""

col·lab program

Machine Learning applications with Dataiku: Emergency Caller Prediction for More Accurate Contact Center Staff Resourcing

Machine Learning applications with Dataiku: Emergency Caller Prediction for More Accurate Contact Center Staff Resourcing

Optimizing the customer experience with better resource allocation is often a critical objective for businesses or governmental agencies. The following case study concerns the Emergency Services Contact Center of a large European metropolitan city. Their objective was to accurately predict the volume of inbound calls to be able to improve agent rostering and ensure optimal response times for callers in serious need of assistance.

Innovation Success Story: Automation of quality control processes at Almirall

Innovation Success Story: Automation of quality control processes at Almirall

This case study demonstrates once again the flexible service offered by Clariba and, in particular, our innovation department. Our deployment of cutting-edge technology alongside imaginative and disruptive thinking allows us to provide sophisticated solutions to the most complex business needs, while still maintaining tight delivery timescales and control of budgets.

Introduction to Digital Twins and its applicability in the world of logistics with Frit Ravich

Introduction to Digital Twins and its applicability in the world of logistics with Frit Ravich

The term Digital Twin emerged in 2017 as one of the main technological trends according to Gartner consultancy and its results have been demonstrated in multiple areas. This article aims to introduce the concept of Digital Twin technology, reviewing some of its main benefits and presenting a practical example. In order to develop a solution to optimize its warehouse, we co-innovate in collaboration with Frit Ravich, the leading manufacturer and distributor of external brands from well-established companies such as Mars Spain, Nestlé and Ferrero (3,000 references) that serve around 50,000 points of sale every week.