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Kliv is an AI app builder. Describe a grocery inventory management system where receiving, date rotation, shrink, cycle counts, and order sheets share the same item records.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a warehouse inventory product you sign up for and configure — it’s an AI app builder that creates custom software for you.
You describe what you need in plain words, and Kliv builds the real app: the data, the logic, the screens, and the workflows. You own the result, you can change it later by asking, and you run it on your own accounts. It isn’t a template with your name on it.
On this page, that app is a grocery inventory management system for receiving, batches, dates, shrink, cycle counts, transfers, and suggested orders. Kliv builds all kinds of web apps; this page focuses on one useful shape.
A grocery does not count stock like a warehouse. Items sell by the each and by the pound. Cases break into units. Perishable batches have dates. Loss has reasons: waste, damage, theft, and reduced-to-clear.
Kliv builds the system around grocery work. Receiving happens at the door, dates stay on batches, shrink stores a reason and value, and counts feed order sheets.
Six records that replace the back-room spreadsheet.
A case of twelve becomes twelve eaches when received. By-weight items count in decimal pounds. The conversion lives on the item record.
Deliveries are checked against supplier invoices while the truck is there. A missing case becomes a dated shortage with a signature and credit to chase.
Perishable batches keep their expiry dates. Each store gets pull lists before items become unsellable.
Waste, damage, theft, and reduced-to-clear are separate reasons with money values. Month-end shrink is a report, not one unexplained number.
Daily counts can be queued by money at risk. High-risk or high-value items can be checked more often than slow-moving staples.
Suggested orders read current counts, par levels, recent sales, and receiving shortages. The buyer edits a draft instead of building one from scratch.
Here’s how one grocery might use it. It’s only an example — you would describe your own stores, suppliers, units, dates, shrink reasons, and ordering rules.
Halima receives a dairy delivery against the supplier invoice. One yogurt case is missing, so the shortage is logged while the driver is still there and the credit request is emailed.
Received cases break into eaches, and each batch keeps the date it arrived with. Staff do not calculate conversions by hand.
Saturday morning’s list shows everything expiring by Monday. Six tubs move to reduce-to-clear, and the shrink log records the reason and value.
The count queue asks for Greek yogurt. The shelf says four and the system says nine. Halima records the variance instead of overwriting it, then sees the same gap repeat on one shelf.
The suggested order includes current counts, weekend sales, and Thursday’s shortage. Halima changes two lines and sends it.
Kliv builds from your description, so the more detail you give, the closer the first version. Include stores, units, suppliers, count rules, shrink reasons, and reports. Here are three to build on:
Shared catalog and separate counts.
“Build an inventory system for my two-store grocery. Use one shared item catalog, per-store counts and par levels, receiving checked against supplier invoices, transfers between stores, six cycle-count items per store per day, and a Monday order sheet for each supplier.”
Batches, dates, and shrink reasons.
“Build inventory tracking for my produce market. Each batch should carry a received date, expiry date, supplier, cost, and store. Create a 5:30 a.m. pull list, separate waste from reduced-to-clear in the shrink log, and show shrink value by supplier each month.”
By-weight items beside packaged stock.
“Build stock tracking for my grocery with a butcher counter. Track by-weight items in decimal pounds, PLU codes for scale labels, case-to-each conversion for packaged goods, and cost and margin reports visible only to managers.”
The morning email names the first shelf. A scheduled job builds each store’s pull list before opening and sends it to that store.
The register can stay the register. Your point of sale can export sales at night. Kliv can import that file and decrement counts, so inventory reflects the rush without replacing the till.
Roles match the job. A counting login can see quantities without costs. Managers see cost and margin. Store one and store two keep separate counts with one shared catalog.
The spreadsheet was the first version, not the mistake. What prototypes become on Kliv is the longer story.
Kliv is an AI app builder. You describe the grocery inventory management system you need, Kliv builds it, and you own the result.
A real app. Kliv builds the database, the logic, and the screens for your specific case — not a theme or preset workflow you fill in.
Yes. You ask for changes in plain words, and Kliv updates the app without making you start over.
No. Your register can keep taking sales. Kliv can import the nightly sales export and use it to decrement inventory counts.
Yes. One item list can feed counts, par levels, pull lists, and order sheets per store.
Items sold by the pound can use decimal units and PLU codes. Receiving books weight in, and sales draw weight down.
Yes. Perishable batches can carry dates from receiving, and the system can generate pull lists before they expire.
Yes. Waste, damage, theft, and reduced-to-clear can be separate reasons with money values for reporting.
Whoever your roles allow. Counting staff can see quantities, while managers see cost, margin, and ordering reports.
Yes. A USB barcode scanner behaves like a keyboard, so receiving and counting screens can accept scans.
Yes. Your records are yours, and the app’s source syncs to your own Git repository.
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Describe your stores, suppliers, units, dates, shrink reasons, count rules, and order process. Kliv builds the grocery inventory system around those records.