2017 Winner Profile


Project Description:
With today's fast delivery expectations, customers are accustomed to knowing when their freight is going to arrive down to the hour, not just the day. Customers want access to delivery time predictions so they can better prepare for receiving their freight. Using historical data, predictive analytics and data science techniques, PITT OHIO, a provider of transportation and logistics services, can estimate the time the driver will arrive at a delivery stop. The company's predictive model doesn't require any interaction on the part of its drivers, enabling them to stay focused on freight delivery. The PITT OHIO ETA (estimated time of arrival) calculation is all done mathematically and delivered to customers in real time, resulting in increased customer satisfaction and loyalty. Customers state that it's now easier to do business with PITT OHIO because they can get the ETAs for their freight immediately without human intervention. PITT OHIO estimates that it has increased revenue through repeat orders (estimated at $50,000 per year) and reduced the risk of lost customers (estimated at $60,000 per year).
Business Functions:
Customer Service or Support, Order Processing or Fulfillment, Other
Business Goal:
Competitive Advantage, Customer Experience, Operational Impact
Scott Sullivan, CFO / CIO
Chuck Hammel, President
Pittsburgh, PA
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