Skip to main content

Please, welcome an improved workflow of orders management in LabSuit!



Recently we improved orders management module in LabSuit. 

Lets't take this classical case as a example. In a typical lab there are two persons responsible for ordering. The first just approves the order, which is then submitted to the order manage, who actually orders it. Usually these functions are strictly separated and often, this two people do not meet for a couple of days, for example a PI who is traveling and a lab secretary, who's most of the time is on campus.

The steps go as follows:

1) A graduate/PhD student enters a product, and chooses a) an approval manager and b) an order manager
2) The approval manager gets an notification and approves or rejects an order request
3) In the first case the order manager gets an notification and orders the product 
4) In the second case the user entering the request gets notified.
5)  A grad student/PhD gets the product delivered

The roles of a grad student, approval manager and orders manager are dynamic and fluid. In some labs grad students order for themselves, in some labs approval manager and orders manager roles are combined and one person performs these tasks.

LabSuit allows any of this configurations.

To make things quick and easy, an approval manager, would get an email with a big, green YES and and big red NO button to hit ;-)

Finally, every step that order's status is changed, for example form "requested" to "approved",  a change will be logged and available  for later inspection. Of course, email notification might be sent out.


Comments

Popular posts from this blog

Lab Fairy embraces Eli Lewis's lab at Ben Gurion university of the Negev

When there is a job for Lab Fairy it doesn't matter whether it's in the Noth or in the South - Lab Fairy packs its tools and embarks for an assignment! This time Lab Fairy has got a call from Ben-Gurion University of the Negev.  It's a pure pleasure to work with a professional lab manager Having boarded a train heading South, the Lab Fairy had an hour ride to Beer Sheva. At the campus which is shared by hospital and university, Lab Fairy was met by amazing lab manager - Ronen Schuster. Ronen was so positive and cooperative that Lab Fairy had a true pleasure of working with him. Ronen accompanied us to the lab and gave very accurate instructions, so the expectations on both sides were very clear.  Lab Fairy plunged into work. Lab Fairy's target was a fridge full of antibodies. On previous  Lab Fairy  assignments,  there were containers  mostly  with chemicals, therefore dealing with the new type of inventory items made it even more interesting and exciting!

LabSuit goes to Vilnius for LOGIN Fare

Good news!!! We're flying to Vilnius, Lithuania to take part in LOGIN Fare, which will take place on 24-26 of May!!! Special thanks to  Startup Lithuania  team for organizing the pitch battle event at Tel Aviv and granting a winning place! LabSuit will have a great company with the other two startups from Israel, Distribyte , and SwitchRTC . We've got some introductions to PI's at Vilnius University, so we plan to get back with new labs that would fall in love with LabSuit! Read more here at the official Startup Lithuania page: http://www.startuplithuania.lt/en/news/switchrtc-distribyte-and-labsuit-coming-to-login-startup-fair-from-tel-aviv

Order awaits receiving longer than usual? LabSuit is here to help!

Problem   It's an essential part of the lab manager's duty to track if ordered items are delivered in a timely manner. Though it sounds like a simple task, it's not easy to execute, because of the multiple responsibilities lab managers have. In addition, it's not always clear, when an order item is supposed to be received. Solution Luckily, LabSuit has a creative solution for that. LabSuit uses a data-oriented approach.      For that approach to work,  a lab member needs to order a few times from a specific vendor. Eventually, LabSuit knows how fast the order is marked as received, the more orders are made from that vendor, the more accurate an average time-to-receive is. For example, let's say a lab manager ordered 17 items for a specific vendor in the past. Based on this historical data, LaSuit knows that items from that vendor, on average were marked as received after 8 days, which pretty accurately describes how things are working at that specific lab. So if it