Check stock and lead times for a parts list
For each part on an Excel bill of materials, stock, price, and lead time from distributor sites go into its row, and hard-to-source parts are flagged.
- Runs on your own PCs and servers
- Use Azure OpenAI, Amazon Bedrock, Google Vertex AI, or an in-house model
- Its engine is Descarty's open-source Dagu (GPL-3.0)
The problem today
For every prototype or production run, staff search hundreds of parts one by one on distributor websites and copy stock and lead times into a spreadsheet. Stock changes while they search, so shortages are found late.
The workflow in Kitewell
- Open the bill of materials workbook and run each part number and quantityAutomatic
- Search each part on each site and collect stock, price, and lead timeWeb
- AI flags parts short of the required quantity or with long lead timesAI judgment
- Staff decide on alternatives or suppliers for hard-to-source partsHuman task
- Write stock, price, and lead time into each row of the bill of materialsAutomatic
What AI does
Reads stock, price, and lead time from each site's own layout, and judges which parts will be hard to source against the required quantity and date.
Where people decide
For parts flagged as hard to source, staff consider alternatives and decide where to order.
Prove Kitewell on your own systems
Try it free for 14 days on your own PC. To see it working first, ask for a 30-minute demo. There is also a one-month onboarding (¥500,000 before tax), where we build your first job together.
What to check when you try this work
- Whether part searches and stock and lead-time reading run reliably on the target sites
- Whether the quantity and lead-time criteria match how procurement works
- Whether the target sites' terms of use allow automated lookups
How the onboarding runs
- Week 1Requirements and success criteria
- Weeks 2 to 3Build
- Week 4Verify on production screens
- Final dayReport
One-month onboarding
- Length
- One month
- Cost
- ¥500,000 (tax excluded). Your staff build, with the developer beside them
- If you go on to a license
- The onboarding fee is credited to the first year's contract
- Without the onboarding
- At Team scale, start on Team monthly (¥14,800 per computer a month, tax excluded), and cancel in any month
You can try it first on your own PC, in the free 14-day trial.
Frequently asked questions
- May a tool look up parts on distributors' sites automatically?
- It depends on each site's terms of use. The PoC checks them, and automates only the sites that allow automated lookups.
- Do our documents and screens leave the company?
- Kitewell runs on your own PCs and servers, and Descarty never receives your business data. You choose the AI model: a cloud API, or an in-house or local model with an OpenAI-compatible API. With an in-house model, no data leaves the company. With a cloud model, what the AI reads is sent to the model's provider.
- What if the AI misreads something?
- A person checks what the AI produced before the work goes on. In a sheet, every value the AI reads shows the quote it came from, and rows below your confidence threshold go to a person. Reviewers can send work back with notes on what to fix, and who approved what is kept in the run history.
- What happens when a screen changes or a run stops?
- When a screen changes, the AI reads it again, relearns the step, and carries on. The relearned step is saved, and later runs repeat it. If a run still stops, ask the assistant right there, and it finds the cause and proposes a fix. A proposal is not saved until a person applies it.
- What happens to the RPA and systems we use today?
- Keep them. Kitewell operates screens the way a person does, so it works with systems that have no API. Move the robots that keep stopping and the work you gave up automating because it needs judgment, and leave fast, fixed processing in your current RPA.
- What does it cost?
- ¥14,800 per computer per month, or ¥148,000 per computer when paid yearly, before tax. A computer costs the same whether it builds or runs. You can try it free for 14 days. The one-month onboarding, where we build your first job together, is ¥500,000 before tax, credited to the first year if you go on.
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See this work in a demo
A 30-minute demo shows this workflow running. The 14-day free trial lets you check it on your own systems.