Product re-ordering can be a significant challenge for biostartups and scaleups. Many electronic lab notebooks (ELNs) and laboratory information management systems (LIMS) do not seamlessly integrate with product inventory ordering systems. This gap has historically made it difficult for biostartups to connect lab inventory with ordering and experiment execution, hindering efficient lab automation.
To bridge this gap, Scispot has now embarked on a groundbreaking Quartzy integration. Quartzy, a leading scientific research supply marketplace used by more than 28,000 labs, offers a cloud-based platform that significantly enhances lab automation. Their platform allows researchers to submit an order request and track orders from any web-connected device.
"With Quartzy's connected lab platform, scientists and lab managers can expedite their research. By centralizing lab management processes, improving operations efficiency, and reducing time to discovery, we are enhancing lab automation," said Adam Regelmann, co-founder and Chief Product Officer, Quartzy.
This Quartzy integration allows biostartups to automatically sync inventory items in Quartzy to Scispot’s Materials Manager. Startups can then leverage Scispot to create an order request in Quartzy or set up automated re-ordering if the quantity of an item falls below a specified threshold, thus optimizing lab automation. Scispot also notifies users when reagents are running low.
“At Scispot, we are committed to simplifying and integrating lab management for biostartups, saving time and fast-tracking products to market,” said Satya Singh, co-founder & President, Scispot. “Our Quartzy integration empowers labs to seamlessly manage experimental workflows and inventory in one unified platform.”
With the Quartzy integration and advanced lab automation capabilities provided by Scispot and Quartzy, labs no longer have to worry about unexpectedly running out of reagents or the inefficiencies in re-ordering items. Companies can now automate inventory management and track their orders effortlessly, marking a significant advancement in lab automation.
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