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Expanding the full digitisation of COAs in the cannabis supply chain

Home » Expanding the full digitisation of COAs in the cannabis supply chain

Lucid Green has partnered with with CannaSafe, Cannalysis, and LabLynx to bring COA digitisation to over 400 labs across the US.

The intelligent UPC platform, Lucid Green has entered into partnerships with the cannabis testing labs and lab information systems (LIMS), building on its existing partnerships with Confident Cannabis and Sonoma Lab Works.

A digital COA reveals much more information to the consumer and brands gain more insight into how their products are being consumed, enabling them to modify offerings to best suit the needs of their consumers.

Co-founder and CEO of Lucid Green, Larry Levy, commented: “Lucid Green is committed to increasing trust and transparency at every point of the cannabis supply chain and with consumers.

Read more: New platform aims to transform US cannabis supply chain

“By expanding our partnerships with cannabis testing lab systems, we are cutting time and money inefficiencies, while ultimately giving consumers additional information to allow them to have a better cannabis experience. 

“This industry is not growing because stoners are smoking more weed. It’s growing because your spouse, neighbour, parents are beginning to see the benefits of using cannabis and want more information to feel confident about and inform their experience.”

Digital COAs that reflect full lab test results, including terpenes and cannabinoids, do not currently exist in the industry. As a result, point-of-sale, online menuing and ecommerce platforms are only receiving basic information that’s captured as part of the track and trace system. 

This limited data set reinforces the current purchasing behaviour which is fixated on THC levels and basic classifications like Sativa, Indica or hybrid.

Lucid Green is also modernising the cannabis industry with LucidIDs – QR codes that make the cannabis supply chain more efficient by allowing for true truck-to-shelf inventory intake, reducing manual labor and human errors and eliminating data cleanliness issues.

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