The use of machine learning has proven to bring numerous benefits to organizations. Every day, vast amounts of data are processed by machine learning algorithms, learning, and finding patterns and insights that were previously hidden and forgotten.
Business operations can be enhanced by machine learning, by data processing algorithms, thus optimizing many aspects of businesses, and increasing production.
For organizations to fully understand how they can optimize their business through machine learning, they must first understand how the technology works.
What is Machine Learning?
Like any other technology, Machine learning is an able to produce output structured information from data inputs. The significant difference is that Machine Learning can be trained with data, so that it learns and develops further. Using sample data fed to the machine learning algorithm, it learns and develops until the desired output is achieved.
What can machine learning be used for?
Machine learning has many different uses on businesses. Some of those are:
- Process Automation – Processes can be automated through machine learning, be improved through time, and learning. Any time there is an error or fault that requires human intervention, the algorithm learns from the new data and improves its capabilities, becoming more efficient with time.
- Pattern Identification – Machine learning algorithms can process substantial amounts of data and identify patterns that might not be obvious to humans. Through this, it’s able to make predictions on whatever data it’s currently processing, making decisions based on previous “experiences”.
Benefits of machine learning






As stated before, there are countless benefits with the use of machine learning, such as:
- Enhanced customer experience – Personalized messaging systems, automated chatbots, empowered with machine learning can provide your business with timely and efficient customer support and experience.
- Automation – Long and tedious tasks can be performed by machine learning while your employees can focus on more complex and manual tasks that require human input
- Error reduction – Repetitive tasks are prone to human error. By having a machine do them, it will follow instructions precisely without any deviations.
- Decision-making – Machine learning algorithms are capable of processing vast amounts of data, making decisions faster than humans could ever do.
Whatever the industry your business is part of, there are many uses for machine learning. No matter the industry, all businesses process data, and all can find uses for machine learning, and with that getting a competitive advantage.
STOCK.VISION – Store Shelves Monitoring powered by Machine Learning

For example, MakeWise’s STOCK.VISION, is a shelf monitoring solution that provides real time item availability information based on in-store camera footage. By combining machine learning technology with computer vision capabilities, it’s able to:
- Uses images from CCTV cameras to monitor
- Provide a real time item availability information
- Alerts with the shelf and product identification
- Mantaining the shelf is permanently monitored
With STOCK.VISION you can automate monitoring processes, improved accuracy and optimizing your store liability, giving you the opportunity to deployed human resources more effectively.
Confirm all MakeWise’s solutions here, and start your business digital transformation journey. Contact us!