
Spare-parts substitution review desk
Make missing substitution evidence explicit before ordering.
- For
- Industrial maintenance procurement teams
- Solves
- Alternative parts are considered without complete compatibility evidence.
- Delivers
- Engineer-reviewed substitution comparison
- Built in
- about 4 weeks of creation time, MVP in 4 days
- Investment
- $15,500 for the MVP, $50,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For industrial maintenance procurement teams, turn approved specifications and supplier datasheets into engineer-reviewed substitution comparison.
- Extract specified attributes.
- Compare dimensions.
- Flag missing tolerances.
- Link certifications.
- Draft supplier questions.
- Export review matrix.
What goes in, what comes out
- Approved specifications
- Supplier datasheets
AI drafts, people review. Structured comparison and clarification workspace.
- Engineer-reviewed substitution comparison
How it works
The workflow
- InStart with
Approved specifications and supplier datasheets
- 1
The buyer creates a project
- 2
Supplies approved specifications and supplier datasheets
- 3
Confirms scope and access
- OutFinish with
Engineer-reviewed substitution comparison
AI does the heavy lifting, people stay in charge
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.
What your team sees
Key screens: Part requirements, Evidence comparison, Engineer questions. 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.
Accounts and administration
Document versions, field definitions, source references, reviewer corrections, unresolved questions, comparison history and exportable matrices. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
Integrations and data access
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.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
4 daysOne buyer segment, one recurring use case; first modules: extract specified attributes; compare dimensions. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
5 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
10 daysSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will industrial maintenance procurement teams use it to solve "alternative parts are considered without complete compatibility evidence"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track unverified attributes and engineering review time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. 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.
After the MVP. After paying customers repeatedly accept engineer-reviewed substitution comparison, automate link certifications; draft supplier questions; export review matrix. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Document comparison; engineers approve compatibility and safety.
What the build depends on. Document alignment, field provenance, unit normalization, missing-value handling and reviewer correction. Similar-looking documents may contain materially different terms. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Document comparison; engineers approve compatibility and safety.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: extract specified attributes; compare dimensions. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$50,000about 4 weeks of creation time · start with the MVP from $15,500
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $50–$100 | $80–$160 |
| Full productabout 50 customers | $110–$210 | $350–$700 | $460–$910 |
Run it or resell it
For your own team
Industrial maintenance procurement teams run it inside the business: approved specifications and supplier datasheets in, engineer-reviewed substitution comparison out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#3f2791 - accent
#bcc954 - surface
#e7e4f1 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Calm, reliable, step-by-step
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 300-1,500 for one bounded comparison package, then USD 150-600 monthly for recurring volume with review limits. Complex expert interpretation is separately priced. Figures are hypotheses. For this buyer, package the first sale around compare three candidate parts and the defined engineer-reviewed substitution comparison. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Make missing substitution evidence explicit before ordering. Demonstrate the result with compare three candidate parts for industrial maintenance procurement teams. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Maintenance associations and parts distributors
Lead magnet
Compare three candidate parts
The first 30 days
- Week 1: interview five prospective buyers from industrial maintenance procurement teams and inspect how they handle alternative parts are considered without complete compatibility evidence.
- Week 2: prepare compare three candidate parts using authorized or synthetic material.
- Week 3: share the demonstration through maintenance associations and parts distributors and seek one bounded paid pilot.
- Week 4: measure unverified attributes and engineering review time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run compare three candidate parts and deliver engineer-reviewed substitution comparison. Compare unverified attributes and engineering review time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.
Success metrics
Unverified attributes and engineering review time
Retention and expansion
Build repeat use around engineer-reviewed substitution comparison. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unverified attributes and engineering review time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Why clients would pick it
A niche comparison schema, reviewed extraction examples and clear handling of the differences that matter to a specific buyer. For this concept, accumulate permissioned examples and reviewer corrections around make missing substitution evidence explicit before ordering. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Spreadsheet comparisons, professional reviewers, document diff tools and manual quote or contract review. Position this concept around make missing substitution evidence explicit before ordering. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.
Main delivery costs
Document parsing, field alignment, source verification, expert interpretation, clarification rounds and changing document formats. Initial validation additionally budgets for engineering review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
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.