Η σελίδα υπάρχει και στα ελληνικά. Διαβάστε τη στα ελληνικά
AI & Custom Solutions
Four ways to get hours back, a written standard for how we do it, and a diagnosis that tells you where to start.
What AI does inside a business: the overviewSectors
Not sure where to start?
Workflow X-Ray
In one to two weeks: a map of hours and euros, five opportunities with the payback worked out, and a demo running on your own data.
From €890 · credited 100% against the pilot
| Production | Demand | |
|---|---|---|
| Mon | 80 | 96 |
| Tue | 92 | 90 |
| Wed | 95 | 94 |
| Thu | 100 | 102 |
| Fri | 112 | 86 |
| Sat | 116 | 118 |
| Sun | 66 | 64 |
Sectors · Food & beverage
“On Friday we bin it. On Monday there isn’t enough.”
In 2025, food manufacturers in Europe were three times as likely to use AI as those in Greece.
Firms using AI
source (opens in a new tab)Eurostat, AI use by sector (isoc_eb_ain2), 2025 · official statistics · firms with 10+ staff · food, beverages, tobacco (NACE C10–C12)
In 2024 Greece stood at 9.75%, above the EU’s 6.79%. Sector figures swing from year to year: read the trend, not the decimal. For manufacturing as a whole, 7.77% against 17.27% (2025).
Milk, bread, juice: anything with a short shelf life makes every forecasting error expensive. The heatwave, Easter, the supermarket promotion and May’s first tourists are data. They can go into the production plan before 17:00.
We work from the Almyros industrial area and Heraklion, close to the food plants of Thessaly and Crete.
The invisible
Loss in food has a best-before date. Whatever isn’t measured today gets binned on Friday.
“Tomorrow’s quantity is decided at 17:00, on gut feel.”
“One wrong date on a label and the chain sends the whole pallet back.”
“Every HACCP audit costs us a week of paperwork.”
“The filling line stopped again mid-shift.”
What we build
On the left, what makes production match demand and the label match the lot. On the right, what lets a buyer abroad know where their product comes from.
Weather, holidays, retailer promotions, tourist season: the per-SKU forecast feeds the afternoon production proposal. The manager approves.
Reads best-before date, lot and label position on every unit. Anything doubtful goes to a person, not the bin.
Vibration and current on pumps, compressors and fillers. The stop happens at shift change, not mid-shift.
Temperatures from sensors instead of paper, an audit file always ready, a warning before a supplier certificate expires.
Compressors and cold rooms scheduled by load and tariff, inside the HACCP temperature limits.
The rep forwards the supermarket’s message. The order opens in the ERP with codes and quantities. The rep confirms.
No savings percentage before the X-Ray. We measure it in your own business.
For olive oil and agri-food: a customer abroad adopts a tree, and the tree writes to them every week with weather and grove data. It says it’s an AI persona in its first sentence.
The EU wine e-label QR may carry neither marketing nor tracking. Keep the compliant QR and add a second one: “this bottle’s story”, with the season’s weather and the producer. source (opens in a new tab)NSF, EU wine e-label · industry body
When an importer asks an AI for a “PDO feta supplier for wholesale in Germany”, you’re the one it names, with specs and certifications in tables.
Web & Apps: where the two meet
An ordering app for supermarkets and HoReCa, and an e-shop for direct sales, connected to the ERP and myDATA.
Web & AppsX-Ray
Orders on Viber, a spreadsheet at 17:00, a label nobody read, a HACCP file that gets built in audit week.
From forecast to waste
How this mechanism runs for a business in this sector, step by step.A scan line passes over the steps and marks the hot ones.
The rep collects supermarket orders by phone and Viber
Reads
Reads the order from Viber and email and opens a draft in the ERP. The rep confirms.
6′ 1′ Minutes on the new path
Orders are retyped into the ERP
Reads
Merged into the previous step
4′ 0′ Minutes on the new path
Tomorrow’s quantity is set with a spreadsheet and gut feel
Predicts
A per-SKU forecast with weather, holidays and promotions. The manager approves.
45′ 10′ Minutes on the new path
Production sequence and line changes on paper
Predicts
Merged into the production proposal
30′ 0′ Minutes on the new path
Date and lot checked by eye
Sees
A camera reads every label. The inspector sees only the rejects.
20′ 5′ Minutes on the new path
HACCP temperatures written by hand
Reads
Sensors log by themselves. The manager signs off the day.
2′ 0′ Minutes on the new path
Audit prep: chasing supplier certificates
Acts
The file is always ready. A warning before a certificate expires.
480′ 60′ Minutes on the new path
Counting waste and returns, weekly report
Acts
The report builds itself from the ERP
60′ 10′ Minutes on the new path
Supplier invoices: milk, packaging, haulage
Reads
Reads, checks, posts to the ERP and myDATA
5′ 1′ Minutes on the new path
| Step | Who | Minutes | Times a month | With AI | Minutes on the new path |
|---|---|---|---|---|---|
| The rep collects supermarket orders by phone and Viber | sales | 6 | 600 | Reads: Reads the order from Viber and email and opens a draft in the ERP. The rep confirms. | 1 |
| Orders are retyped into the ERP | office | 4 | 600 | Reads: Merged into the previous step | 0 |
| Tomorrow’s quantity is set with a spreadsheet and gut feel | production | 45 | 22 | Predicts: A per-SKU forecast with weather, holidays and promotions. The manager approves. | 10 |
| Production sequence and line changes on paper | production | 30 | 22 | Predicts: Merged into the production proposal | 0 |
| Date and lot checked by eye | quality | 20 | 66 | Sees: A camera reads every label. The inspector sees only the rejects. | 5 |
| HACCP temperatures written by hand | quality | 2 | 600 | Reads: Sensors log by themselves. The manager signs off the day. | 0 |
| Audit prep: chasing supplier certificates | quality | 480 | 1 | Acts: The file is always ready. A warning before a certificate expires. | 60 |
| Counting waste and returns, weekly report | management | 60 | 4 | Acts: The report builds itself from the ERP | 10 |
| Supplier invoices: milk, packaging, haulage | accounts | 5 | 400 | Reads: Reads, checks, posts to the ERP and myDATA | 1 |
The X-Ray above is someone else’s day. The meter takes yours: a few sliders, your own cost per hour, the formula on the page.
Hidden Cost MeterWork sheet
Department Quality
Eurostat lc_lci_lev, 2025 · official statistics
Funding. In the X-Ray we check which programme fits, if any does, against the current call text.
Hidden hours/month = inspection hours × 4.33 + audit hours ÷ 12. Returns cost/year = returns × cost × 12, added as external cost.
Cost/year = hidden hours/month × 12 × hourly cost (+ external cost, where there is one). Automatable = labour cost × department coefficient (0.30–0.60) + 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.
Play
A bottling line, the labels and caps of a food plant: the same checks a camera does on yours. An AI-generated image of an olive-oil bottling line hides eight deliberate defects. Find as many as you can. When the clock stops, you see what a vision model found in the same image.
Human vs Vision AI
The machine: 8/8 · missed: 0 · false alarms: 3.What the vision model flagged on this line.
“34 °C today. I drank a little in the night. My olives are filling out.” An olive tree in Crete writes to its customer in Munich.
Replies are built from templates filled with live weather data, not from a free-running model. The tree says it’s an AI persona.
Anthropomorphism increases liking for a product (Aggarwal & McGill 2007). source (opens in a new tab)Aggarwal & McGill 2007 · academic
Subscriber churn 20–40% below a plain olive-oil subscription. A planning range for a pilot in a Greek SME. Your own figure is measured in the pilot.
Play the scenarioFunding
We don’t sell grants. We show you which programme fits, if one does.
| Programme | Status | What it can cover |
|---|---|---|
| Development Law, “Manufacturing – Supply Chain”, cycle 4 | 2026 call | Cameras, temperature sensors, automation source (opens in a new tab)Ministry of Development, Development Law calls · official |
| €150M AI scheme for SMEs | Announced. Terms and date not yet published. | According to the announcements, agri-food is included: AI applications, training, consultants. The terms will confirm it. source (opens in a new tab)ictplus, €150M AI scheme · press |
| Social Climate Fund | Announced, being rolled out. Part of the budget goes to SME infrastructure and energy costs. | The measurement layer behind cooling-efficiency projects source (opens in a new tab)taxrevenue.gr, new SME schemes and Social Climate Fund · press |
| Thessaly, “Anaptyssomai exypna” (70%) | Closed to new applications. Approved firms implement within 24 months. | Software, licences and SaaS within the call’s limits source (opens in a new tab)Anaptyxiaki, Thessaly «Anaptyssomai exypna» · consultancy |
Subject to the text of the current call. Every X-Ray includes a funding annex.
Proof
We ask one thing: permission to publish the numbers, with the method and the name of the person who got their hours back.
We’d like to be firstThese are other people’s numbers, with sources. We measure yours.
It forecasts demand per SKU using weather, holidays and promotions, so production matches orders. It reads dates and lots with a camera, keeps HACCP records without paper, predicts failures on the filling line, and moves orders from Viber into the ERP.
Usually two years of sales per SKU and customer from the ERP, plus the promotions calendar. We add the weather and holidays. If there’s less history, we say so in the X-Ray and start with the SKUs that waste the most.
No. The camera reads every label, which no person can do for a whole shift. Doubtful units go to the inspector, who decides. Their time goes where judgement is needed, not into staring at thousands of identical lids.
Yes. We connect to your ERP, such as SoftOne, Entersoft or Epsilon, to myDATA, and to whatever the retailers send: email, portals, Viber. We don’t ask them to order differently. We change what happens next.
With the Plant X-Ray: ten working days with a stopwatch, sales and waste data, quality records and a camera test on one line. You get a map of hours, kilos and euros, and we start with whatever pays back first.
X-Ray
Ten working days on site, from the supermarket’s order to the waste bin. You leave with a map of hours, kilos and euros, and a demo on your own labels.
from €4,900
The form opens with your sector selected and whatever you pinned. Nothing goes into the page address.