Platform executing precise AI-based sales forecasting of fruits and vegetables utilizing historical sales data and also external factors like weather, supply availability, and more.
iERP software helps to eliminate fresh food waste by accurately estimating sales of individual products with artificial intelligence innovative multi-layer approach.
Usage of Standards for data interoperability:
iERP’s platform is using standard API’s for both data input as well as output. APIs are documented using Swagger and are compliant with all best practices.
*Expose phase is open to all Experiment phase teams
Jozef Balaz, CEO
Bright, ambitious and organized leader with a long track record of leading large teams of people in his role as capability lead, and program manager.
Dusan Korcak, COO
Energetic leader with expertise in operations and business development able to quickly analyse key business drivers and develop strategies to grow.
Orhan Sonmez, Lead data scientist
Mastermind of iERP data science operations with strong academia background from Max Planck Institute, Bogazici and Istanbul Technical University.
Ivona Ristova, Data scientist
Ivona is a passionate professional discovering and learning new theories as well as channeling it into concrete solutions for the end users.