Data science and artificial intelligence for the supply chain
Data is at the heart of our projects. Firstly, because quantitative analysis complements field observations and qualitative interviews during the diagnostic phase. Secondly, because they provide precise support for the needs, constraints and economic, social and environmental gains on which our recommendations are based.
At Newton.Vaureal Consulting, this quantitative dimension is a common thread running through all our assignments: from data collection, for which we work closely with our customers, to the implementation of recommendations.
To make the most of our data, we rely on high-performance business intelligence tools offering: the ability to process large datasets, rigorous modeling of business-related data, and interactive sharing of analyses using dashboards based on multiple axes: intra- and inter-site, complete flows and costs, geographical and temporal.
This tool enables us firstly to establish a rapid and precise diagnosis and identify the first sources of gains, and secondly to model the business projections essential to guaranteeing the relevance of our recommendations.
We operate in various sectors
Large groups, institutions, SMEs ; we have the resources to support companies of all sizes and in all circumstances (from long-term vision to crisis support)
Supply chain is becoming an integral part of industrial sites. Managing site supplies means working more closely with suppliers, and integrating factory workflows into the supply chain.
Our work focuses on issues relating to the organization and management of physical flows, as well as on forward-looking studies linked to territories. Our areas of expertise include urban logistics, modal shift and carbon footprint.