What are Advanced Analytics:

Advanced analytics refer to the application of sophisticated analytical techniques derived from Statistics, Econometrics, Operational Research, and Artificial Intelligence, to extract deeper insights from data and support complex business decisions. Unlike traditional Business Intelligence, which focuses on descriptive and potentially diagnostic insights, advanced analytics leverage predictive and prescriptive models to help identify key drivers & understand their impact, control & improve processes, and recommend (or automatically implement) near-optimal actions.

A simple yet practical example of advanced analytics in action is the calculation of safety stocks, reorder points, and minimum order quantities for inventory management. In the below example, we can see those metrics calculated on input such as SKU daily orders, and parameters related to the ABC classification of items, lead time, etc. (you may click to download the Python enabled Excel file):

Inventory Control Reults

Calculating those metrics provides significant value, but is only the first step. To further generate value we can:

  • Adapt the approach to your inventory control framework.
  • Help you establish end-to-end processes to enable monitoring of both the stock levels and the effectiveness of inventory management in general.
  • Setup proactive alerts when stock nears reorder points, introduce automations & AI agents, to transform insights into actions that generate value.
  • Design and implement further analytics & KPIs for tactical decision-making, to drive longer term, sustainable growth.
The result? → Reduced supply chain risk, improved service levels, and more efficient use of working capital.

From a more general perspective, there are many benefits stemming from advanced analytical methods in Supply Chain Management. The are many examples and ways we can help you:

  • Improve Demand Forecasting - Use predictive models to analyze historical data and market trends, enabling accurate demand forecasts and reducing overstocking or stockouts.
  • Enhance Inventory Optimization - Leverage optimization algorithms to balance supply and demand, minimizing waste and excess inventory while maintaining service levels.
  • Efficient Route and Logistics Planning - Apply optimization techniques and AI to plan transportation routes, reducing fuel costs and improving delivery times.
  • Proactive Risk Management - Identify potential disruptions using predictive analytics and prescriptive recommendations, enabling proactive risk mitigation.
  • Supplier Performance Analysis - Evaluate supplier data to optimize relationships, identify bottlenecks, and select reliable suppliers.
  • Cost Reduction - Identify inefficiencies and discover cost-saving measures, optimizing procurement, production, and distribution processes.
  • Real-Time Visibility and Monitoring - Acquire real-time insights into supply chain operations, enabling quick decision-making and responsiveness.
  • Enhanced Customer Satisfaction - Ensure timely delivery and product availability, improving order accuracy and reducing lead times.
  • Sustainability and Waste Reduction - Identify opportunities to reduce carbon footprints and minimize waste through optimized production and resource usage.
  • Scalability and Adaptability - Build scalable solutions that adapt to growing business needs and changing market conditions.

In addition to Supply Chain Analytics, we also provide tools & solutions for Financial Analytics.

We use tools like Python and R to for advanced data analysis, incorporate the relevant functionalities within other deliverables such as Power BI reports (potentially including Aimplan visuals to enable user input), Excel files, and Microsoft Fabric notebooks. The platform of preference for implementing the underlying architecture, when necessary, is Microsoft Fabric, which extends Power BI with a complete set of analytical tools, in a scalable & cost effective way that is suitable for SMEs.

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There are various work modes we can agree upon to help you:

End-to-End Projects

From initial consultation and needs assessment to data consolidation, analysis & visualization, we ensure seamless integration of analytics into your business processes. We work closely with you to design customized solutions that help your company make data-driven decisions and achieve measurable bottom-line value.

Coaching & Consulting

We are here to guide you through every crucial step of your analytical journey. From crafting a clear roadmap and designing tailored solutions to providing expert guidance to your analytics teams, we ensure everything is aligned in a way that streamlines capabilities, generates tangible results and helps you drive business value.

Development & Support

We provide hands-on development and dedicated support for your analytics workstreams, ensuring seamless execution at every stage. From helping build custom solutions to troubleshooting BAU processes, we work alongside your teams to drive efficiency, ensure quality and deliver business impact.