Document Intelligence + Automation
AI Product Pricing Assistant
A Telegram-based pricing assistant that accepts an item name, retrieves relevant data from business documents, applies pricing logic, and returns a calculated selling price.
Pricing Assistant
Item to price
Live activity
Auto
Lookup
Applied
Rules
Instant
Reply
Section 01
The Problem
Cost data is buried
Purchase prices sit inside invoices and supplier documents nobody wants to open.
Manual price maths
Margins, taxes and rounding are applied by hand for every item.
Inconsistent pricing
Two people pricing the same product often land on different numbers.
Slow answers
A simple 'what should we charge?' can take a long search to answer.
Section 02
The Solution
Telegram Item Query
Send an item name and get a price back.
Document Search
The right source document is located automatically.
Data Extraction
Cost and product fields are pulled from the file.
Product Identification
The correct item is matched even with loose naming.
Business Pricing Rules
Your margin and rounding logic applied consistently.
Selling Price Calculation
A final, ready-to-quote number is produced.
Instant Response
The answer comes straight back in the chat.
Section 03
How It Works
Section 04
System Architecture
Telegram
Request and delivery channel
n8n
Coordinates retrieval and calculation
Document Retrieval / Extraction
Finds and reads the source data
Pricing Logic
Margin, tax and rounding rules
Result
Calculated selling price returned
Document intelligence
Unstructured supplier files become structured fields — product, cost, unit — which the pricing rules can act on without a human reading the document.
Section 05
Tech Stack
Telegram
Conversational interface
n8n
Workflow orchestration
Document Extraction
Reading business files
APIs
System integrations
Pricing Logic
Business rule engine
Section 06
What This Project Demonstrates
Document Intelligence
Making unstructured files machine-readable.
Data Extraction
Reliable field-level extraction at scale.
Business Rule Automation
Consistent logic applied every time.
Conversational Automation
Complex work behind a one-line request.
Let's build
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