Software STEMMA

STEMMA software is based on artificial intelligence and computer vision. The system is adapted to the challenges of retail. AI for commerce is widespread in retail, 4RM Systems offers a solution adaptable to different tasks.

STEMMA software application areas:

1. 1. Product Recognition. Automate cash register operations, speed up service and reduce the likelihood of product identification errors. Application areas of software based on artificial intelligence and machine vision: SSC, VSO, cashier's seat.
2. 2. Control of display and availability of goods. Analysis of shelf occupancy, correct placement of goods with notification of the staff about the need for replenishment. Directions for using software based on AI: SSO AI,  shelving equipment, tobacco dispenser, bottler, refrigerator, etc.
3. 3. Analyzing shopper behavior. Creating heat maps to identify popular areas of the sales floor, which helps optimize placement of merchandise and promotional materials.
4. 4. Detecting theft and fraud. Control actions of cashiers and shoppers to prevent theft and detect suspicious behavior. Areas of use: SSC, VSO, cashier's place.
5. 5. Personalization of offers. Identification of regular customers to provide individual offers and discounts to increase loyalty. Usage directions: SSC, VSO, cashier's seat.  
6. 6. Preparation of datasets for self-study.

STEMMA software creates a dataset and trains a neural network to solve various computer vision tasks:

• Detection - finding and identifying an object in an image (SSC, VSO, cashier's seat);
• classification - assigning the image to a specific group (shelf assortment management) (tobacco dispenser, bottler, shelving, refrigerator);
• tracking - tracking the object (analysis of consumer behavior).

These tasks reveal the essence of using neural networks based on machine vision for retailers.

Learning is the problem of any neural network, one of the key technologies for creating artificial intelligence. This process involves a number of challenges such as: the need for large and diverse datasets, choosing the right network architecture, and the need for significant computational resources. STEMMA software is created by 4RM Systems developers taking into account the accumulated practical experience and knowledge of business processes in retail. Proprietary developments allow to train neural networks more efficiently for actual retail tasks:

1. 1. Creating synthetic data. STEMMA offers a set of synthetic data close to real-world conditions. These data include information about object sizes, quantities and other characteristics, which provides highly representative, reliable models.
2. 2. Prediction Model Optimization. Using synthetic data, STEMMA allows to build optimal prediction models, which helps to improve accuracy and reduce the number of errors in training neural networks.
3. 3. Accumulation of a priori knowledge. The software utilizes already accumulated a priori knowledge to improve the accuracy of new models, allowing faster adaptation to new data, situations.
4. 4. Reducing sensitivity to noise in the data. Algorithms are developed that minimize the negative impact of noise in the data, which improves the overall performance of neural networks.
5. 5. Saving computational resources. STEMMA's optimized algorithms and efficient data processing techniques significantly reduce the cost of computational resources, making neural network training more accessible and cost-effective.

Having extensive experience in retail hardware development and collaboration with various business partners has enabled the software development to address a key challenge: minimizing errors and biases in the algorithms, which increases the reliability of the output data.

STEMMA's main components

• hardware: cameras, sensors, computers that collect data and process it;
• software: algorithms and models that analyze data, make predictions, and make decisions;
• interfaces: mechanisms for interacting with the user;
• data: information used to train and run the models, including images, video and other forms of data;
• infrastructure: servers, cloud services and networks that store, process and transfer data.

Benefits of STEMMA software

The main advantages of STEMMA software, based on artificial intelligence and machine vision, is fully customizable for the retailer and his tasks;

• it is further trained in real conditions on real data;
• when adapting the software, it works with the retailer's conditions and selects the necessary methods/algorithms;
• is adapted to the physical environment and IT infrastructure of the company where it is implemented.

STEMMA software 

When using STEMMA software you get:

• a tool for monitoring;
• a tool for control;
• a tool for automation;
• a tool for analytics;
• a tool for maintaining competitiveness.

If you have any questions, you can contact 4RM Systems managers by phone or e-mail info@4rm.com.