That will be the main focus of the inspiration session that Dutch consulting firm Groenewout is holding on March 13 in Den Hout in the Netherlands. I’m honored that Groenewout have asked me to chair the event that day. I will kick off the event with a short presentation on trends and technology in e-commerce logistics, after which I will introduce the main speaker of the afternoon: Groenewout’s e-commerce warehousing and logistics expert Arthur Zondervan.
Blame it on the quality of product, the wrong size or having second thoughts: what consumers worldwide buy and then return totals a staggering $642.6 billion per year. To put this in perspective, the value of goods that consumers decide they don’t really want would rank as the world’s 21st largest economy. It is just behind Switzerland and ahead of Argentina, based on the World Bank’s most recent available global economies’ ranking.
In some respects logistics is one of the most inefficient activities in the world. There. I said it. And yes, there is also a lot of efficiency, but not when it comes to assets. Warehouses are built, bought, and leased based on peak level need. Outside of the peak demand period, large parts of these warehouses are empty and unused. And trucks. In Europe more than 25% of the trucks driver around empty. But I’m saving the trucks for later. This post is about warehouses.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".