Supply chain complexity is characterized by copiousness, interdependency, variability, variety and uncertainty.
Here at Cause and Effect Strategy, we help clients identify, quantify and strategize to reduce the effects of these interdependent characteristics leading to a reduction in supply chain complexities while driving efficiency and profitability.
In modern society, the demand is increasingly sophisticated and personalized. In the industry this means that in order to satisfy people and companies’ needs, it is essential to carry out a more efficient and intelligent way of production, maximizing the profitability of all the processes involved, radically reducing costs and marginal manufacturing times. In short, optimizing production. Currently, supply chains aren’t anymore just systems for keeping track of products along the chain, but they have become a way to gain a competitive advantage and even build an own brand. Data science can help organizations
Supply Chain Objectives and Current Inefficiencies
From the point of view of a supply chain system based on products and customers, which requires collaboration between different agents such as buyers, suppliers, distributors, there are a number of objectives in which it is essential to emphasize:
We guide clients through a journey from disparate data through the development of business strategy and measurement. We utilize our CORE4 methodology to build a strong foundational data model in which we can then challenge with many different difficult supply chain questions and predictions.