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Infis AI
Eliminate Supply Chain Blind Spots with a Truly Intelligent Control Tower

What is Infis AI?

Infis AI offers a sophisticated solution designed to enhance supply chain management through intelligent automation. It integrates data from diverse sources, including structured systems like ERP and CRM, as well as unstructured formats like emails and spreadsheets, providing a unified view of operations. This integration facilitates real-time visibility and helps identify potential risks proactively.

The platform employs browser-based automation for seamless data collection from various portals and legacy systems, eliminating the need for complex API integrations. It automatically captures, processes, and maps data to the relevant fields within ERP or workflow systems, ensuring data consistency and reducing manual errors. By creating a digital twin of manufacturing operations and continuously refreshing knowledge models, Infis AI keeps systems updated with the latest insights for informed decision-making.

Features

  • Automated Data Capture: Extracts, processes, and integrates data from structured (ERP, CRM) and unstructured sources (emails, spreadsheets) without manual intervention.
  • Real-Time Updates: Refreshes knowledge models every 30 minutes, ensuring ERP systems and dashboards stay updated.
  • Browser-Based Automation: Connects via Chrome/Safari/IE for seamless data collection from portals, emails, and legacy systems without complex integrations.
  • Data Auto Mapping: Automatically maps extracted data to the correct ERP or workflow fields.
  • Digital Twin of Manufacturing: Creates a real-time digital representation of manufacturing operations by unifying data from ERP, MES, CRM, and IoT systems.
  • Auto Update ERPs: Syncs live operational data across ERPs, spreadsheets, and internal systems automatically.
  • Automated Supplier Tracking: Tracks real-time supplier data, monitors compliance, and sends alerts for disruptions.

Use Cases

  • Achieving real-time supply chain visibility.
  • Proactively mitigating supply chain risks.
  • Integrating data from disparate sources (ERP, CRM, email, spreadsheets).
  • Automating data entry and reducing manual errors.
  • Creating digital twins for manufacturing operations analysis.
  • Optimizing manufacturing workflows with AI insights.
  • Tracking supplier performance and compliance automatically.
  • Identifying data anomalies and process gaps.

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