A3 Manufacturing Project Software


  • Data Aggregation
  • Real-time Monitoring
  • Predictive Analytics
  • Automated Alerts
  • Scenario Planning & Collaboration Tools
  • Performance Dashboards
  • Observation Notes
  • AI Driven Summaries, Suggestions & Projects
  • *Available 3rd party Integrations

AI Automation Designed for You!

Praxie’s AI-powered Supply Chain Control Tower software transforms complex process steps into actionable data insights and significantly boosts productivity of your unique workflows.
AI-Powered Enhanced Visibility and Waste Reduction
Improved Efficiency, Productivity and Decision Making
Customer Focus, Cost Reduction and Process Improvement

“Our team used to take days manually creating status reports. Today, Praxie’s Connected Worker AI automatically creates business summaries, reports and action plans for every layer of management, it’s amazing!.” – Satisfied Customer

Enhanced Visibility

Gain real-time insights into every facet of the supply chain for improved oversight and control.

Proactive Management

Utilize predictive analytics to anticipate and mitigate disruptions before they impact operations.

Cost Reduction

Optimize inventory levels and streamline logistics to significantly reduce operational costs.

Supply Chain Control Tower App Overview

A Supply Chain Control Tower app is an advanced software platform designed primarily for supply chain managers and logistics coordinators in manufacturing organizations. It centralizes data from various points in the supply chain, providing a comprehensive, real-time overview of all activities, from procurement to product delivery. Users leverage this app to monitor, manage, and optimize supply chain operations through data-driven insights, enabling quick response to market changes and potential disruptions. By enhancing transparency across the supply chain, the app facilitates better planning, reduced costs, and improved efficiency, leading to more reliable and agile operations that can adapt to the dynamic demands of the market.

Supply Chain Control Tower App Details

A Supply Chain Control Tower app is a sophisticated software tool that integrates and analyzes data across a manufacturing organization’s supply chain. It offers comprehensive, real-time visibility into the entire supply chain network and provides actionable insights to improve efficiency. Here’s a breakdown of its core components and their functions:

  1. Data Aggregation: Collects and consolidates data from multiple sources, such as ERP systems, MES systems, IoT sensors, suppliers, and logistics partners, to create a unified, accurate data set.
  2. Real-Time Monitoring: Continuously tracks key performance metrics like inventory levels, lead times, shipment statuses, and production progress, providing an up-to-the-minute view of the supply chain.
  3. Predictive Analytics: Uses AI and machine learning algorithms to analyze historical data, identify patterns, and forecast potential disruptions or demand fluctuations.
  4. Automated Alerts: Sends proactive notifications to supply chain managers about potential issues like inventory shortages, delayed shipments, or equipment malfunctions, enabling quick decision-making.
  5. Scenario Planning: Enables users to simulate different “what-if” scenarios to assess the impact of various changes, helping to build robust contingency plans.
  6. Collaboration Tools: Provides a centralized platform for cross-functional teams to communicate, share insights, and coordinate actions efficiently.
  7. Performance Dashboards: Offers customizable dashboards with visual analytics to easily track key metrics and performance indicators, helping management focus on strategic goals.

A Supply Chain Control Tower app is essential for manufacturing organizations aiming to achieve operational excellence. By aggregating and analyzing supply chain data, it empowers organizations to make informed decisions quickly, improve coordination, and remain resilient against market volatility. With these capabilities, manufacturers can significantly reduce costs, improve service levels, and build a more flexible, proactive supply chain.

Supply Chain Control Tower App Process

Introducing a Supply Chain Control Tower app into a manufacturing organization involves careful planning, stakeholder engagement, and leveraging advanced technologies like AI to enhance supply chain management. As a project manager, your role is to oversee the implementation process, ensuring that the app is seamlessly integrated and effectively utilized. Here’s a step-by-step guide to facilitate this process:

  1. Initial Assessment and Goal Setting: Conduct a thorough assessment of the current supply chain processes and define clear objectives for the new system. Success factors include understanding specific pain points and setting measurable goals to guide the implementation.
  2. Stakeholder Engagement: Engage key stakeholders, including supply chain managers, IT staff, and logistics coordinators, to gather input and build support. Effective communication and securing buy-in across all levels ensure alignment with organizational goals.
  3. Customization and Integration: Customize the app’s features to match the organization’s specific supply chain workflows and integrate it with existing ERP and MES systems. Tailoring the app and ensuring seamless integration enhances usability and relevance.
  4. Data Collection and Preparation: Gather and prepare historical and real-time data from various sources, ensuring data quality and completeness. Accurate data is crucial for effective AI-driven analysis and predictive insights.
  5. AI Model Training and Setup: Utilize the app’s AI capabilities to analyze the collected data and train machine learning models to forecast demand, identify potential disruptions, and optimize logistics. Leveraging AI ensures data-driven decision-making.
  6. Pilot Testing and Feedback: Conduct a pilot test with a small team to evaluate the app’s functionality and gather user feedback. Refining the app based on pilot results ensures a smoother full-scale rollout and addresses any potential issues.
  7. Comprehensive Training Program: Develop and deliver training sessions to ensure all users understand how to navigate the app and utilize its AI-driven insights effectively. Providing clear instructions and ongoing support minimizes resistance and enhances proficiency.
  8. Full Deployment and AI Monitoring: Roll out the app organization-wide and use AI to continuously monitor supply chain activities, providing real-time insights and alerts for potential issues. AI-driven monitoring ensures timely and accurate interventions.
  9. Continuous Support and Improvement: Provide ongoing support to address any user challenges and regularly collect feedback to improve the app. Continuous evaluation and refinement based on user input and AI analytics foster sustained success.

Successfully implementing the Supply Chain Control Tower app requires a strategic approach that includes stakeholder engagement, thorough customization, and leveraging AI for predictive analytics and real-time adjustments. Key success factors include clear communication, comprehensive training, and continuous monitoring and improvement. By following these steps, manufacturing organizations can optimize their supply chain operations, enhance visibility, and improve overall efficiency and resilience.

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Your Manufacturing Digital Transformation Practice Lead

Michael Lynch

Michael Lynch is a creative and successful executive with extensive leadership experience in delivering innovative collaboration products and building global businesses. Prior to founding Praxie, Michael led the Internet of Things business at SAP. He joined SAP as part of the acquisition of Right Hemisphere Inc., where he held the position of CEO. During his tenure, he transformed a small tools provider for graphics professionals to the global leader in Visualization software for Global 1,000 manufacturers and led the company to a successful acquisition by SAP.