AI-Powered Tender Analysis
Project Overview
An AppSheet system leveraging a multi-agent AI workflow to analyze tender documents. It automates product extraction from text and images, compliance verification, and SKU matching using an advanced query engine to accelerate bidding.
Workflow Details
Document Ingestion & Multi-Modal OCR
The AppSheet app initiates an automated workflow, sending the tender PDF for advanced OCR that processes both text and structural elements.
AI Image Analysis for Product Identification
An AI agent analyzes images within the tender (e.g., product photos, technical diagrams) to extract visual features, identify components, and supplement text-based specifications.
Contextual Product & Specification Extraction from Text
A specialized AI agent parses the structured text to identify and extract all potential products, components, accessories, and their detailed specifications as stated in the tender.
Automated Compliance Verification & Research Query Generation
The AI reviews extracted product details against global industry standards (NIJ, VPAM, etc.), identifies areas needing clarification, and formulates targeted research questions.
Optimized SKU Matching via AI Query Engine
Utilizing an AI-Powered Query Engine, this step intelligently queries the AppSheet product database. It understands the schema, performs iterative semantic searches, and employs fallback strategies to find the most accurate SKU matches for tender items.
Final Report Synthesis & AppSheet Integration
A final AI agent synthesizes all findings, including SKU matches, compliance notes, research answers, and any discrepancies, into a structured JSON report. This report updates relevant tables in AppSheet, completing the analysis.