Use Cases of AI In Tea/Coffee Business

CellStrat
3 min readJun 6, 2022

--

The global coffee industry was valued at approximately USD 102.15 billion in 2019 and the tea industry was USD 266.7 billion in 2020. For a producer, distributor, manufacturer or consumer in both these massive industries, the use of AI for manufacturing and delivering can play a vital role in optimizing critical processes and boosting profits.

  • Quality Check — AI can be used to improve the quality of tea and even the health of tea workers.

Drones can be used to spray the necessary fertilizers and pesticides over the crops which could be hazardous if done manually. It could lead to tuberculosis (TB), respiratory diseases or cancer. A drone can take high-quality aerial images which can be combined with AI and can help in doing a quality check of the crop.

  • Personalization — Organizations can build a unique profile of each customer based on their previous purchases and personal information, based on which they can be sent push notifications or alerts providing them personalized content or even offering them special discounts on their favorite beverage.
  • Product Recommendation — Machine Learning (ML) algorithms can be used to suggest customers, their favorite drink in the size they prefer which would make it really easy and time - saving to order online.
  • AI enabled robots — Robots can be incorporated into stores or cafes to make customer’s experiences more enjoyable and hassle free. They can be fed information about existing customers so the customers can be greeted and attended to by the robots accordingly.
  • Opening New Stores — AI can collect and analyze market data such as household distribution patterns and traffic volumes to predict the profitability of new beverage stores in the targeted area.
  • Customer Sentiment Analysis — AI can analyze customer sentiments accurately. This can help in assisting while placing an order, determining the satisfaction level of customers and even providing valuable feedback.
  • Logistics — From delivering the raw material i.e., tea leaves and coffee beans from farmers to retailers to delivering the final product to a customer, storage and transportation are very important. Tea leaves need to be kept away from sunlight and humid conditions. Green coffee beans are transported in jute or sisal bags. AI enabled storage has smart security features to detect product loss during transit or within a warehouse. This helps prevent further loss, increasing availability, and turnaround speed during downtime.
  • Supply Chain Management — AI can keep a well-maintained record of the inventories and reflect the same on websites or in stores. AI applications can predict order patterns to reduce or eliminate penalties caused by missed deliveries, providing benefits to every stakeholder in the process.

If you would like to get any of the business problems solved with AI, kindly contact us.

--

--

CellStrat
CellStrat

Written by CellStrat

A Simple and Unified AI Platform for Developers and Researchers.

No responses yet