iLEAN for food: GS1 traceability and minute-scale recall
The food industry lives under mandatory farm-to-consumer traceability — EU Regulation 178/2002, FSMA, Mexican NOMs, IFS/BRC/ISO 22005 certifications. iLEAN covers all four frameworks on a single platform with minute-scale recall.
61 real AI cases in food plants
See how iLEAN Connect, Edge and Agents apply to a fresh cheese dairy, a processed cheese plant, a breadstick and crispbread bakery and a rawhide chew treat plant — paperless capture at second zero, panels read by camera, in-line vision and verification rings for zero recalls, each with an estimated ROI.
100% agave tequila distilleries
Batch log captured with one photo, the autoclave that starts talking, 100% vision on the bottle, validated brand changeover, batch evidence pack for the CRT and agave-to-bottle yield under control.
See the cases → 12 casesSoft drink and water bottling
Paperless shift start, the returnable washer that starts to talk, 100 % vision on fill level, cap and label, validated flavor changeover and zero variance across plant, depots and route.
See the cases → 12 casesCane sugar refining
Refineries melting bulk raw sugar into white, brown and certified organic: the paperless shift log, the boiling curve digitized without touching the pan, seal and code on 100% of bags and zero off-spec sugar leaving the plant.
View cases → 12 casesCoffee, culinary, snacks and foodservice
Groups that roast coffee, can vegetables and culinary products and supply their own restaurants: the paperless roast log, the old roaster digitized without replacing it, seals under vision and ten factories speaking one language.
View cases → 12 casesIndustrial brewery
Paperless packaging startup, a pasteurizer that speaks, inline vision and zero pallets shipped unreleased.
View cases → 12 casesFresh cheese — dairies for large retail
Digital vat sheet, HTST pasteurizer read by camera, milk collection notices at second zero, laboratory Excel into the ERP, tub seal Edge vision, validated variety changeover and an IFS/BRCGS evidence pack always ready.
View cases → 12 casesProcessed cheese — slicing and packing for private label
Paperless line startup, the vintage slicer's panel read by camera, retailer order changes caught in seconds, coder-checkweigher-slicer stitched to the ERP, Edge vision on every pack and four rings for zero labeling recalls.
View cases → 13 casesBreadsticks and crispbread — dry bakery multi-SKU
Paperless batch startup, the vintage tunnel oven read by camera, the flour supplier's email at second zero, shape and seasoning Edge vision, gluten-free cleaning validated with evidence and an agentic system for zero labeling recalls.
View cases → 12 casesPetfood — rawhide chew treats for export
Paperless batch startup, drying chamber read by camera, brand artwork alerts, Edge vision at sorting, verified line clearance between brands and five rings for zero recalls at destination.
View cases →Farm-to-consumer traceability is mandatory
The food industry lives under mandatory traceability from farm to consumer:
- EU Regulation 178/2002: requires one-step-back, one-step-forward traceability.
- FSMA (Food Safety Modernization Act): US equivalent.
- Mexican NOMs: specific requirements for MX market.
- IFS / BRC / ISO 22005: certifications that act as a passport for retail sales.
iLEAN covers all four frameworks on a single platform with minute-scale recall response. We have documented cases with Cepicafé (Peru) and McDonald's (global chain).
iLEAN doesn't replace the method — it brings it into the 21st century.
Every Lean methodology was born to solve an information problem: where stock is, which machine is failing, what changed shift-to-shift. When information is paper, methods are rituals. When it's live data, they become the actual engine of the plant.
Classical method tells you what to measure. The IRIS system guarantees the measurement reaches whoever decides, the moment they decide — without anyone typing it in.
The three capture layers applied: Connect (photo, voice, email, WhatsApp), Edge (computer vision on the line) and Integrations (ERP/MES/SCADA/PLC). On top of that unified information, specialized agents serve the exact context to each person on the floor.
What a food plant requires and what iLEAN covers
| Need | Regulatory framework | iLEAN coverage |
|---|---|---|
| Batch traceability | EU 178/2002, FSMA, IFS | iLEAN Tracer with GS1 + Cepicafé case |
| Product recall | Legal: 24h. Industry: minutes | Batch reconstruction in < 5 min |
| Cold chain | IFS / BRC | Temperature sensors + alarms |
| Allergens | EU mandatory labeling | Label validation via vision |
| IFS/BRC audit | Annual + surprise | Instant report of any KPI |
What people ask about iLEAN in food
Which food traceability regulations does iLEAN cover?
The four main ones: EU Regulation 178/2002 (Europe), FSMA (United States), NOMs (Mexico), and IFS / BRC / ISO 22005 certifications (private audits that act as a retail passport).
How fast can a product recall be executed with iLEAN?
With iLEAN Tracer, a selective recall (only the affected batch, not everything) is reconstructed in under 5 minutes — from raw material in to customer who received it. The typical legal window is 24h; plants using iLEAN meet it with massive margin.
How does GS1 fit with my current coding system?
iLEAN supports the GS1 standard (GTIN, SSCC, EPCIS) in parallel with your current system. The transition is phased — start labeling new product with GS1 while legacy keeps its codes until consumed. No big bang.
What real food cases does iLEAN have?
Two publicly documented cases: Cepicafé (Peruvian coffee cooperative, traceability from farm to European container with GS1) and McDonald's (global chain, integration with OEM systems and multi-country compliance).
Does iLEAN cover cold chain and temperature-controlled monitoring?
Yes. Temperature sensors at each critical point (reception, refrigerated warehouse, transport) feed the IRIS brain. Any deviation outside the allowed range fires an alarm and is logged for IFS/BRC audit.
All 294 cases in food
The complete listing, unpaginated. Each link goes to the specific case: the problem as it shows up on the plant floor, how the IRIS schema solves it and what was measured.
General cases (224)
- 24/7 OEE in food manufacturing with AI — the micro-stops nobody writes down are your biggest loss pool.
- A 1998 tunnel oven with an isolated Windows 2000 PC — and a per-batch baking dossier the IFS auditor wants tomorrow.
- A 1998 tunnel oven with an isolated Windows 2000 — and a per-batch baking dossier the IFS auditor asks for tomorrow.
- A human verification tablet on the line — the person signs, in 2 taps, before the data enters the system.
- A paper delivery note should not block the unloading of the truck.
- A retailer order change in a dairy processing plant — the planner’s inbox is where the waste is lost.
- Agave intake traced by photo
- AI allergen labeling in cheese dairies — a mistake is not a fine, it is a recall.
- AI control of aluminum aerosol packing — a can with no pressure is a recall, not a complaint.
- AI control of baby food in glass jars — zero tolerance means 100% inspection, not sampling.
- AI control of beer fermentation — the curve does not wait for daybreak, and the brewmaster cannot be on call all night.
- AI control of bulk wine — a tanker loaded from the wrong tank is an entire lot downgraded.
- AI control of chilled ready meals — short shelf life, multi-SKU, zero margin for error.
- AI control of fruit dehydration — the drying end point should not arrive hours late.
- AI control of ham curing — the curve that decides whether the batch ships or is lost.
- AI control of Iberian ham salting — the exact point on every leg, not the batch average.
- AI control of IQF ice cream — a tunnel at −40 °C does not forgive, and neither does the shelf.
- AI control of pâté and meat emulsions — a break is not discovered at packing, it is prevented at the cutter.
- AI control of snack extrusion — the shape at the die rules, not the recipe in the spreadsheet.
- AI control of the cheese curing chamber — quality stops depending on the shift.
- AI recipe and dosing control — the out-of-tolerance weighing is caught at second zero, not at month-end.
- Alerts from the depots and haulers become action
- Allergens in infant food with AI — zero tolerance is not a slogan, it is a system.
- Aquaculture traceability with AI — what the retailer wants is consistency, not more paperwork.
- Automated nutrition labeling with AI — changing one ingredient shouldn't mean reviewing hundreds of labels.
- Automatic FIFO/FEFO in a food warehouse — an expired unit on the retailer's shelf is not an incident, it is a phone call from your sales director.
- Backward traceability starts at the dock: receiving by photo
- Batch and expiry travel from ERP to coder with no typing
- Batch startup at a food products plant — the first label is where the shift is won or lost.
- Batch startup in a breadstick and crispbread snack factory — the first label is where the shift is at stake.
- Beef carcass identification with AI — the animal cannot get lost between the ear tag and the hook.
- Biscuit tunnel oven control with AI — anticipate the bake color, don't discover it at packing.
- Blockchain traceability in food — the chain is only worth something if the data at source is true.
- Broken or misshapen breadsticks detected in line — the defective piece does not reach packing.
- Broken or misshapen products caught in line — the defective piece never reaches packing.
- Bulk raw sugar receiving, in one photo
- Busy hands, free voice: the shift’s knowledge stops evaporating
- Butter and margarine control with AI — a badly churned mold goes unseen until it is already in the cold room.
- Canned vegetable control with AI — F0, seam and weight, traceable without notebooks.
- Carbonation and fill level in bottling — rejects pile up when nobody sees the first bad bottle.
- Carcass grading by weight and AI in the cutting room — the class cannot change with the shift.
- Cheese aging traceability — every wheel leaves with its full history, not in fragments.
- Cheese defect detection with AI vision — without stopping the line or depending on the end-of-shift eye.
- Cocoa and chocolate traceability with AI — from the sack to the bar, without fighting for it by hand.
- Coder and labeler integrated with iLEAN — the operator stops typing the SKU changeover.
- Coffee roasting control with AI — so Friday's batch comes out like Monday's.
- Cold room inventory with AI vision — knowing what is there and where without opening the door.
- Confectionery glazing with AI vision — expensive chocolate does not get thrown away; it gets spread properly.
- Crushed tomato and concentrate control with AI — the grade is decided in line, not in the lab.
- Dairy batch recall with AI — a recall done right is measured in minutes, not hours.
- Dairy cold chain — a break discovered at unloading is milk already lost.
- Delivery note and pallet labels in one photo, dock to ERP
- Digital HACCP for dairy with AI — automate the CCPs and leave the real decisions to the team.
- Early human verification: nothing is released unsigned
- Edge vision that ejects the defective pack before the pallet — over the cheese slicer and packing machine.
- Empty container inspection — one particle in a bottle contaminates the whole product.
- European PDO cheeses — the specification is met in the vat, not on paper.
- Every batch writes its own evidence pack
- Every bottle inspected before it is cased
- Every kilo of agave, accounted for in the bottle
- Evidence pack for gluten / gluten-free changeover cleaning — the AOECS audit stops being a sprint.
- Fill level, cap and label under 100% control
- Fish cold room temperature control with AI — the range is not a chart, it is a dossier per batch.
- Flash juice pasteurization with AI — the HTST window is seconds wide, and the decision cannot take longer.
- Flour milling with AI — a low falling number is not an incident, it is a complaint from the baker.
- Four verification rings, from the vat sheet to the shipped pallet
- Fresh pasta quality control with AI — fewer returns, held before the dock.
- From sampling to 100% unit inspection
- From sampling to one hundred percent of containers
- From the laboratory’s Excel to the ERP, without transcribing — and with license savings
- From two weeks reconstructing traceability to zero
- FSMA for food exports to the US — seven rules, one single file, 24 hours to hand it over.
- Functional ingredient quality — viability is won or lost over weeks.
- Glass and metal detection in packing with AI — one foreign body on the shelf is a mass recall.
- Goods-in stops blocking the dock manager for an hour
- Grape must traceability with AI — from vineyard to tank without rebuilding anything by hand.
- Hands busy, voice free: capturing what the shift manager knows
- Hands busy, voice free: shift knowledge stops dying at handover
- Iberian pork — the seal is worth exactly what the traceability behind it is worth.
- IFS/BRC audit always ready with AI — the quality team should not work three weeks for a one-day visit.
- In-line human verification tablet — the person signs, in 2 taps, before the data enters the system.
- Industrial AI cases for soft drink and water bottling plants
- Industrial AI for coffee, culinary, snacks and foodservice groups
- Industrial AI for high-volume breweries
- Industrial artificial intelligence for cane sugar refineries
- Industrial artificial intelligence for fresh cheese factories
- Industrial artificial intelligence in 100% agave tequila distilleries
- Industrial artificial intelligence in rawhide chew treat factories
- Jam and preserve control with AI — Brix, pH and closure, with no jar getting through on a doubt.
- Lab sheets enter the ERP on their own
- Leak detection in meat vacuum packing — the bad bag is found on the line, not on the shelf.
- Line cleaning between a gluten batch and a gluten-free batch — the invisible residue the quality manager signs blind.
- Line cleaning between a gluten batch and a gluten-free batch — the invisible residue the quality manager signs off blind.
- Line startup in a dairy processing plant — the order and the shift checklist live on paper until someone keys them in.
- Line startup stops living on a sheet of paper
- Lot, date and allergens stop depending on someone typing
- MAP packaging with AI — a bad mix or a micro-leak should not be discovered when the customer returns the product.
- Marking stops depending on somebody typing
- Meat cutting traceability — holding the carcass → cut link is the foundation of the whole business.
- Milk fat control with AI — the lab knows, the line doesn't, and the batch is already made.
- Mixing and packing are not the oven: if the output fits into fewer hours, switch them off — and make those hours the cheap ones.
- Multihead weigher with AI — so you know which head is giving away grams.
- NFC juice control with AI — premium doesn't sell with a Brix out of band.
- No data crosses into the system without a person having signed it
- Nothing enters the system until a person signs it
- Nothing enters the system without a human having seen it — the tablet at the line asks for a two-tap signature before the data crosses into the ERP.
- Nothing reaches the ERP without two human taps
- Olive oil mill traceability with AI — segregating PDO and organic without slowing the yard down at the height of the harvest.
- Pallet-by-pallet cold chain in frozen food — a pallet with a broken history cannot go out on the truck.
- Paperless shift start on the filling line
- PDO wine labeling with AI — a misplaced control seal is not a fine, it is a disqualified vintage.
- Pet food extrusion with AI — the SKU changeover is the most expensive moment of the day. And it hinges on an Excel file the operator never read.
- Plan the meat plant for what it is: curing chambers that stay occupied for weeks and work centers you can actually compress.
- Planning the beverage plant around what is expensive to change: the tanks and the filling line.
- Planning the dairy plant around what really costs money to stop: the drying tower and the UHT line.
- Planning the frozen food plant around the center that eats the most energy: the freezing tunnel.
- Planning the ingredients plant around what is expensive to stop: the reactor, the dryer and the extruder.
- Planning the tunnel oven as what it is: a work center that runs better if you never stop it.
- Plant-based beverage control with AI — a cross-contact allergen gives no warning; it shows up in RASFF.
- Predictive maintenance of HTST pasteurizers — the unplanned stop costs entire shifts.
- Premium seafood — the value is in the cold chain, and in being able to prove it.
- Production waste and food waste with AI — waste should not surface only at month-end.
- RASFF and AESAN alerts with AI — a 10 pm alert should not wait until the next morning.
- Raw milk traceability from farm to plant — one record for every liter received, not five islands nobody cross-checks.
- Real AI cases in bakery
- Real AI cases in beverages
- Real AI cases in breadsticks and crispbread
- Real AI cases in dairy
- Real AI cases in frozen foods
- Real AI cases in ingredients
- Real AI cases in processed cheese
- Real AI cases in the food industry
- Real AI cases in the meat industry
- Receiving stops blocking the manager for an hour — the truck waits while the delivery note and the GS1-128 labels are typed by hand into the ERP.
- Returns and reverse logistics with AI — every rejected pallet should close a root cause, not open a limbo.
- Rice whitening with AI — between leaving grain dark and breaking whole grain there is a very narrow band. That band is money.
- Sausage drying room control with AI — a piece that drifts is not recovered, it is anticipated.
- Seal and code verified on 100% of bags
- Shellfish cold chain control with AI — from boat to shelf, no jumps in the curve.
- Snack seasoning control with AI — the right dose in every bag, not just in the recipe.
- Sugar refinery with AI — the commercial grade is not decided in the lab, it is decided in the vacuum pan.
- Sunflower oil refining with AI — a container rejected for poorly precipitated wax is not an incident. It is a day's work lost.
- Table olive traceability with AI — from the grove to the shelf, without rounding up spreadsheets the night before the audit.
- Ten acquired factories, one operational language
- The "line is clean" signature stops going in blind
- The agave truck alert, read at second zero
- The AI proposes, the human signs, and only the signed crosses
- The alert that dies in an inbox now reaches production in seconds
- The audit always ready — zero manual reconstruction in the processed cheese plant.
- The audit always ready, with nothing to reconstruct
- The audit dossier that builds itself
- The audit file builds itself
- The audit stops being a project and becomes a query
- The audit stops being a two-week project
- The autoclave panel, digitized without touching the machine
- The batch exists at second zero: production order and drying load without paper
- The batch log stops dying on paper
- The boiling curve, digitized without touching the vacuum pan
- The brand changeover stops being signed blind
- The brand changeover stops being signed off blind
- The changeover to certified organic sugar does not start without evidence
- The changes arriving by email stop being read late
- The coder and labeler integrated with iLEAN — the operator stops typing the SKU change.
- The coder prints what the ERP says, with no typing
- The defect invisible here and visible at the customer’s home
- The dock supervisor speaks and iLEAN listens
- The drum roaster is still the same machine, but now it talks
- The drying chamber starts to talk without anyone touching it
- The earpiece that returns the shift’s knowledge to the system
- The email that prevents a changeover made in vain
- The evidence pack of the cleaning between gluten / gluten-free batches — the AOECS audit stops being a sprint.
- The flavor changeover does not start without evidence
- The human gate that keeps your ERP master data clean
- The human gate that makes all plant AI signable
- The industrial bakery line with AI — from mixing to packing, without paper as the glue.
- The lab sheet enters the ERP on its own
- The lab spreadsheet posts itself into the ERP
- The lab spreadsheet reaches the ERP on its own
- The lab's Excel is not the problem — it is that nobody on the ERP sees it.
- The lab's Excel is not the problem — the problem is that nobody in the ERP sees it.
- The laboratory stops transcribing: from Excel to the ERP at second zero
- The laboratory stops typing the same thing twice
- The last piece before the customer stops depending on typing
- The line does not start until Edge and quality give OK — the critical changeover in a processed cheese plant.
- The line does not start until the brand changeover is clean
- The line does not start until there is evidence, not just a signature
- The lot travels on its own from order to bag
- The master distiller talks while he walks
- The notice read late today, resolved before the tanker arrives
- The old slicer also talks — Connect on the control panel, without touching the machine.
- The paper delivery note should not block the truck's unloading.
- The pasteurizer stays the same — but now it talks
- The raw sugar certificate of analysis, turned into an operational signal
- The refinery shift log, digital from second zero
- The returnable bottle washer starts to talk
- The roast log stops taking eight hours to exist
- The same selection criterion at seven in the morning and at the end of the shift
- The section lead can't be in five places at once — his AI earpiece can.
- The section lead cannot be in five places at once — their AI earpiece can.
- The shift quality sheet stops being retyped by hand
- The supplier's email at 8:14 can't wait for the purchasing manager's first free slot.
- The supplier's email at 8:14 cannot wait for the purchasing manager's first free moment.
- The twenty-year-old panel that finally speaks
- The vat sheet stops living in a lab coat pocket
- The yard stops losing hours to keying
- Three machines stitched to the ERP — one tap changes the SKU on all three
- Traceability starts at the dock, not at the vat
- Two modern machines that finally talk to each other
- Uneven seasoning and foreign bodies caught before packing — nothing odd makes it into the bag.
- Uneven seasoning and foreign bodies detected before packing — nothing odd reaches the bag.
- What the process lead sees while walking stops being lost
- What the shift lead knows stops evaporating every eight hours
- Wild-catch fishing traceability with AI — the chain does not break in the plant, it breaks at the dock.
- Wine vintage traceability with AI — a vintage is worth twice as much when you can prove it.
- With the spreadsheets you already have, a near-optimal plan in a morning. With the full network, the optimum.
- Yogurt fermentation control with AI — stop the curve at the exact point, not five minutes later.
- Yogurt line control with iLEAN Edge — 600 cups/min, every one inspected, none out of spec through to palletizing.
- Zero labeling recalls
- Zero labeling recalls — the iLEAN agentic system.
- Zero off-spec sugar leaving the plant
- Zero pallets shipped unreleased and without verified marking
- Zero recalls and zero rejections at destination: the five verification rings
- Zero recalls for labeling, denomination or allergen
- Zero variance across plant, distribution centers and route
European cheeses (30)
- A Digital Product Passport for every PDO cheese wheel — without slowing the ripening room.
- Alkaline phosphatase test after pasteurization — the data out of the lab notebook.
- Blue veining in Stilton PDO — verifying the piercing before the cheese goes into the cave.
- Brie and Camembert — the affineur's eye, extended to every piece in the cellar.
- Casein mark traceability per wheel in PDO Parmigiano Reggiano — a dossier per wheel, not an Excel per shift.
- Continuous audit of the Comté AOP cahier des charges — the inspection does not catch you out, you are already inside.
- Controlling Penicillium roqueforti inoculation in Roquefort AOP — the mold is the signature, and a signature is not improvised.
- Controlling the aging of Gorgonzola DOP in natural caves — humidity, CO2 and needles, without touching the cave.
- EU Reg 853/2004 on raw milk for export cheese — a live temperature log, not the tanker's notebook.
- EU Regulation 2024/1143 in a PDO/PGI dairy — the specification changes, the dossier does not fall behind.
- Eye formation in Emmental AOP — anticipating the warm room before the defect is born.
- Feta PDO — the file for the barrel and the tanker, closed at second zero.
- Filatura control for PDO Mozzarella di Bufala Campana — the filatore's hands, assisted by vision.
- Fixed-weight cheese slicing — bring giveaway down without risking underweight.
- Gouda brine control with AI — the curve signs off, the person validates.
- Grated Parmigiano and Grana Padano PDO — granulometry within specification, without stopping the belt.
- Halal and kosher rennet traceability — one certificate per wheel, not per act of good faith.
- Halloumi PDO — hot whey cooking and the sheep-goat blend, watched batch by batch.
- Idiazabal PDO — the craft of beechwood smoking, assisted by a camera that never blinks.
- Industrial Cheddar — the belt never stops, and the acidity curve drifts before anyone has time to correct it.
- Listeria environmental program in soft cheese — the swab where the risk is, not where the grid says.
- Mahón-Menorca PDO — the fogasser fold does not show up on the scale, it shows up on the cloth.
- Manchego PDO cheese — Manchega breed, farm of origin and Regulatory Council, signed from second zero.
- Morge in Munster AOP — the master affineur's craft, replicable wheel by wheel.
- OEE in a multi-PDO cheese plant — the changeover between European formats stops eating hours.
- Payoyo cheese — "which goat is this cheese from?" should not be a question without a concrete answer.
- Predictive maintenance for cheese vats — the batch of milk is saved before the breakdown.
- Rind scraping in ripening — the veteran's eye inside the system, with no over-scraping.
- Tetilla PDO — shape cannot be fixed in the ripening room: you either catch it at demolding, or it is PDO scrap.
- Torta del Casar PDO — thistle rennet does not perform the same every day, and the creaminess tells you weeks too late.
Iberian (20)
- Bellota/cebo grading in the montanera — the vet's eye, amplified, with no animal slipping through.
- Botillo IGP Bierzo smoking and curing with AI — you don't replace the traditional smokehouse, you measure it.
- Catalan fuet white bloom Penicillium with AI — the bloom needs a hundred eyes, not one.
- Chorizo cular IGP Salamanca with AI — the specification is met in the cellar, not on paper.
- Cured Iberian lomo, curing and weight loss with AI — every extra point of weight loss is expensive lomo going out as thin air.
- Digital probe tasting of Iberian ham with AI — the taster's verdict, piece by piece.
- Iberian breed purity verification 100/75/50 — the vet's eye, extended to every animal.
- Iberian ham slicing in a white room with AI — fat, bone and marbling slice by slice, pack weight intact.
- Iberian salchichón lactic fermentation with AI — the pH curve is decided in the first few hours.
- Mite detection in ham drying rooms with AI — sweep the chamber before release to market.
- Montanera weighing — the number that decides whether an animal qualifies as acorn-fed, tied to the ear tag at second zero.
- PDO Dehesa de Extremadura — bellota-cebo traceability per piece, not per aggregated batch.
- PDO Guijuelo — audit day arrives with the dossier already done, not with the plant queuing up to build it.
- PDO Jabugo cellar curing with AI — governing the curve without replacing the master.
- PDO Los Pedroches bellota 100% — the premium category is defended pig by pig, not batch by batch.
- RIBER traceability for Iberian ham — tying the dehesa to the seal, without the batch close costing a week of spreadsheets.
- Skin packing of Iberian ham slices — the micro-leak you cannot see becomes a return from the shelf.
- Sobrasada IGP Mallorca — you do not touch the curing curve, you watch it better.
- The Iberian color seal — a wrongly placed color is not an operator slip, it is a non-conformity.
- Trimming and dressing of cured ham with AI — the last pass, without losing the piece.
Premium seafood (20)
- A nitrite creeping up at 4am on a Saturday should not depend on who happens to be on shift.
- Biofouling is closing the net, oxygen is dropping, mortality is climbing — and nobody sees it until tomorrow's count.
- Bluefin tuna fat grading at the auction hall — the veteran's eye retires, the judgment stays.
- Cooked mussels with closed shells — the belt crew should not have to catch every single one.
- Denia and Palamós red shrimp — from the boat to the restaurant, without losing whose it is.
- Grading Huelva white shrimp — reliable pieces/kg without weighing piece by piece.
- Grading Skrei into A and B cannot depend on how tired the last shift of the season is.
- High FCR in seabass and seabream — every kilo of feed that sinks to the bottom is margin thrown away.
- Individual traceability for almadraba bluefin tuna — one lost tag is one fish out of the market.
- IQF prawn — the ice crystal decides the quality, not the packaging.
- PDO Galician mussel depuration — the batch dossier is not rebuilt; it assembles itself as you go.
- Seabass and seabream with a defect that reaches the pack — the retailer sends it back, and your brand pays for it.
- Smoked salmon fillet inspection — the line speed does not wait, and neither does the operator's eye.
- The batch file for the inspector should not cost the quality team a full working day every time.
- The bluefin tuna cold chain — histamine gives no warning, sensors do.
- The filleting operator has both hands busy — traceability cannot wait until the end of the shift.
- The MSC dossier for a Skrei batch takes hours to build by hand — and days to rebuild when the auditor calls.
- The Norwegian salmon IQF tunnel — right core, a fillet that sells; wrong core, expensive scrap.
- The salting master knows which barrel is ready — but she cannot taste them all today.
- Vannamei shrimp farming — the night that takes out a whole cycle should not catch you asleep.
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