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Sector · Manufacturing

AI for manufacturers who make to order

Quotes, rush orders, information from past jobs and service reports, in minutes and using the information your factory already has in its ERP, spreadsheets and documents.

Does this happen in your company?

  • “Have we done this before?”And nobody can find the quote, the drawing or the decision from two years ago.
  • Does the quote wait for one person?It only goes out when whoever knows the prices is available.
  • Does a rush order upset the week?It goes into the plan without anyone knowing the impact on other deliveries.
  • Does the variance keep coming back?The gap between quoted and actual shows up again, job after job.
  • Is the information everywhere?It exists, but it is split across the ERP, spreadsheets, folders and email.
  • Is the client abroad?Reports and technical documents need to reach them in their language, ready to sign.

Where FairAI fits in, from order to delivery

  1. 1 · Enquiry

    “Have we done this before?” Answered in seconds

    Today
    The answer exists, but it is scattered: a quote in a spreadsheet, a drawing in a folder, a decision in an email from two years ago. Only one or two people remember.
    With FairAI
    Ask in everyday words. FairAI searches spreadsheets, PDFs, emails and images and shows every result with its source.
    • Past jobs found by anyone with access
    • Less reliance on whoever remembers
    • Photos found by what they show, even without tags

    Builds on our workthe search across years of orders, documents and images we built for a ceramics manufacturer.

    See the example working
  2. 2 · Quote

    A technical quote in minutes, not days?

    Today
    To build a quote, someone searches folders and spreadsheets for similar jobs, redoes the maths and waits for the person who knows the prices to be available.
    With FairAI
    The enquiry arrives with the drawing. FairAI finds the most similar past jobs and proposes the lines, with the source of every figure. The estimator reviews, adjusts and sends.
    • Quotes go out even when the most experienced person is away
    • Prices consistent with what the company has charged before
    • Every line shows its source, so it is quick to check

    Builds on our workthe AI quoting in use at Play Planet, connected to its ERP. Read the case study Play Planet

    See the example working
  3. 3 · Order

    “Can we take it?” Answered in minutes

    Today
    When an urgent request comes in, someone goes through spreadsheets and asks several people whether there is capacity. The answer takes time and the impact on other deliveries goes unseen.
    With FairAI
    FairAI simulates the request against the real load and shows options with dates and costs. The planner chooses.
    • Faster, firmer answers to clients
    • Clashes spotted before they happen
    • Impact on other orders shown up front

    Builds on our workthe planning assistant that simulates new orders against capacity and cost.

    See the example working
  4. 4 · Production

    A rush order just came in. Now what?

    Today
    When an urgent order comes in, the production manager redoes the plan in their head or in a spreadsheet, without seeing straight away what gets delayed and what each option costs.
    With FairAI
    FairAI fits the rush order into the current plan and proposes options, each with delivery dates and cost. The planner chooses.
    • Comparable options in minutes
    • Impact on every delivery in view
    • The cost of each option before deciding

    Builds on our workthe planning assistant that simulates new orders against capacity and cost.

    See the example working
  5. 5 · Shipping

    Documents in the client’s language, without waiting for a translator

    Today
    Reports, certificates and manuals come out in Portuguese and someone translates them in a hurry, with technical terms not always right.
    With FairAI
    FairAI translates technical documents into each client’s language, using the terms in your glossary. Whoever knows the client reviews before sending.
    • Any language, the same day
    • Consistent technical terms across documents
    • The client understands what they sign

    Builds on our workthe Spanish and English reports from the service app in use at F. Caixeiro. Read the case study F. Caixeiro

    See the example working
  6. 6 · Service

    Service reports without writing by hand

    Today
    The technician records the visit on paper or from memory, and the report is only ready days later. For foreign clients, it still needs translating.
    With FairAI
    The technician speaks and takes photos at the machine. FairAI reads the text in the photos and fills in the report in the company’s format, also in the client’s language. The technician confirms and both sides sign.
    • Report ready by the end of the visit
    • In each client’s language
    • Signatures sealed against changes

    Builds on our workthe service app in use at F. Caixeiro. Read the case study F. Caixeiro

    See the example working

Not sure where to start? Take the 2-minute assessment

Next step

Let’s look at a specific process

A 30-minute call, online or at your premises, to understand the process and see together whether there is a fit.

Pick a date and time Or take the 2-minute assessment

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