AI platform for sales forecasting and inventory optimisation

Anticipate demand and gain a higher level of inventory control with the AI platform in the cloud.
About the solution

The platform has state-of-the-art AI-based algorithms used for sales forecasting and inventory optimisation. It is tailor-made for various item types, such as standard items, slow-movers, seasonal items, etc.


Making purchase orders using the platform’s suggestions has not only proven to cut stock levels but also to decrease the number of stock-outs. It also decreases stock turnover time and helps warehouses run operations smoothly and avoid warehouse jams. Using state-of-the-art deployments on the cloud enables top-level service and allows customers to pay only for what they use, making the platform cost-effective. In addition, the platform boasts world-leading security and design.

Click on the picture to enlarge

How Artificial Intelligence improves inventory optimisation

Key business benefits

Up to 97% estimate future demand

Our platform can predict demand with high confidence for up to 97% of the total items, taking off the burden from purchasing department by using historical and 3rd party data.

Up to 50% lowered manual effort time

Stock-out or overstock risk is nullified by the daily stock monitor, one of the platform ‘s key components, which proactively tracks demand on every item, triggers and replans orders accordingly.

Up to 90% reduction of stock-out days

By constantly improving safety stock and keeping the monitor of market demand, our AI-based platform can help you avoid stock-out situations almost completely, lowering them by up to 90%.

2x faster inventory turnover ratio

In 1 to 3 months of productions, you’ll be able to completely change the structure of you inventory, so that slow-moving items don’t pile up anymore and your inventory is filled up with mid-to-high rotation items, which will help you improve inventory turnover for up to 2 times.

Use cases

Our cloud-based platform is ideal for companies in a wide range of industries that need advanced optimization of their inventory and procurement processes. Key components of the solution are:

  • Sales forecasting
  • Stock optimisation
  • Multi-location planning
  • Cargo optimisation
  • KPI’s and reporting
  • Seasonality analytics
  • Promotion planning
  • Replenishment planning

„We’re currently expecting to optimise purchase processes for at least 50%, with the expectation of having lower stock levels while, at the same time, not risking stock-outs, but in fact reducing them.“

Head of purchase department, Salus Group

„We know we have data that we can use more effectively. In our company, it’s a detail that matters. For example, bad weather during the weekend can reduce our business results.“

Chief Financial Officer, Marche Gostinstvo

Key implementation steps

Step 1

Analysing and defining the specifics of needs

Step 2

Customising the solution and implementation

Step 3

Building a scalable Cloud infrastructure

Step 4

Maintenance and support

Technical specifications


  • Apache Spark
  • Apache Hadoop
  • YARN (Hadoop YARN cluster manager)
  • Anaconda
  • PySpark installed in a test conda environment (connected with the Spark installation)
  • Delta Lake (on top of HDFS) available in the test conda environment


The platform doesn’t require specific versions of these technologies – however, it’s advisable to have the newest stable release of Spark that works with the newest stable release of Delta Lake.

About the company

BE-terna is one of the leading European integrators for business software solutions. As a full-service provider, the company specialises in implementing and optimising business processes on Microsoft and Infor-based ERP, CRM, and Big Data platforms. Customers include global corporations and innovative midsized companies, who want to gain competitive advantages by implementing and using modern, broad, and cloud-based business software applications. With a highly motivated team, consisting of 1000 consulting and technical specialists, and 70 committed partners in BE-terna partner network, BE-terna serves more than 1,650 customers mainly within internationally orientated projects. With a comprehensive portfolio of software products and services, and industry-specific know-how, BE-terna offers perfectly tailored solutions for manufacturing, retail, distribution, trade, banking, insurance and automotive industry.

Mainstream Marketplace uses cookies to ensure a better experience for you and the full functionality of the web pages. To learn more about the cookies we use, please read our Privacy Policy.