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  • ERP
    • Microsoft Dynamics 365 Business Central
    • Microsoft Dynamics 365 Finance
    • Microsoft Dynamics 365 Supply Chain Management
  • CRM
    • Microsoft Dynamics 365 Sales
    • Microsoft Dynamics 365 Contact Center
    • Microsoft Dynamics 365 for Marketing
    • Microsoft Dynamics 365 Customer Service
  • LowCode/NoCode
    • Copilot Agents
    • Power Automate and Power Apps
    • Power Pages
  • Cybersecurity
    • Microsoft Defender
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    • Microsoft Sentinel
    • Security solutions by Microsoft
  • Teamwork
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    • Microsoft Viva
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    • Power BI
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      Home
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      Data and AI
      —Machine Learning Forecasting & Optimization

      Machine Learning Forecasting & Optimization

      Machine Learning Forecasting & Optimization

      Machine Learning: Forecasting and Optimization

      Models for forecasting, scenario analysis, and finding optimal solutions within business constraints.

      When management decisions depend on numerous factors, historical data, resource constraints, and market behavior, traditional reporting is not enough. Machine learning, mathematical optimization, and game theory help analyze complex systems and compare possible scenarios.

      How We Help

      We assess the quality of historical data, conduct pilot modeling, and develop a roadmap for further model development. Depending on the business challenge, we use forecasting and scenario analysis, multi-objective optimization, or game theory methods. These approaches can be implemented independently or combined within a single system and integrated with Awara IT's AI solutions.

      ML Solution Areas

      01
      Forecasting and Scenario Analysis

      Models use historical data to identify the factors that influence business outcomes.

      Cash flow and financial performance forecasting
      Analysis of the impact of changes in pricing and demand
      Assessment of factors affecting sales and product growth
      Factor analysis and what-if scenarios
      02
      Multi-Objective Optimization

      Models help identify the best solution when multiple objectives and constraints need to be considered.

      Resource allocation across business areas
      Logistics and warehouse network optimization
      Inventory and cost management
      03
      Strategy Development Using Game Theory

      These methods are used to analyze market participants' behavior and select appropriate actions in competitive environments.

      Strategy selection to strengthen competitive advantages
      Loyalty program modeling
      Optimization of internal incentives and collaboration between business units

      How We Work

      01
      Assessment of historical data quality
      02
      Pilot modeling
      03
      Development of a roadmap for further model evolution
      04
      Integration of the model into a unified analytics or AI system when required by the project

      Business Outcomes

      Better-informed management decisions
      Reduced uncertainty in forecasting
      Optimized resources and costs
      Support for strategic planning

      Why Awara IT

      Microsoft Solutions Partner with more than 18 years of experience
      500+ digital transformation projects successfully delivered
      200+ Microsoft-certified professionals
      Extensive project experience across Europe and Central Asia
      Tell us more about your challenges / Get in touch
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