Coming Soon:
On April 2nd, all Suggestion Boxes will be migrating to The Network, Trimble's online user community. Your posts, votes, comments, and user accounts will transfer. This site will become read-only after the migration, and this banner will have a link to the new location for Vista suggestions.
Glad to hear you like the new auto invoicing feature! We are working on fixing the lack of defaults populating - follow this suggestion for updates https://vistaerp.ideas.aha.io/ideas/VPT-I-1964
Really like this new feature in TC1, BUT the date/discount/payment information isn't pulling in from the vendor defaults. Not saving any time if we have to go back and populate all those fields manually.
Work is underway to provide this capability to our Trimble Construction 1 customers. This feature combines scanning, OCR and machine learning technology to improve data accuracy as it 'learns' to identify and distinguish critical information on a vendor invoice.
We at Viewpoint sincerely thank you for your contribution to Suggestion Box on how we can improve Viewpoint products. While we can’t do everything at once, we rely upon your feedback to help guide the prioritization of our product improvements, and Suggestion Box is a critical tool for us to understand and prioritize our customers’ needs.
Viewpoint reviews Suggestion Box regularly for all of our products and updates statuses, adds comments, and performs various house-keeping (including deleting) as needed to ensure that Suggestion Box is maintained as a productive environment for product enhancements requests.
Glad to hear you like the new auto invoicing feature! We are working on fixing the lack of defaults populating - follow this suggestion for updates https://vistaerp.ideas.aha.io/ideas/VPT-I-1964
Really like this new feature in TC1, BUT the date/discount/payment information isn't pulling in from the vendor defaults. Not saving any time if we have to go back and populate all those fields manually.
Work is underway to provide this capability to our Trimble Construction 1 customers. This feature combines scanning, OCR and machine learning technology to improve data accuracy as it 'learns' to identify and distinguish critical information on a vendor invoice.