mapular.ai

Manufacturing & Machine Builders · Pipeline & Revenue Agents

Quote requests researched and routed before the competitor replies

Every machine builder knows the pattern: an RFQ arrives, key specs are missing, an engineer chases details for a week, and the quote goes out late, if the request deserved a quote at all.

Engineering hours are the scarcest resource in the company, and they leak into requests that were never going to close.

RFQ run

Continuous

  1. Intake

    RFQ parsed. Missing specs identified immediately.

  2. Research

    The account and the application, researched.

  3. Qualification

    Fit and win-chance scored against your criteria.

  4. Follow-up

    Spec-clarification email drafted in your voice.

  5. Your engineers

    Quote the winnable ones.

One RFQ, from raw email to quote-ready.

Works with what you run

Typical machine-builder stacks we build into. If it has an API, agents can work inside it.

ERP

  • proALPHA
  • abas ERP
  • ams.erp
  • SAP Business One
  • Microsoft Dynamics 365 Business Central

RFQ intake & CRM

  • Shared inboxes (Outlook, Gmail)
  • Website contact forms
  • Procurement portals
  • Salesforce
  • HubSpot

No CRM yet? Quotes tracked in the ERP or in Excel is the normal starting point. The diagnosis maps what you have; nothing needs replacing first.

What we measure with you

  • Time to first response on RFQs
  • Share of RFQs with complete specs before engineering touches them
  • Qualification precision against your sales engineers' judgment
  • Engineering hours returned per week

Who this fits

Machine builders and industrial manufacturers where custom quotes need engineering time.

Same terms as everything we ship: fixed price quoted after the diagnosis, evaluated on your real data, and you own everything at handover.

Sounds like your manufacturing & machine builders reality?

A 25-minute call tells you whether it fits, what it would measure in your case, and what it would cost.