Product Verification & Authentication
Kliv is an AI app builder. Describe your registry — batches, codes, shipments, verification events, duplicate-scan flags, and expiry holds — and it builds it.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a track-and-trace suite — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the data, the workflow, the screens, and the rules. What you get is a real web app that’s yours, with public verification pages on your own domain and private review screens for your team. You can change it later by asking. It isn’t a template.
On this page, that app is a registry for product codes, scans, shipments, flags, and expiry holds. Kliv builds all kinds of web apps; this is one example.
A distributor may not need a multinational compliance platform. It may need to know which packs are real, which shelves they reached, which codes have been checked, and which lots expire soon.
Kliv builds that as a registry: your batches, your codes, your shipments, and your review rules. A code that does not exist, appears twice, shows up off route, or belongs to an expiring lot becomes data the team can act on.
Five records tell the story of each pack.
Manufacture date, expiry date, and quantity sealed live on the batch. Downstream expiry rules read this record.
Each pack gets one random scratch code with a state such as unused, verified, or flagged. A code missing from the table was never issued by you.
Every check writes who, where, and when. The lookup log is the dataset that duplicate and route checks read.
Shipments record which wholesaler received which code ranges. A code verified far from its assigned range can be flagged with the shipment attached.
Lots inside the expiry window move to a held state, and a held lot cannot be picked onto an order sheet.
Here’s how one distributor might use a verification system built with Kliv. It’s only an example — you would describe your own products, code rules, shipments, flags, and expiry windows.
A scratch code verified in one town on Monday is verified again 200 kilometres away on Wednesday. Two events on one code become the alarm, and the second caller sees that the code was already used.
The code’s shipment row names the wholesaler and range. Nearby codes go onto a watch view in case the copy came from a real carton.
A field rep photographs the suspect pack at the shop. Photos and notes file onto the case with access limited to the quality team.
A scheduled sweep finds a batch 90 days from expiry and moves it to held. Slow-moving shops get a pull list.
Each affected wholesaler receives an email listing the ranges assigned to them, not other distributors’ data.
Kliv builds from your description, so the more detail you give, the closer the first version. Include batches, codes, scan rules, routes, evidence, and expiry windows. Here are three examples:
Public verification with logged lookups.
“Build a public verification page for our veterinary medicines. A buyer should type the scratch code from a pack and see genuine, already used, expired, or unknown. Every lookup should log time, approximate location, and result for our quality team.”
Batch holds and pull-list emails.
“Build an internal expiry tool that tracks every batch’s expiry date, moves lots to held status at 90 days out, blocks held lots from order picking, and emails each sales rep a pull list for the shops they cover.”
Shipment registration and suspect-pack reports.
“Build a dealer portal where authorized dealers register received shipments by code range, report suspect packs with photos and notes, and see verification history only for the codes assigned to them.”
The public check page is the sensor network. A verification page on your own domain takes a buyer ten seconds and creates the scan events every flag rule reads. No app install is required.
Flag rules are functions you can state plainly. “Same code twice,” “verified outside its shipped region,” and “three unknown codes from one shop in a day” can each become server-side checks that create a review item. A human still separates counterfeit cases from typos.
The case file holds evidence. Photos, notes, and a code’s full history stay together with access rules. The quality team reads the case, while a wholesaler sees only what concerns them.
A tool that defends a label is usually custom because the label, batches, and routes are yours. The internal tools born custom share that pattern.
Kliv is an AI that builds custom web apps from a description. For product verification, it builds the code registry, public check page, flag queue, case files, and expiry rules.
A real app. It is built around your products, batches, code rules, shipments, dealers, and expiry windows.
Yes. Ask for a new flag rule, expiry window, dealer role, or case-field change, and Kliv updates the app.
No. The registry does the detecting: a missing code, reused code, off-route scan, or expired lot is the signal. Photos are evidence for the case file.
Codes are long and random, so a guessed one is unlikely to exist. Failed lookups are logged too, so repeated unknown codes from one shop can be flagged.
No. The public page checks a code without sign-in. Dealers who register shipments and reports can have logins scoped to their own ranges.
Expiry lives on the batch row. A scheduled job compares dates, moves lots to held status, and sends pull lists.
Yes. A held lot can be excluded from order picking so it cannot be added by someone packing in a hurry.
No. Access can be scoped so a wholesaler sees only their own code ranges and cases.
Yes. The verification page can live on your own domain.
Yes. The code syncs to your own Git repository, and your registry records can be exported.
Yes. Verification events can record the code, time, approximate location, and result for review.
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小規模レストラン向けの予約管理サイトです。
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Describe your packs, codes, shipments, scan rules, and expiry windows. Kliv builds the registry that checks every code.