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Procurement & distribution

Parsers → Analytical Registries

Offers from email, WhatsApp and PDFs become a clean price registry with trends and supplier ratings

A supplier offer arrives twice, as a chat message with a typo and as a PDF. It is extracted, the typo “cartrige” is corrected to “cartridge”, the price €45, MOQ 200 and confidence 0.93 are filled in, and the duplicate is merged into one registry row.

Supplier inbox

WhatsApp · Supplier A

Hi! Toner cartrige 12K — €45 each, MOQ 200 pcs. Ships in 5 days.14:02

Email · attachment · Supplier A

price-list-q4.pdf2 pagesLaser toner 12K, black · EUR 45.00
Extraction card
Product

Toner cartrigecartridge 12K

Price
€45
MOQ
200 pcs
Lead time
5 d
Supplier
Supplier A
Confidence0.93
Offer registry
Toner cartridge 12K3 offers · min €45
SupplierPriceMOQLead time30-day trendTrend
Supplier Aduplicate merged ×2€45200 pcs5 d
Supplier B€47100 pcs7 d
Supplier C€4950 pcs4 d

The problem

A distributor gets hundreds of supplier offers in messengers and email — prices get lost and manual comparison takes forever.

How it works

  1. 01

    Collect from email, WhatsApp, Telegram, PDF and XLSX

  2. 02

    AI extraction of the fields, with typo correction

  3. 03

    Validation and deduplication — the row lands in the registry

  4. 04

    Price analytics and sync with CRM and ERP

Features

  • Multichannel ingestion
  • Fuzzy matching and synonyms
  • A validation queue for unknown products
  • Price trends, supplier rating, savings tracker
  • A “Check price” button inside the CRM and ERP sync

Platforms

Web apps

Stack

PythonFastAPIPostgreSQLRedisCeleryOpenAIStreamlitPlotlyNode.jsOdooBitrix24

Results

No manual parsing

supplier messages from email and messengers are processed automatically, every day

Let’s talk about your project

Tell me about your task — I reply within a day.