A connected suite of AI modules supporting every stage of the procurement lifecycle. Helping teams to reduce manual effort, accelerating procurement processes, and delivering measurable cost and efficiency gains end‑to‑end.

The suite is built around specialized AI modules that address key procurement challenges across the entire flow, each designed to automate critical steps, reduce manual workload, and strengthen decision‑making from the very first data search to final supplier evaluation.

Modules for AI enabled end-to-end procurement flow

  • Knowledge Management & Reporting
  • Contract Value Orchestrator
    Contract Value Orchestrator
  • Engineer-to-Order
    Engineer-to-Order
  • Market Intelligence Monitor
  • Invoice Verification

Module 1

Knowledge Management & Reporting​

AI‑enabled vector database tailored to company specific data, providing a dedicated knowledge base and agent catalog for structured information access and reliable enterprise reporting.

  • GenAI-powered knowledge, built for enterprise decision‑making.

    Enterprise and procurement knowledge is scattered across teams, documents, and disconnected systems. As a result, critical information is hard to find, slow to retrieve, and often inconsistent. Teams spend time on repeated manual searches, struggle to reuse validated insights, and face quality gaps in reporting - creating inefficiencies and slowing decision-making.

    GenAIQ provides an AI-enabled knowledge platform built on a company-specific vector database. It centralizes procurement and enterprise data into a dedicated knowledge base with an agent catalog, intelligently structures and retrieves relevant insights, and serves as a single source of truth—enabling reliable, consistent reporting and faster access to the right information.

Key benefits:

  • Faster access to company‑specific knowledge
  • More consistent and accurate reporting
  • Improved agent and team performance
  • Reduced time to find information and complete tasks
  • Significant reduction in duplicate research efforts

Key features of Knowledge Management & Reporting

  • Data chat

    Ask questions across your knowledge base and retrieve cited, verifiable answers with optional world-knowledge enhancement for deeper insights.

  • Document summarizer

    Summarize PDF documents into topic‑based or full- content summaries, customizable through prompts to match your specific information needs.

  • Document comparison

    Compare two or more documents, define the com-parison focus via prompts, and view all relevant pages side‑by‑side for clear validation of differences.

  • Document upload

    Upload PDFs or Office files for instant processing, or use Advanced Upload to control OCR, page selection, and extraction settings before adding documents to your knowledge base.

  • Table generator

    Extract data from documents into predefined table formats using AI‑driven extraction logic. Create clean, structured tables tailored to your needs with customizable profiles.

  • Agent catalog

    Create and configure custom agent personas, guardrails, and behaviors tailored to your use cases. Shape GenAIQ into the assistant your teams need by defining tone, rules, and playbooks.

  • Agent system builder

    Build automated workflows by orchestrating AI agents that transform, analyze, and route information. Enable low-/no code automation with nested agent steps for reliable end‑to‑end execution.

  • Prompt library

    Save, organize, and reuse high‑quality prompts for consistent, repeatable results across teams. Share categorized prompts to streamline workflows and ensure efficient prompt management.

Module 2

Contract Value Orchestrator

AI‑driven automation of invoices, contracts and online index checks to prevent leakage, generate auditable claims, and turn renewals into negotiation leverage with IT-system- ready actions.

  • AI-powered contract intelligence, built for ERP environments.

    Contract, invoice, and index data is scattered across multiple documents and systems, leading to pricing errors, missed index updates, and value leakage. Inconsistent supplier uplifts and weak renewal visibility delay corrections, while outdated ERP price conditions and regional inconsistencies create compliance and reconciliation challenges. These gaps increase risk, reduce accuracy, and directly impact cost control.

    GenAIQ’s Contract Guardian uses AI-driven automation to continuously check invoices, contracts, and index data to detect leakage, validate pricing, and generate evidence-backed claims. Fully integrated with ERP and purchasing systems, it enables real-time index management, renewal oversight, and audit-ready controls—ensuring accuracy, consistency, and financial protection across regions.

Key benefits:

  • Reduced contract leakage and measurable cost savings
  • Claim-ready, audit-ready data with evidence-backed validation
  • Real-time index and renewal control
  • Improved pricing accuracy across ERP and purchasing systems
  • Faster issue detection and resolution

Key features of Contract Value Orchestrator

  • Entity extraction

    Extract data from documents into predefined table formats using AI‑driven extraction logic. Create clean, structured tables tailored to your needs with customizable profiles.

  • Document comparison

    Compare two or more documents, define the comparison focus via prompts, and view all relevant pages side‑by‑side for clear validation of differences.

  • Agent system builder

    Build automated workflows by orchestrating AI agents that transform, analyze, and route information. Enable low-/no code automation with nested agent steps for reliable end‑to‑end execution.

Module 3

Engineer‑to‑Order

AI-driven automation to accelerate cost engineering and streamline evaluation of technical drawings for cost, sustainability, and supplier analysis in high-performance automotive development.

  • Data‑driven engineering from day one.

    Technical drawings and design documents contain complex, cost‑critical attributes that are difficult and time‑consuming to evaluate manually. This leads to slow and inconsistent cost estimation, unreliable sustainability metrics, and limited transparency across components and suppliers. Manual comparison processes increase effort, reduce accuracy, and make it harder to identify optimal supplier options early.

    GenAIQ uses AI-driven extraction of technical drawing data to automatically generate structured cost, CO₂ equivalent, and component insights. By transforming unstructured design documents into comparable data, it enables fast supplier comparison, supports early sourcing decisions, and streamlines engineering evaluation for high‑performance manufacturing and automotive development.

Key benefits :

  • Cost‑efficient engineering through data‑driven insights
  • Structured comparison of supplier options
  • Early visibility into cost and sustainability impacts
  • Reduced manual analysis and comparison effort
  • Faster, more accurate engineering decisions

Key features of Engineer-to-Order

  • OCR and visual intelligence

    Extracts text and visual elements from scanned files and images, making them fully searchable. Converts tables, diagrams, and visuals into structured knowledge so agents and Data Chat can use both text and visual information.

  • Table generator/Entity extraction

    Extract data from documents into predefined table formats using AI‑driven extraction logic. Create clean, structured tables tailored to your needs with customizable profiles.

  • Quality loops & confidence scores

    Each answer is automatically reviewed by an AI agent to improve quality. Final responses include confidence scores, helping users judge reliability and decide if deeper analysis is needed.

Module 4

Market Intelligence Monitor

Real‑time web‑crawled price intelligence, continuously capturing and processing market data into a dedicated database to track price movements and sup-port accurate procure-ment decisions.

  • Turning market data into procurement advantage.

    Raw material prices change rapidly, and manual tracking across multiple online sources is time‑consuming and inconsistent. Procurement teams struggle to detect price movements early, compare reliable benchmarks, and integrate up‑to‑date market data into sourcing and negotiation decisions. This lack of timely visibility increases risk and weakens cost control.

    GenAIQ provides real‑time, web‑crawled price intelligence that continuously captures, structures, and stores raw‑material market data in a dedicated database. With built‑in anomaly detection, price trend analysis, and procurement‑ready insights, it enables early identification of market changes and supports informed sourcing decisions.

Key benefits:

  • Real‑time visibility into raw material price changes
  • Improved pricing accuracy and benchmarking
  • Faster detection of cost risks and anomalies
  • Reduced effort to identify market movements
  • Stronger negotiation outcomes with market-backed data

Key features of Market Intelligence Monitor

  • Data crawler

    Extract data from documents, websites and other sources using AI‑driven extraction logic.

  • Knowledge base

    Transforms uploaded files into a vector database for precise retrieval. Knowledge can be ingested automatically and accessed by agents and “Data Chat” to deliver tailored answers based on the most relevant content.

  • MCP service

    Allows AI agents to connect with tools and data sources via a standardized protocol. Agents access only the integrations needed for a task, supporting modular plug‑and‑play workflows.

  • E-Mail notifications

    Lets users subscribe to regulatory updates with titles, sources, and relevance scores. Filters control which updates are received, each containing a link to the original document for quick review.

  • Agent​ catalog

    Create and configure custom agentpersonas, guardrails, and behaviorstailored to your use cases. ShapeGenAIQ into the assistant yourteams need by defining tone, rules,and playbooks.​

  • Document​ intelligence​

    Document Intelligence uses AI toextract, understand, and act oninformation within unstructureddocuments such as invoices, forms,contracts, and reports. It powers ouragentic solutions – turning static filesinto actionable insights. ​

  • Quality loops &​ confidence scores​

    Each answer is automaticallyreviewed by an AI agent to improvequality. Final responses includeconfidence scores, helping usersjudge reliability and decide if deeperanalysis is needed.​

Module 5

Invoice Verification

AI-driven automation of procurement controlling, encompassing supplier contract analysis, freight document evaluation, and extraction of raw material market prices.

Key benefits:

  • AI‑powered extraction of invoice, contract & freight data
  • Real‑time validation to ensures integrity & flags issues instantly
  • Automatic pricing schemas creation & SAP‑compatible outputs
  • Faster and accurate pricing processes with minimal manual effort
  • Reduced operational cost & improved compliance reliability

  • Eliminate Invoice Errors and Manual Effort with AI-Powered Verification.

    Procurement teams try to get a clear view of spending, but the data never comes together. Invoice details sit in different systems, updates are buried in emails, and nothing matches. To create reports, the team manually pieces everything together - fixing errors, reconciling gaps, and adjusting logic again and again. As rules and regulations evolve, the workload only grows, turning simple reporting into a constant struggle to keep up.

    GenAIQ platform uses the intelligence to extract and structure data from invoices, contracts, and freight documents with high precision. Integrated validation ensures clean, consistent, and compliant data while real‑time discrepancy detection strengthens pricing accuracy. Automatically generated pricing schemas and SAP‑ready files streamline downstream processes and enable full pricing control.

Key features of Invoice Verification

  • Document intelligence

    Document Intelligence uses AI to extract, understand, and act on information within unstructured documents such as invoices, forms, contracts, and reports. It powers our agentic solutions – turning static files into actionable insights.

  • Knowledge base

    Transforms uploaded files into a vector database for precise retrieval. Knowledge can be ingested automatically and accessed by agents and “Data Chat” to deliver tailored answers.

  • Quality loops & confidence scores

    Each answer is automatically reviewed by an AI agent to improve quality. Final responses include confi-dence scores, helping users judge reliability and decide if deeper analysis is needed.

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