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Big Data Analytics applied in the Commerce and the Supply Chain Sector – Part I

Big Data Analytics & Artificial Intelligence tools can be applied in a wide variety of fields and industries for multiple purposes.

We live in uncertain times for businesses, constantly changing external socioeconomic conditions and increased risks. This is where Data Science and AI tools come in to assist you and offer you robust information and accurate models so you are able to meet strategic goals, maximize productivity and make decisions that will reduce risks whatever your line of business or industry.

In a world where state regulations, international guidelines and market demands change dynamically, knowledge based on facts and the ability to predict the future will prove a leverage for your business towards sustainability and strategic positioning and will offer you a safety-net against uncontrollable external conditions.

Our team's extensive experience in both the scientific and business fields allows us to offer solutions in various industries.

One of them is the Commerce and the Supply Chain sector.

Data Analytics give you insights into your customers behavior, transaction patterns, supply chain management or even your social media and marketing campaigns to increase your business productivity.

From your suppliers to your warehouses and to your points of sales and your customers, Data Science and Predictive Analytics will help you make data-driven decisions and improve the quality of your services, your performance and your bottom-line results. All you need is in the big data generated by your supply and value chains. You only need to aggregate them, to organize them and to turn them into insights.

Data Science can be a major advantage in areas such as the identification of customer needs and behavior, the optimization of marketing campaigns, the prediction future stocks, the elimination of inventory errors and miscalculations, the improvement of product logistics.

All of the above reduce your risks and improve your efficiency and results.

Examples of data we work with:

  • CRM, ERP and SCM data

  • Customer satisfaction data (e.g. surveys, scores, comments, social media)​

  • Archives and transactions data​

  • Logistics Data (location, ID, timestamps, RFID scans)​

  • Internet data sources (e.g. Google, Facebook, hits, clicks, comments)​

  • Sensors, camera images​

  • External Databases (e.g. market prices)

The people of E-ON Integration will deliver business actionable information and real-time data monitoring tools that will facilitate the management of your supply and value chains and help you make informed decisions.

In our next Newsletter we will go deeper and show you how we will do this, what is our offering in Customer and Marketing Insights and Supply Chain and Logistics Management. We will explain our offering and discuss your benefits from the analysis of internal historical data and other data gathered from unstructured sources.


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