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Case study · Industrial supply · 2023

Approval cycle — four times shorter.

A steel supplier competing on B2B tenders. We pulled requests, specs and approvals into a single pipeline - so reps stopped losing deals in paperwork.

45 → 12
days in the approval cycle
+34%
more tenders won
100%
of requests in one pipeline
amoCRMSenseiE-signingGPT-4o
Steel trading — AI in tender sales
Challenge

Where deals slipped away.

Selling steel in B2B means tenders, specs and multi-step approvals. Requests arrived by email, in messengers and over the phone - and lived in scattered spreadsheets.

While a rep manually built the spec, priced it and waited on sign-offs, the cycle stretched to a month and a half. Some tenders were simply lost on timing.

The goal was to speed up the path from request to quote - and never drop a single lead.

The pain points

  • Approval cycle running up to 45 days
  • Requests scattered across email, chats and spreadsheets
  • Specs priced by hand, slowly
  • Tenders lost because of timing
  • No single view of deal status
Solution

What we built.

01

Merged every request channel (email, chats, phone) into one amoCRM pipeline

02

AI reads the spec straight from the email and drafts the quote

03

Auto-pricing from the price list and live warehouse stock

04

Approvals run through e-signing with auto-reminders to owners

05

A dashboard shows the status of every tender and where it stalls

amoCRMSenseiE-signingGPT-4oSpec parsingIntegrations
Result

Money in the P&L, not model metrics.

45 → 12
days in the approval cycle
+34%
more tenders won
100%
of requests in one pipeline

Faster quotes mean more tenders won from the same flow of requests.

How it looks
— dashboard screenshot
— pipeline screenshot
— call analytics screenshot
Testimonial
“A quote used to take us a week. Now AI drafts it in hours, and we hit the deadlines on tenders we used to skip entirely.”
Sergey Morozov
commercial director · steel trading
07 · Contact

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