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RECENT NEWS
February 11th, 2010
Remsoft Tactical Planner and Collaborative Analytics technology reviewed by industry’s largest publication “The Forestry Source”
December 22nd, 2009
Remsoft teams with New Brunswick Department of Transportation to score prestigious Edelman Award nomination
December 15th, 2009
IT World Profiles Remsoft’s Collaborative Technology
More news...

Events

Remsoft regularly hosts User Groups and Training Courses and our staff frequently attend or otherwise participate in industry trade shows and conferences.

See below for a list of upcoming events and other engagements where we can found. If you are attending or organizing an event that you think we ought to know about, then please get in touch and advise us about it.

 
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Upcoming Events
Webinar demonstrating Remsoft decision support solution in Quebec
March 10th, 2010


ESRI Business Partner Conference
March 21st, 2010


Remsoft to attend ExpoFOR Forestry Conference
April 9th, 2010


Remsoft to attend SEUS-CP 2010
April 11th, 2010


Edelman Award Competition and INFORMS Conference
April 18th, 2010


International Biomass Conference and Expo
May 4th, 2010


Open Training in Australia and New Zealand
May 17th, 2010


Remsoft to visit to Australia and New Zealand
May 17th, 2010


Remsoft to host Information Session in Australia and New Zealand
May 18th, 2010


Remsoft to attend Wood Supply Chain Optimisation Conference
May 19th, 2010


Fredericton 2010 User Group
September 15th, 2010



Archived Events
Open Training in Atlanta GA - *NEW DATES*
January 26th, 2010


Remsoft Analytics and collaboration technology WEBINAR for South American clients
January 19th, 2010


ForestTECH 2009 - Australia & New Zealand
November 10th, 2009


Transportation Research Board National Conference on Asset Management
October 19th, 2009


Transportation Association of Canada's Annual Conference and Exhibition
October 18th, 2009


World Forestry Congress
October 18th, 2009


Stora Enso Predicts a 2.5% Savings

Stora Enso Predicts a 2.5% Savings

“We asked, ‘If we had made the decision and optimized the problems, how much money would we have saved?’” The answer was approximately 2.5 percent.”

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