GRADE

Product Configurator Software

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This system automates the process of technically qualifying customer inquiries by rapidly extracting specific constraints, filtering a product catalog through precise deterministic SQL queries, and generating detailed, source-backed responses for sales representatives to review and approve. It offers key features such as natural language parsing of technical specifications, exact constraint screening using SQL, hierarchical product ranking, and generation of extensive replies that include reasons and supporting data, thereby reducing manual effort and increasing response accuracy. Designed for sales professionals and technical support teams, it addresses the challenge of efficiently providing accurate, defensible product recommendations amidst complex, often messy customer requests, ensuring high precision, transparency, and human oversight in the qualification and reply process.

GRADE can be found in Product Configurator Software categories.

The most similar products to GRADE are:

LeadCapture Promoted → Distro →

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Details

GRADE Main Features

• Transparency
  Every product quote comes with a reason and source line for trustworthiness.
• Metric Quotes
  It provides exact quotes from source documents for each number used.
• Human Approval
  The representative reviews, edits, and approves all messages before sending.
• No Missing Data
  It flags any product with missing information and does not send it automatically.
• Quick Assistance
  It quickly finds answers to technical questions in about forty seconds.
• Precise Filtering
  It screens the product catalog using exact SQL filters based on constraints.
• Drafting Responses
  It creates a draft reply with reasons and product quotes for the customer representative.
• Ranking of Products
  It ranks only the products that meet all the rules, keeping duplicates out.
• Automatic Extraction
  It extracts important rules and constraints from customer messages automatically.
• No Automatic Sending
  It never sends messages without a human approving them first.
• Step-by-Step Process
  It works in four clear steps: parse, screen, rank, and draft, with the rep involved at the final step.

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Technologies Used

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