill of quantities to quote, with prices from the ERP
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Energy & solar
“The park produces. The question is how much it loses.”
Sector page: coming soonAnomaly detection on strings and inverters, production forecasting
Don’t see your sector?
All the better. It means nobody has X-rayed you yet.
The Workflow X-Ray doesn’t start from a sector. It starts from one working day: who retypes what, who waits for whom, which phone nobody picks up.
Opens the Workflow X-Ray with the Hidden Cost Meter.
Measure your hidden cost
Hidden Cost MeterWork sheet
Department Accounts
- Documents per month
- 600
- Minutes per document
- 5 min
- Documents with an error or exception (%)
- 8%
- Minutes to fix each error
- 20 min
- Hourly labour cost
- €18.20/hour
Eurostat lc_lci_lev, 2025 · official statistics
- Hidden hours per month
- 66
- What could be automated
- People back on real work
- 0.22–0.31 full-time equivalentsWe don't count jobs cut. We count time given back.
- Payback against a pilot
- 10–21 months Against a typical pilot of €6,000 to €18,000.
What we'd build
- Document reading into the ERP and myDATA, with an approval queue
- Automatic matching of invoice, delivery note and order
- Cash-on-delivery and bank reconciliation
Funding. In the X-Ray we check which programme fits, if any does, against the current call text.
The formula
Hidden hours/month = (documents × minutes + documents × error % × fix minutes) ÷ 60
Cost/year = hidden hours/month × 12 × hourly cost (+ external cost, where there is one). Automatable = labour cost × department coefficient (0.50–0.70) + external cost × a second coefficient. People = hidden hours/month × coefficient ÷ 150 hours. Payback = pilot cost ÷ (automatable ÷ 12).
The coefficients are our own conservative estimate, shown here so you can challenge them. 150 hours is one person's productive time in a month (≈1,800 a year).
The form will already hold your numbers.
Questions about AI by sector
Which sectors does Netex work with?
Any business where hours leak into repetitive work. Eight sectors have their own page: plastics and packaging, metals, food and beverage, logistics, hotels, clinics and vets, accounting and law firms, and e-shops. Eleven more, from olive oil to solar parks, are listed below with one AI move each, most with a scenario you can play.
My sector isn't listed. Can you still help?
Yes. The Workflow X-Ray doesn't start from a sector; it starts from one working day: who retypes what, who waits for whom, which phone nobody picks up. The Hidden Cost Meter on this page gives a first estimate with your own numbers before you book anything.
How many Greek businesses use AI?
In 2025, 8.93% of Greek firms with 10 or more staff used at least one AI technology, against 19.95% across the EU (Eurostat). Large Greek firms rose from 24.27% to 37.58% in a year, while small ones slipped from 8.20% to 7.33%. Each sector page shows its own figure, with the source.
How much does it cost to start?
The first step is an X-Ray: from €890 for one process, €1,900 for up to three departments and from €4,900 for a plant. It is credited in full against the pilot. Before that, a free 45-minute call tells us both whether it's worth it.
What can I try on this site before I call?
Every sector page has something that runs in your browser: a vision game on a bottling line, a quote race for logistics, a missed-call calculator for clinics, a heatwave price for e-shops. The Strategy Lab adds playable marketing scenarios, from hotels to pharmacies. None of them needs a sign-up.
Will AI replace our staff?
No. We count hours given back, not jobs cut. In every sector the AI takes the reading, typing and routine answers; people keep approvals, judgement and anything unusual. The Hidden Cost Meter shows the time returned as full-time equivalents, so you decide where it goes.
Sectors
Pick a sector. Or pick a day.
The X-Ray costs from €890 for one process, €1,900 for up to three departments, and from €4,900 for a plant. Credited in full against the pilot.

