Complete AI Training

AI app for operations · no coding needed

Spare-parts substitution review desk

Make missing substitution evidence explicit before ordering.

Made for: Industrial maintenance procurement teams

What Spare-parts substitution review desk looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Alternative parts are considered without complete compatibility evidence.

What it gives you

Engineer-reviewed substitution comparison

What you give it

Approved specificationssupplier datasheets

How it works, step by step

  1. Extract specified attributes
  2. Compare dimensions
  3. Flag missing tolerances
  4. Link certifications
  5. Draft supplier questions
  6. Export review matrix

What you see on screen

  • Part requirements
  • Evidence comparison
  • Engineer questions

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Spare-parts substitution review desk with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Spare-parts substitution review desk with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links1 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare22 KB
  • prompt-vps.mdThe same build on your own server (Docker)22 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
  • demo/index.htmlThe working demo on sample data193 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

For industrial maintenance procurement teams, turn approved specifications and supplier datasheets into engineer-reviewed substitution comparison. Address this specific problem: alternative parts are considered without complete compatibility evidence. The aim: make missing substitution evidence explicit before ordering. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies approved specifications and supplier datasheets, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final engineer-reviewed substitution comparison before use. Retain source links and a version history for the next cycle.

How the AI works

Extract specifications without declaring interchangeability. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Make operational states and ownership explicit. Validate data and require appropriate approval before purchases, scheduling commitments or external system writes. Document comparison; engineers approve compatibility and safety. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: Document comparison; engineers approve compatibility and safety. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract specified attributes; compare dimensions. Support the third task through an assisted review queue: flag missing tolerances. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of engineer-reviewed substitution comparison. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Orders, inventory, supplier files, process documents and workflow records. Document repositories, procurement or contract records and spreadsheet exports. Preserve originals and avoid writing back interpretations without approval. Begin with uploads and exports of approved specifications and supplier datasheets. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Use a side-by-side matrix with the same fields for every document or option. Clicking a value reveals its original passage. Highlight missing, different and uncertain items separately. Provide a clarification queue and reviewer annotations before exporting a decision pack. Open with part requirements; move into evidence comparison for the detailed task; finish in engineer questions for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.