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Artificial Intelligence · Major Project
E-Commerce Price Negotiation Chatbot
Haggles with shoppers without ever crossing the seller's floor price
3-4 weeks build
Overview
A storefront chatbot that negotiates price in plain language. It reads the shopper's offer from their message, then a strategy engine decides whether to accept, counter or hold, using per-product floor prices, stock level and how many rounds have passed. The floor is enforced in code, never left to the language layer.
What makes it stand up
- 01Offer extraction from free-text messages in rupees
- 02Rule-based concession strategy with configurable step sizes
- 03Hard floor price enforced outside the dialogue layer
- 04Seller dashboard for floors, margins and negotiation logs
- 05Simulation script that tests strategies against scripted buyers
Module breakdown
- 01
Catalogue
Products with list price, floor price and stock.
- 02
Message parsing
Intent and amount extraction from shopper replies.
- 03
Strategy engine
Accept, counter or hold decisions per negotiation round.
- 04
Storefront
React product pages with the negotiation chat inline.
- 05
Analytics
Deal rates, average discount and round counts per product.
After this, you will be able to
- Explain how the concession strategy converges
- Defend why the floor price is not left to the model
- Demo a full negotiation ending in a closed deal
Technology stack
- Python
- FastAPI
- scikit-learn
- React
- PostgreSQL
- Level
- Major Project
- Domain
- Artificial Intelligence
- Build time
- 3-4 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support