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The Effects of Big Data and Technology on the Marijuana Industry

U.S. legal weed recorded over $8 billion sales in 2018 and is expected to quintuple to $41 billion by 2025.

With this in mind, cannabis business people are turning to Tech companies to optimize everything from crop management to distribution. Through big data and the application of technology, like artificial intelligence (AI) and machine learning, useful information is now available to the marijuana industry.

Here are ways that big data and technology influence the industry.

The Products


The enormous volume of data makes it possible for growers to maximize their yield for environmental changes and other factors and also adjust cannabis strains. Likewise, they can modify the CBD and THC levels and the genetic composition to the type of strains that are selling well in the market.

AI is making great strides in the cannabis industry using all available data and converting this into valuable information on an hourly basis providing helpful suggestions to growers. AI and data have the ability to alter the temperature, light, watering, humidity, and other elements involved in cannabis growth for a bountiful harvest. 

In the near future, the high-maintenance manual labor in marijuana cultivation will be reduced. These drivers can reduce energy expenditure, lower waste, and deliver a higher ROI.

Efficiency & Revenue


Big data and AI provide real-time information to businesses, reducing the risks in decision-making. Technology platforms track tons of data points to provide intelligence on a variety of cannabis industry variables such as items sold per budtender, production schedules, wholesale and retail prices, consumer behaviors and spending, reordering, inventory trends, growth cycles, and more. The data helps companies analyze the competition, gain the upper hand, get the jump on competitors.

As more states join the cannabis bandwagon the demand for cannabis will grow and there will be a fierce price war causing it to drop. Companies utilizing big data have insight on market trends, price changes, and volume fluctuations to make right decisions increasing revenues and profits.



Each state has its own laws for cannabis distribution, and it becomes more complicated with regulatory and security concerns. Fortunately, big data and technology allow patrons to receive their products right at their doorstep. 

There are online marketplace and technology platforms that offer legitimate access to cannabis products through secure and easy delivery by means of an app. They catch client information associated with the time taken to assess an item, acquisitions, uses, and more. 

Data is put into a work format allowing cannabis companies to gain a better understanding of the customer, buying habits, and how customers use their products. These are valuable inputs to businesses, they can earn a hefty return on their marketing investments by focusing on the customer’s messages, creating new items, and promotional offers.



Following the overwhelming guidelines is one of the biggest headaches of cannabis companies. Attention to routine work such as regulatory compliance, insurance, payment security, transportation logistics, and more veer away the attention from more important matters like marketing and selling of the brand.

There are online platforms that will help the business comply with regulations and eliminate mundane tasks so the company can concentrate on cannabis products. 

Customer Experience


Tech companies use data and AI to provide apps to the cannabis industry to improve customer experience. 

There is an AI chatbot used by patients to gain information and advice associated with medical cannabis. The AI, machine learning, and natural language processing are incorporated into the chatbot to examine signs and provide precise treatments.

Other chatbots link dispensaries with patients and recreational users. Utilizing AI, the chatbot answers shopper inquiries and permits dispensaries to access valuable data to boost sales.

A mobile app can improve client experiences using AI to sift over 30,000 cannabis strains, scan clinical journals, and analyze researches on cannabinoids. The information will be matched with 37 symptoms like cancer and insomnia to determine the type of strain that will treat the symptom.



Marijuana will show significant growth in years to come it is crucial to make data and technology the primary concern for companies in the business.

In a fast-paced business, these drivers can provide rapidly key information that is crucial to decision-making.

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