Tag Archives: analytics

PODCAST: Behind the Flexport phenomenon; Ryan Petersen interviewed 

This interview with Ryan Peterson, CEO of Flexport, is fascinating.  It is well worth registering at the Loadstar in case you don’t already have access.

Ryan points out that only 75% of freight bookings are kept.  This may be a correlative of on time percentage of about the same amount for ocean carriers; but it is more symptomatic of a situation in which the uncertainty breeds more uncertainty.  It’s like new product introductions; no one knows if your new product (disk drive, for example, in the business I was in years ago) is going to sell; it has plenty of promise, but also lots of competition. As a result your distributors (NVOCCS and freight forwarders) over-order, trying to convince you they can peddle lots of them, for fear that they will be cut out of the allocation when you start to deliver but can’t give them their whole order.  In a sense, for an ocean alliance every voyage is like a new product launch. People over-order, they plan, but can’t full ships, so they cancel (or reroute, changing schedule).  It’s a no-win for everyone.

Ryan is right in my view; data and sharing it can help. The issue is whether companies can be talked into sharing data.  That’s what his firm is partially about– facilitating the exchange (for a price of course!). And for many firms, shippers and carriers, it should be worth it; a trusted intermediate can greatly reduce transaction costs.

Listen up– you’ll learn a lot!

Source: PODCAST: Behind the Flexport phenomenon; Ryan Petersen interviewed – The Loadstar

Automating Supply Chain Resilience – High on Your Digital Agenda?

Can we use software and analytics to help insure supply chain resilience?  MIT and others are doing a lot of study in this area.  and so are a lot of companies.  This will be a growth area for software companies who come up with clever solutions that can be integrated with existing data and systems and which actually work. Entrepreneurs, start your engines!!

Here is the survey mentioned in the article: cse-2016-final-dsciwhitepaper-resilience

Source: Automating Supply Chain Resilience Should Be High on Your Digital Agenda

A Complete Tutorial to learn Data Science in R from Scratch

A straightforward introduction to the R statistical and programming language, emphasizing its power in predictive analytics and machine learning.

screenshot-www.analyticsvidhya.com 2016-06-05 09-55-18  Introduction R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts have been made to improve R’s user interface. The journey of R language from a rudimentary text editor to interactive R Studio and more recently Jupyter Notebooks has engaged many data science communities

Source: A Complete Tutorial to learn Data Science in R from Scratch