An AI-driven microservice that powers a quoting widget for B2B content publishers. It uses AI to parse and normalize unstructured user inputs (e.g., comma-separated list of desired publications, shorthand, misspellings) against a master catalog and then applies pricing rules and discounts to generate an instant, structured quote in JSON format.
A corporate librarian enters 'WSJ, NY Times, The Econ, 50 seats' into a web widget. The AI normalizes the inputs to their official product names, retrieves the list prices, applies a 20% discount plus a platform fee, and instantly returns a detailed quote, ensuring speed and margin control.
Python/JavaScript, LLM for input parsing (GPT-4), Web Widget, RESTful API
This solution requires careful evaluation of cost-benefit ratio. Consider implementation only after thorough analysis and risk assessment.
AI Lab Australia provides professional AI-Driven Publisher Pricing & Quoting Engine implementation services throughout Australia. Our expert team delivers process automation (rpa) solutions tailored for Australian businesses in Media and related industries.
With high implementation complexity and high business impact, this solution typically requires 2-4 weeks for full deployment.
Our Australian-based team understands local business requirements, compliance standards, and market conditions for successful AI-Driven Publisher Pricing & Quoting Engine implementation.
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