AI-Powered Supply Chain Optimization

Transform Your Supply Chain with Adastra's AI Expertise on Microsoft Azure

Unlock the potential of your supply chain with AI-powered solutions on Microsoft Azure. Collaborate with Adastra, boasting over 15 years of global OEM and supplier collaboration, specializing in leveraging AI expertise to optimize and forecast every stage of the automotive supply chain, including ESG aspects.

Supply Chain Optimization Journey

Step 1: Complimentary 2-Hour Live Session Master data capture, curation, and analysis for actionable insights. Join Adastra's workshop, exploring cost optimization, risk mitigations, and ESG enhancements for your data-driven journey.

Step 2: Define the Right Strategy (2 Weeks) Tailor a Microsoft Azure-based data solution to your goals. Evaluate data (availability, quality, infrastructure, technology, governance, and regulations) and align with key stakeholders on the strategy.

Step 3: Proof the Value (4-6 Weeks) Build a lighthouse solution for scaling on Microsoft Azure. Conduct a thorough analysis, develop, test, and refine the solution for lighthouse implementation. Create a scalable roadmap for the solution.

Key Benefits

• Cost Reduction:

  • Identify inefficiencies and reduce costs in inventory management, transportation, and warehousing on Microsoft Azure.

• Improved Quality:

  • Unlock new business models and revenue streams by offering products or machines as services.

• Enhanced Customer Experience:

  • Reduce lead times, improve delivery times, and boost customer satisfaction.

• Increase Flexibility and Risk Mitigation:

  • Quickly respond to changes in demand or supply chain disruptions , minimizing impact and risk.

Data-Driven Optimization Steps

1. Data Collection:

   • Collect data from various sources, including ERP systems, sensor networks, and third-party logistics providers.

2. Data Preparation:

   • Clean and prepare data for analysis, removing errors and duplications, and converting it into a format suitable for AI/ML algorithms.

3. Modeling:

   • Leverage AI/ML algorithms and optimization techniques to identify patterns and insights, optimizing processes like demand, inventory levels, and transportation routes.

4. Optimization:

   • Use gained insights to optimize supply chain operations, making changes to inventory management, transportation routes, or supplier relationships.

5. Integration:

   • Integrate optimized supply chain operations into technology systems, connecting ERP systems with warehouse management systems.

6. Continuous Improvements:

   • Monitor supply chain operations' performance utilizing data analytics and AI for ongoing improvements.

Transform your supply chain with Adastra's AI expertise leveraging a suite of Microsoft solutions including Microsoft Fabric, Azure Synapse, Power Automate, and Power BI. Elevate efficiency, mitigate risks, and embrace sustainability seamlessly.