What is a convolutional neural network? What is the impact of CNN in general businesses? How can CNN help a business to grow? What impact will a CNN make in business growth? These are some basic questions of a business owner who wants to involve A.I in their business but is completely knowledgeless on A.I and its subsets. This article will explain what a CNN is and how it can be used for business growth?
Before understanding directly about CNN or Convolutional Neural Networks, it is way more important to understand the concept of Deep Learning and Machine Learning. What is Machine Learning? Machine Learning is a subset of Artificial Intelligence where machines are given knowledge using commands of Python and are asked to work accordingly. At the same moment, Deep Learning is a subset of Machine Learning. In Deep Learning, machines are given input in the form of an image or video and asked to read that image, generate insights, and give suggestions to act based on that insight.
Deep Learning is a very new technology which is commonly used by many large companies to generate insights of consumer purchase decisions and much more. But local business owners are completely unaware of the power of Deep Learning that can be used for their business. In this article, you will come to know how Deep Learning can be used in simple Retail Businesses and give it a boost.
Let’s understand some technical specifications of Deep Learning in the simplest form. Deep Learning is a subset of Machine Learning. It is used to analyze the image. It detects the pattern to make it sense and do classification. CNN has hidden layers called a convolutional layer of the model. The transformation of input to one layer and then its output as an input to another layer is called a convolutional operation.
Block Diagram
How can CNN help in a retail store:
Let’s move ahead with an idea as a model and will try to understand the use of CNN in it. Let’s consider a grocery store where customers come in and pick up products of their own choice. So, there are several racks filled with products. Users pick one out of that and camera placed in the rack will capture the image of the hand and product that is been picked up. Now that image will be sent to the software of the store where CNN Model is integrated. Now that image will be sent and CNN will transform the image from one layer to another depending upon the layers given during the development of the software. Then during the transformation of the image, the important features of the image will be given as an input to the other layer. In the same way to the third and so on. This way important features will be extracted and transformed to reduce the dimension of the image. At the final step of feature extraction, the image will be flattened and finally the output using previous data and current data will be extracted. Now the output that is received will be first saved in the database of the system for future reference and in the same manner the output will be sent to the system for billing with product information like product type, rack number, product value, total quantity, new reduced quantity and much more. The system will first generate the invoice of the product and will store this information.
How system will come to know the customer is regular or new?
For the above question Deep Learning’s CNN model is enough on its own. While capturing the image of the product, the camera will capture the details of the hand or face of the customer and will be sent to the database to read the previous data. In this way, if the image matches with the previous record, then the customer is regular with all the frequency and if the image doesn’t match the previous records then it is obvious the customer is new.
Why to capture the customer images?
It is important for businesses to create offers for the customers; it is important for customer experience in the stores. The system will analyze the data and get the report with the types of products often picked from the rack by the same customer along with the number of times in specific intervals of time. In this way, software will automatically send the regular marketing offers customized for the customer. Using previous record Machine Learning Model will then generate the list of the regular customer with the name of the products and the number of items that are frequently purchased on a specific date. In this way store marketing model will send the personalized message to the customer that the product quantity is about to end and get them purchased with new discounted rates.
Customer Security:
Sometimes it is important to get the consent of the customer for capturing their images. Then to solve this issue, the customer image is captured only for one time to generate the invoice and match the record. Once the invoice is generated and the record is matched with the customer then the image will not be saved and only product information will be saved for future use. This will save the privacy of the customer and the model will only match the image so no image will be shown in the system this will create another layer of data security.
Get the customized A.I software for your businesses:
Priority Technologies Inc. will be your perfect partner to develop software for your grocery or retail store. Fill the form and get a meeting arranged to discuss the requirements. This new era of business will be only for those who will integrate AI into their businesses rest will have to shut. Be the one out of competition and destroy your competition.
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