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Akerna Reveals Top 5 Cannabis Sales Days of 2020

Added 01-15-21 07:04:02pm EST - “Business intelligence from Akerna (Nasdaq: KERN), an enterprise software, leading compliance technology provider, and developer of the cannabis industry's first seed-to-sale enterprise resource planning (ERP) software technology (MJ…” - Finance.yahoo.com

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Posted By TheNewsCommenter: From Finance.yahoo.com: “Akerna Reveals Top 5 Cannabis Sales Days of 2020”. Below is an excerpt from the article.

DENVER, Jan. 15, 2021 /PRNewswire/ -- Business intelligence from Akerna (Nasdaq: KERN), an enterprise software, leading compliance technology provider, and developer of the cannabis industry's first seed-to-sale enterprise resource planning (ERP) software technology (MJ Platform®), reveals the Top 5 Cannabis Sales Days of 2020.

"2020 proved to be another booming year for cannabis, and the retail market continued to see that growth," commented James Ahrendt, BI Architect, Akerna. "We wanted to focus on the top single sales days of 2020, which, as you'll notice, all seem to follow our nationally celebrated holidays."

Indelibly marked by the outbreak of the COVID-19 virus, 2020 was a year of anomalies and strange events, even in the cannabis industry. Lockdown restrictions implemented throughout the United States in March played a significant role in affecting consumer spending habits, including pushing up daily cannabis sales and ultimately dethroning previous top sales days.

Over the past five years, 4/20 has routinely ranked as one of the top two sales days of the year. In 2020, however, the cannabis holiday did not even make the top 10 sales days. Similarly, the Friday before Memorial Day, which historically ranks as one of the highest cannabis sales days of the year, also failed to make the cut.

About MJ FreewayMJ Freeway is more than software as a service. Its flagship solution, MJ Platform, includes Platform Insights. Now operators, investors, and regulators can access the industry's largest and most statistically relevant database to drive data-driven business decisions.

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