Fighting Sisyphean lab tasks with timely reminders. Order requests that aren't marked as received longer than usual would receive timely reminders!

Have you ever wondered what happens to your lab when ordered chemical arrives, but neither marked as received nor checked-in?

Your lab gets into the deadly loop and inventory becomes out-of-date. With every new item that skips the check-in process, whole system integrity is compromised, which at some point will haunt lab members back.

The solution

We have great news for our whole lab community!!!
Starting from today, LabSuit helps you to follow up on every order request!
For example, let's say you submit a request for imidazole. At some point it's status is advanced to "Ordered", but never changed to "Received". It's likely that the piece of a lab supply was received a long time ago, but no-one marked it as received. Or maybe the item is still stuck at supplier's site. When you have a lot of tasks to take care of, it becomes extremely challenging to follow up on these cases. Also, sometimes it may seem like a Sisyphean task.

How it works

From now, every item which is expected to be received, but takes longer than usual will trigger a reminder email. Every item type has it own typical delivery time. LabSuit takes advantage of that, and that's how items that are usually delivered in 4 days would trigger reminder email in a week, items that are usually delivered in 10 days, would trigger reminder email in 2 weeks and so on.
That's just another way of how LabSuit makes your lab work smart and not hard.

Comments

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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. ...

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