Smart Shopping Engine in Telegram
Development of back-end components of a search and recommendation algorithm for processing the natural language of the prototype. The NLP development task is broadly: Development of back-end components of a search and recommendation algorithm for natural language processing of a software solution prototype for finding and registering profitable purchases based on recommendations in Telegram communities using a bot (virtual assistant). Some of the components of the search algorithm are implemented by the Digital Shop, and the full-text NLP search is implemented by iPavlov.
Technical Architecture
Technology
Tech Platform
Digital Transformation Domain
Project Type
Service Model
Technology Readiness Levels
Software Requirements Specifications Overview
Questions for discussion of the technical implementation of NLP search:
iPavlov's NLP toolkit for natural language processing and the possibility of full-text search in messengers (databases downloaded from messengers), suitable for our task
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Digital Transformation Domain
Unit Cost
Error: #N/A
Pricing Model
Semi-annually
Economic Impact
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
KEY CLIENT & CUSTOMERS
PROJECTED SALES METRICS
Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities
Social & Environmental Impact
INVESTMENT RETURN & SUSTAINABILITY
PRODUCT SUPPORT COSTS
INVESTMENT RETURN
Marketing Communications
Marketing Materials and Resources
License Tiers
Commercial Channels & Digital Marketplaces
Project Media Gallery & Video Demonstrations
Careers Anchor
Executive Roles
My Companies
Career Trek
Career Recognition
Project Biography