Transforming transportation

For efficiency, savings and meeting customer requirements, apply analytics to your distribution, logistics and transportation processes.

With ever growing attention on leveraging data, supply chain executives are honing their approaches to applying analytics to distribution, logistics and transportation processes. Enterprise analytics for transportation presents a unique opportunity to increase efficiency and meet global customer requirements. Leaders are moving from static and backward-looking optimization techniques to forward-looking simulation capabilities that integrate with their existing technology platform to be able to operationalize models and make improvement stick.

Opportunities for transportation analytics

Companies are building operating models to leverage investments in technology and available data from the growing use of analytics across the business. Their success is rooted in balancing two key facets of the business – understanding the evolving growth from new markets, product mix, and channels married with an understanding of how transportation industry and regulatory dynamics constrain the optimal deployment of assets and resources. This is where building quality scenarios to model is critical.

Reimagining transportation

The power of analytics and modeling are reflected in the way in which operating scenarios are developed. In addition to traditional levers like load management, driver availability, and carrier capacity, models should consider a number of influencers including:

  • external partner cost models
  • inventory strategies
  • government policy
  • natural phenomena

Steps to institutionalizing data 

Although operational challenges vary – especially across industries – there are common drivers of successful implementation of analytics present in companies that are able to sustain value. What data to model, who drives the transportation analytics function and how logistics operations utilize analytics capabilies are key. 

Areas of transportation analytics impact

Companies embarking on the transformation of transportation to a data-driven operating model should start by taking a look at the influencers of value. These include:

  • product flow
  • distribution network footprint
  • global trade strategy
  • quality and regulatory concerns
  • sourcing strategy
  • tax opportunities
Transforming transportation
Read the paper for deeper consideration and to learn how KPMG helped a global beverage company with a transportation management system roll out and helped a global food packaging manufacturer identify opportunity for 38% cost savings.

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