Imagine the retail of the future. “Smart” cameras and robots make sure that the store shelves are regularly replenished with goods, control deliveries, analyze which product is most popular with customers and at what time. They use Artificial Intelligence. This is a technique already used in various companies. Casinos are among them. Get your Bizzo Casino login to see the amazing games that the online casino has to offer.

No loss in sales, no more situations when the product is in the warehouse of the store. But it is not on the shelf and no one knows about it, the last mile problem is solved.

This is not a utopia. But the competent use of artificial intelligence (AI) in retail, opportunities that are available to businesses right now. For example, in 2017, the American company Walmart announced that it would use special robots to scan shelves in 500 stores across the states. The introduction of robots does not lead to job losses. IT saves employees from performing repetitive and boring tasks, such as inventory, price checking, and the presence of unknown items.

Fortunately, AI-based solutions are appearing more and more on the IT market. They can prevent these problems and help reduce losses.

AI Insights for Retail

Artificial intelligence, machine learning, Big Data, video analytics and digitalization give retail insights. They help businesses create more accurate forecasts and improve services.

Computer Vision

Computer vision is more than just a mobile app or a ceiling-mounted camera that monitors store shelves. Modern cameras attached to a shelf opposite can monitor everything in front of them. While robots drive around stores, monitor shelves and take pictures with a 360-degree camera. Regardless of how it is implemented, the function of computer vision is to take pictures of the shelves and their contents. To check whether the goods are in place and whether they correspond to the retailer’s planogram.

In addition, the functionality of computer vision provides for the possibility of monitoring price tags in the store. For example, you can track whether the value indicated on the price tag corresponds to the promotional one.

Besides advantages, the computer vision system has disadvantages.

The need to purchase a system and a large number of cameras. For example, purchasing video recording services for a large chain of stores can be expensive.

Recognition of each photo. This process requires a significant amount of computing power and remains a significant part of the costs.

The view of the cameras depends on the location. For example, cameras located on the opposite shelf demonstrate a fairly good result. But devices mounted on the ceiling have a limited viewing angle and cannot fully fix the lower shelves.

The chambers do not take into account the depth of the shelves. For example, the first three boxes of juice were taken from the shelf. Ten more boxes remained in a row, but the location of the camera does not allow it to fix the goods deep in the shelf.

The equipment requires regular maintenance and repair.

If all these points are taken into account, then disadvantages can be turned into advantages. And used proactively. For example, to increase the amount of computing power, it is better to use hybrid clouds. This is the best option for scaling infrastructure in the future and performing analysis and calculations in the present.

Analytical Solutions and the Formation of Clear Tasks

The analytics solution is a service that receives information from the retailer and analyzes data about such parameters. From price, sales, stock, promotions and product list. During the analysis, the system detects anomalies.

For example, if during the analysis of checks and the balance of goods in the warehouse, the service revealed a discrepancy between the sales plan and the fact. Then, the analytical solution initiates verification of the information.

Such tasks are generated automatically. Store managers do not need to spend employee resources on photographing and analyzing shelves and racks. Store personnel are connected only after the inspection has been initiated. Automation of part of the processes in retail has a number of advantages. Saving staff time, saving money, no need to pay extra for the work of employees, elimination of errors due to the human factor, control of the actions of the “field” employees of the store.

In addition, analytical services provide the ability to track lost sales. Receipt monitoring gives an idea of the purchases that could be made. Based on this information, the service builds a sales plan, and by monitoring the activities of employees, it determines when sales resume. Thanks to this service, you can evaluate the impact of its work on reducing lost sales.

Machine Learning in Retail

This is a method of quickly marking and analyzing large amounts of information that is beyond the power of a person. Large retailers are already using artificial intelligence and machine learning technologies to increase sales. For example, to create personalized product recommendations in mailing lists. Or to analyze customer data: purchase frequency and amount, lifestyle, preferred price level and favorite product categories.

The algorithms learn from historical data such as transactions, customer interaction history, information from online sources, revenue data, etc. The quality and volume of data, as well as the length of the period over which they are collected, determine the accuracy of the model, which will be obtained in the end.

Automation and Algorithms

Algorithms help to build a system of priority tasks for staff. This is a kind of accent that signals to employees that they need to pay attention to the problem.

For example, the task of promoting new products in retail is to ensure that a new product is brought to the store shelves and receives due attention from buyers. This can be hindered by two things.

First, the human factor. For example, retailers may forget to take out a product or not find a place for it on the shelf.

Second, the technical issues related to updating the store planogram and related processes.

Both problems can be overcome with the help of business algorithms and technical solutions.

Innovation plays an important role in business. To promote them, store employees need at least: not to forget them in the warehouse, take them to the trading floor, find a place on the shelf and put them up. If there is no shelf space, this is an additional trigger for the back office to check if the planogram is correct. with issues that are not major but still very important.

Big Data and Forecasts

Thanks to the development of a culture of collecting and storing information in retail, huge amounts of data are accumulating. They provide a huge number of opportunities for obtaining valuable insights. Some scenarios are already actively used in retail. For example, forecasting sales or the effectiveness of promotions. But only a small part of entrepreneurs knows how to work with this data.

Digitalization in retail is facilitated by four elements.

• The information about the equipment used.
• The installation of sensors to determine the location and condition of the goods at the stages of the supply chain.
• The complete product information.
• The information about cameras that are responsible for the security and recognition of buyers.

The process of full digitalization of retail is now under development and may take the next decade. This is a very simple logic: the more data each company digitizes, the more the total amount of useful information in retail increases.

AI solves Two Main Business Problems: Revenue Growth and Cost Reduction

In the future, the integration of AI solutions in retail not only eliminates human error, but is also cheaper. Equipment purchased once is more profitable than regular remuneration of additional employees, and artificial intelligence contributes to the generation of additional time, which in turn leads to “sales rescue” in retail.

Thus, artificial intelligence not only solves applied problems, but also solves two main business problems: revenue growth and cost reduction.

For people, modern IT services and technologies have become a familiar tool that helps in everyday life. Using cloud storage or tracking performance from a fitness bracelet. Some innovative companies such as Bizzo Casino already use AI technology to ensure you an incredible gambling experience.

However, the digitalization of enterprises and businesses is still in its infancy. Even those companies that have already begun to master new technologies mainly use only basic tools. Like instant messengers and office applications in the cloud.

Many new ideas, architectures and models appear on the market every year. Some of them naturally go into oblivion due to lack of demand. But there are dozens of mature technologies that are ready for real-life business applications right now.

Advanced Cloud Computing

These are platforms that provide a single package of services for a specific business area.

The main advantage is that there is no need to use several separate services. It complicates the organization of interaction between them.

Virtual Reality (VR), Augmented Reality (AR) and Digital Twins (DT)

Having digitized a real industrial object or process, the created model can be used to predict the results of a particular action. Usage scenarios:

• Carrying out a virtual crash test of the car;
• checking the seismic stability of the building at the design stage;
• simulation of changes in traffic jams in the city, depending on the mode of operation of traffic lights.

Using AR, you can superimpose a visual interface on a digital model of an object. For example, for factory maintenance work. By superimposing the model on a real object, the specialist will see information relevant to his task:

• cable connection diagrams;
• codes for locks;
• sequence of operation of mechanisms;
• hints from employees who worked at the same place before.

Artificial Intelligence (AI), Process Robotization (RPA), Internet of Things (IoT)

Technology automates routine tasks, excluding humans from their performance. This not only results in savings due to the reduction in the required number of employees, but also eliminates the risk of errors during work.

In addition, process chain management is simplified. All indicators are displayed in real time in a single system. It allows you to quickly make the right decisions.

Big Data, Data Mining, Machine Learning

Data collection improves the quality of analysis of customer and market data. Businesses receive more detailed information. This includes information about trends and changes in demand and customer behavior.

Blockchain and Smart Contracts

Blockchain technologies contribute to automation. They increase the transparency and security of the company’s activities. It simplifies supply chain management. It reduces the risk of partner fraud, and makes it easy to track products and materials.

Blockchain and smart contracts can also be used to:

• asset management — real estate, transport, equipment;
• identification and management of personal data. Digital twins, increased security, simplification of authorization processes;
• monetization of data. A business gets the opportunity to earn on their data by selling them to other companies.

The main features of the blockchain are the openness and publicity of data. But also the impossibility of forging them.

Why Business Digitalization

Five main areas to note.

1. Increasing business efficiency and productivity. Routine processes are automated. Communications and management are improved. The accuracy and speed of decision-making are increased.
2. Improved customer experience. Data on customer behavior and preferences enables the creation of more personalized products and services. This improves customer satisfaction.
3. Increasing competitiveness. Digital technologies make business more efficient, flexible and fast.
4. Emergence of new opportunities. Businesses get the tools to create new products and services. And experiment with business models, and expand into new markets.
5. Transition to a digital economy. Artificial intelligence, big data, the Internet of things and blockchain enable the creation of business models aimed at generating income.

Together, these benefits increase the readiness of the business to market changes. This makes it more stable and increases profitability.

 Difficulties of Implementation

The introduction of digital technologies in business is complicated by a number of factors.

Personnel Shortage

Specialists with knowledge and experience in the field of new technologies are crucial. Otherwise, digitalization is impossible without. In the labor market, such personnel are in short supply. Existing employees in the company may not have the necessary training.

Unpreparedness of Management, Employees, Customers

In many companies, digitalization is complicated by the unwillingness of management to change. This process involves the restructuring of many or all business processes and enterprise culture. That can cause fear and reluctance to use new technologies. Employees who see digitalization as a risk of losing their jobs or the need to master skills that were not required before can also resist change.

Data Protection

Digitization can increase the amount of data a company processes. This may pose a threat to their privacy and security. Employees and customers may have concerns about the lack of sufficient data protection.

Technical Limitations

New technologies may not be compatible with systems and applications already in use in the enterprise. Also, the implementation can be complicated. For example, the availability of the network infrastructure. Or the speed of the Internet connection, or the standards adopted by the company, and others.

Implementation Cost

Digitalization is associated with significant costs for the purchase and implementation of technologies. But also staff training, and restructuring of business processes. For many companies, this may be financially unaffordable. Especially for small and medium enterprises.

Lack of Flexibility

A company may not be digitally ready due to a lack of agility and an innovative culture. For such an enterprise, adapting to change can be too much of a challenge.

The priorities of the company may not meet the requirements of the market and the needs of customers. In this case, there will be no understanding of how new technologies will help in business and achieve specific goals.

Also, the lack of readiness for implementation can be caused by a focus on reliability and stability. Some companies are afraid to take risks, and therefore are not ready to master new tools.

Legal Restrictions

Depending on the region and industry in which the company operates, there may be legal restrictions. An enterprise may need to comply with a number of rules and legal requirements that complicate digitalization. For example, regarding personal data, information security, the use of cryptocurrencies.

In some sectors, such as healthcare, finance, energy, there are industry norms and standards that must be observed. It can also complicate business digitalization.

Certain activities and the use of certain technologies may require permits and certificates from governments. For example, licenses to use software or perform specific types of work.

The Big Change Is Not For Now, But Soon…

The use of new digital technologies requires companies to take an integrated approach to development. Technological skills, innovation culture, strategies and business models need to be improved. And also to have a priority on meeting the needs of customers and developing partnerships.

Companies that make the digital transition ahead of their competitors will be in a better position. They will be able to release new products. They will better track customer needs and optimize workflows. Ultimately, this will provide businesses with sustainable development over enterprises that have not been able to make the change.

In general, launching and developing a successful application is a complex process. It requires a balanced approach and management of many risks and challenges. A good example is the National Casino application where all the rules for the perfect gambling app are respected. But proper planning, budget and team management, as well as continuous training and market analysis will help minimize risks and ensure the success of the project.

How Does a New Application Start?

To successfully launch a new application, you must follow a certain sequence of steps. First of all, conduct market research and determine the target audience. This will help you make the right choice of design, color palette and compose the functionality of the application in accordance with the needs of users.

In order for an application to be attractive to the target audience, a number of factors must be taken into account. Visual design, usability, functionality. All this directly affects the involvement of users and their trust in the application. You should also not forget about the marketing strategy. It should also attract exactly the audience that you have identified. It is important to understand that each audience is unique. So an individual approach is needed. It makes the application as attractive as possible for it.

After that, you need to develop an API for mobile applications. The API can be created in different server-side programming languages such as Java, C#, Python, NodeJS, etc.

The next step is to develop a mobile application. The main mobile operating systems are Android and iOS. So applications should be developed using popular programming languages such as Java for Android and Swift for iOS. Developers can also use less common mobile app development frameworks such as React Native.

An important step is to test the application before launching it. This will allow you to detect and correct errors and shortcomings. You’ll increase the quality and security of the application.

Also, keep in mind that launching an app will require an appropriate budget, development time, and a Product Owner. The team can be assembled for the project, if it does not exist. Project implementation can be a long and costly process. But if you pay attention to every factor, you can get the desired result.

After the successful completion of all stages, the application is ready to launch. You can start promoting on the market, attracting new users.

About the Risks

There are risks of underestimating the budget and development time, the absence of a Product Owner. A complex application can take anywhere from 6 to 12 months to develop. At the same time, several teams of developers, analysts, and testers will work. And there must be a Product Owner or a colleague who will combine this role. In fact, this is the main role. And without such a coordinator, the development timeline can be greatly delayed. If it is not possible to fully staff the teams, then there are outsourcing and outstaff companies that will help in product development. Or they will allocate employees to the team.

In general, launching and developing a successful application is a complex process. It requires a balanced approach and management of many risks and challenges.

Application Continuous Improvement Techniques

First of all, you need to use metrics and communicate with the target audience. The analysis of metrics will allow you to identify unused menu items. You’ll understand how interesting this or that functionality is for users. To improve the user experience, you can bring the most popular menu items to the main page and make them more convenient with the help of links and banners.

It is also important to constantly analyze and improve the usability of the application. For example, if users often watch models on the site and save links to mobile devices, then for a more convenient and comfortable search and purchase, it is necessary to create a function for opening links in the application.

The most efficient process for developing an application is in two-week sprints. Initially, the task of creating an application is divided into parts: “create an API”, “create an Android application”, “create an iOS application”. The task to “create an API” is divided into a list of required endpoints. And so on in depth, until the duration of the solution of a specific problem is less than eight working days. At the end of the sprint, the team should conduct a retrospective analysis, discuss what worked well and what can be improved in the next sprint.

This process allows you to quickly create a product and make changes to it with minimal cost and maximum efficiency.

About App Recognition

The successful operation of the application directly depends on the success of the business as a whole, and not only on the quality of the application itself – this is important to remember. We basically created a completely new application at our company and every four weeks we release a new release and add new features. The application is known among users due to its high brand awareness. Every month, more than one million unique users visit the site and the application – this is due to the high quality of goods and services of delivery, assistance and customer support.

When developing the application, the main difficulty was to build clear communication between the business and all team members. Business, marketing, designers, developers – everyone has different opinions and visions of processes and the end result. This difficulty was successfully overcome thanks to competent management and a friendly atmosphere.

The design for the application was created taking into account the accumulated experience. Each screen was analyzed based on the results of communication with the focus group for convenience and usability. Many edits were made before the final version appeared. The application is designed in such a way that the user can comfortably spend time in it. The functionality is made with an emphasis on the quick search for the necessary model of shoes, clothes or accessories. At the same time, it is possible to add products to “Favorites”, subscribe to the product. The user account displays statistics on orders, you can leave a review about the purchased product or after a long time to hand over the shoes for repair.

What Makes An Application Successful?

The value of an application is determined by how useful it can be for users. For example, an application with weather forecasts in Moscow is only valuable for residents or visitors of this city, and if there are no similar solutions on the market, then the value of this product will be high at first, but will gradually decrease with increasing competition. To increase the value of the application, you need to add new features, such as an increase in the number of cities, hourly weather forecast, rain or sudden temperature change alerts.