#1 – Artificial Intelligence / Machine Learning

 

In general, developers are moving towards the inclusion of AI (Artificial Intelligence) and ML (machine learning) in their apps because it is one of the top trends of 2021. The use cases normally involve intelligent chatbot systems with natural language processing capabilities as well as virtual assistants. Because of the increasing popularity, businesses should implement these functionalities in their apps to make them smarter.

 

 

One of the top trends for 2021 is that AI will be utilized to generate insights about the user’s behavior and preferences as well as their general demographic profile by gathering data from different sources. AI will enable businesses to offer personalized content, features or functionality based on these insights.

 

 

#2 – App Personalization / Conversational UI

 

Developers are increasingly focusing on the creation of apps with personalized experiences for users. This trend will expand further in 2021, and businesses will create apps which can be modified based on user behavior or preferences.

Many developers are also looking forward to leveraging new technologies like AI/ML to create conversational interfaces that respond intuitively and naturally to the user’s input. 

This trend will be a crucial piece of an enterprise app strategy in the years to come because of various benefits like delivering top-quality customer experiences, reducing time-to-market for new products/services as well as reducing costs by decreasing development and maintenance efforts in general.

 

 

#3 – IoT Integration

 

Current top trends signify a rise in the use of internet-of-things (IoT) devices and integration of such solutions with top enterprise apps. 

Initially, this top trend can be expected to affect multiple industries such as healthcare, agriculture, manufacturing, supply chain/logistics, etc. However, top mobile app developers are expecting this trend to spread to other areas as well such as retail and travel/hospitality. 

To deliver top-notch user experiences, top businesses will look at leveraging mobile app development services in order to create combined solutions which connect various IoT devices (such as printers, photocopiers, cameras, etc.) with top enterprise apps.

 

 

#4 – Augmented Reality (AR) / Virtual Reality (VR)

 

Virtual reality (VR) and augmented reality (AR) offer plenty of opportunities to develop innovative applications for top industries like manufacturing, healthcare, etc.

With AR/VR solutions becoming more accessible and affordable with time as well as mobile app developers focusing on quality apps in general, we can expect this technology to gain popularity rapidly over the next two years.

 

 

#5 – Instant Messaging Apps Integration

 

One of the top trends in mobile apps is to integrate seamlessly with instant messaging apps like WhatsApp or Kik and help users finish a desired task, such as placing an order or sharing data. These apps also provide additional functionalities to the user such as tracking their package delivery status or receiving a promotional coupon offer from top businesses. 

This trend will continue to evolve in 2021 and is expected to become even more prominent in the coming years.

 

 

#6 – Blockchain Technology

 

Industries like finance and healthcare are looking at leveraging blockchain technology for top enterprise apps. Additionally, blockchain is also being used to create functionalities which record and store data securely as well as enable users to share or exchange data with others across the internet without any effort from their side. 

Blockchain technology is expected to boost mobile apps in the coming years as it is one of the top trends that can help top businesses deliver secure and transparent user experiences. 

 

 

#7 – Mobile Payments

 

Mobile payments are set to make a huge impact on top enterprise apps, as businesses are constantly trying out different methods for integrating mobile payment solutions with top enterprise apps. This trend can be expected to benefit multiple industries ranging from travel to retail to finance. 

 

 

#8 – Cloud-Based Solutions

 

There is a general trend towards cloud-based computing which has major implications for mobile apps.  In such an environment, businesses are increasingly focusing on enterprise apps which can access cloud-based services and add more value to the end-user.  

Mobile applications which make use of top cloud platforms like Amazon Web Services, IBM Bluemix and Microsoft Azure are expected to benefit greatly from this trend, and this is a great opportunity for budding entrepreneurs as well as existing companies.

 

 

#9 – Cognitive Computing

 

Cognitive computing refers to computers that learn from data and execute various tasks based on top-notch algorithms. Using cognitive computers has immense potential, in various situations such as customer service automation and predictive maintenance. By 2021, mobile app developers will leverage cognitive technology to build apps which act as catalysts for innovation and allow businesses to generate better returns on investment.

 

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

Machine learning is machine training that provides computers with the ability to learn without being explicitly programmed. Statistical learning involves applying math and statistics to complex problems. Machine learning can be applied to any area where information has been digitized (e.g., images, sound, text) and machine learned models built from basic machine learning algorithms can be used in a wide variety of tasks requiring pattern recognition or predictions.

The following is an overview of machine learning vs statistical learning.

 

 

Machine Learning

 

In machine learning, machine learners are supposed to tolerate uncertainty or ambiguity; machine learners do not need to be certain of the solution. Machine learning focuses on extracting knowledge from data and includes techniques for concept formation, pattern detection, automated feature selection methodologies such as clustering, regression analysis etc. Automated machine learning includes the following steps:

1. Data collection: Data sets are selected to be used for machine learning; ML algorithms use these data sets
2. Data analysis: It is essential to do an exploratory analysis of the machine learned dataset as it helps in understanding the complexity of machine learning problems at hand and also helps in developing appropriate ML algorithms.
3. Learning & making predictions: Algorithms can help machines learn and make predictions by extracting features from data.
4. Model evaluation: Model performance is evaluated using validation methodologies such as holdout method, cross validation etc.

The machine learning process may involve these steps when this model is used for predictive or classification purposes. Machine learning has a wide scope and huge applications in today’s world.

 

 

Statistical Learning

 

On the other hand, statistical learning has more focus on data analysis and modeling. The main purpose of statistical learning is to understand patterns in data and aims at providing insights into the data by developing models that explain the underlying process causing these observations.

Unlike machine learners, statistical learners need to be certain of the solution; statistical learners are intolerant of uncertainty.

Statistical learning is not new and has been around for centuries but with advancements in technology it has gained popularity. It has a strong foundation in probability, and machine learning algorithms are based on statistical machine learning techniques.

 

 

A Deeper Understanding of Machine Learning and Statistical Learning

 

For machine learning, it does not matter if the automation process can answer a question. As long as it can give an accurate estimate with reasonable accuracy, machine learners are happy.

Different ML techniques have different capabilities and carry different advantages; this is the reason machine learning is very popular in many applications today. Machine learned models built from basic algorithms can be used in a wide variety of  tasks requiring pattern recognition or predictions. Statistical machine learning involves applying ML models and concepts to statistical problems where models/algorithms are uncertain about the underlying process causing observations.

Machine learning is not new; it has been around for centuries but with advancements in technology it has gained popularity and its scope of applications have increased very rapidly. 

Machine learners (ML) make use of ML algorithms and statistical learning algorithms but statistical learners (SL) make use of simple linear regression (SLR), generalized linear models (GLM) etc. ML problems can be solved via coding (e.g., linear regression) whereas for SL it is easier to solve using simple algorithms that do not require any pre-programming. With statistical learning, we can make use of mathematical models which have stochastic components, such as generalized linear models (GLM).  ML is a branch of computer science, at the heart of which lies algorithms; SL is a field that deals with data analysis and modeling. Machine learning makes use of both supervised and unsupervised machine learning models whereas statistical learning only uses conventional statistical models. ML algorithms are not designed to capture the real-world assumptions that go into creating a statistical model. Statistical learners are concerned with how well their model fits the data rather than what it would look like. ML is more related to computer science and statistical learning is a part of statistics.

 

 

Conclusion

 

Based on the above discussion we can say that both statistical learning and machine learning are used on different occasions. Machine learning and statistical learning are two different fields where both are based on statistics; however, they differ in several aspects such as methodology of studying data, applications, etc. The scope of machine learners is wider than that of statistical learners since ML has a larger set of algorithms, whereas statistical learners only use traditional statistics. Machine Learning is based on the randomized search technique while statistical learning involves performing regression analysis and building models which allow us to predict future events.

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

By now, you probably know that remote work and remote teams are here to stay.

They’ve become more popular ever since the pandemic—with studies showing remote workers report greater job satisfaction, fewer headaches, and higher levels of effort compared to their in-office colleagues. This shouldn’t surprise anyone who has worked on a remote team before; Remote workers enjoy the freedom to work anywhere they want when their work schedule is flexible.

That freedom has many remote workers reporting higher levels of effort on the job as well. That’s why remote jobs often have longer interview processes; companies want to ensure that remote candidates aren’t just remote because it’s easy for them, but because they love it.

However, while remote workers have fewer headaches and report higher levels of effort, remote teams as a whole can still face problems. Let’s go over some of these pain points, and how they can be resolved with technology.

 

 

#1 Communication

 

Communication is most often cited as the top problem remote teams face—that’s why 37% of remote team leaders use video conferencing tools in order to stay in touch with remote workers. In fact, video conferencing is the top choice for remote communication of all kinds; remote team leaders even report that face-to-face meetings are more useful than in-person ones.

Virtual teams also benefit from technologies that facilitate remote meeting scheduling, such as workforce automation software. Automating remote meeting scheduling helps remote workers feel more a part of the team and helps remote teams to better coordinate their schedules.

Remote workers also depend on meeting software to help schedule online meetings that actually work for everyone involved, which is why some remote workers prefer video conferencing or virtual meeting software to an in-person one—they communicate with remote colleagues every week, rather than just the occasional meetings.

 

 

#2 Work/Life Balance

 

Work-life balance is another problem cited by remote team leaders , with 22% indicating it is their biggest remote work issue.

One of the challenges in remote work is that you can’t jump into a coworker’s office to talk. This means it is more difficult for remote teams to get their employees invested in the job and therefore want remote employees to feel as much of a part of the team as possible.

Remote team leaders report that virtual work can be more challenging to balance than in-office work if remote workers aren’t given the right tools and technology. However remote work is still becoming more popular—with remote workspaces like WeWork popping up all over the place.

Workplace flexibility or remote work isn’t for everyone, but small tweaks like working from a space other than your home office make it easier to get work done.

 

 

#3 Management of Remote Workers and Teams

 

The third most popular problem remote team leaders face is management of remote workers and remote teams.

Remote team leaders report finding the management of remote teams particularly difficult, with only one-in-four remote teams reporting that they’re effectively managed.

If companies want remote work to keep growing, this has to change. Remote teams need the right communication tools and management support too.

Remote managers can help workers feel a greater part of remote teams by helping them to understand the importance of remote work—by asking how they feel about remote work fairly often, for instance. They can also provide the right tech support, to help employees solve all issues in a timely manner.

 

 

#4 Remote Communication and Collaboration Tools

 

The people in remote teams are not the only problem, as the use of remote communication and collaboration tools can have its own limitations—with only half of remote team leaders saying they are using them effectively.

Remote teams need communication and collaboration tools to better communicate with one another when it comes to projects or tasks . The best remote communication software will make talking to a remote colleague as easy as talking to a coworker in the office.

Remote teams should use communication tools that are compatible with remote work and remote managers should be sure to help workers test out the collaboration platforms to make it easier for employees to use them effectively.

 

 

#5 Employers’ Attitudes Toward Remote Work

 

Employer attitudes toward remote work is another problem team leaders cited as part of their remote work problems . Employers need to understand how important telecommuting can be so that they’re willing to invest in remote communication tools and resources for virtual workers. Remote teams need those resources so they can find job satisfaction —so they don’t feel like just cogs in online workspaces.

Employer attitudes toward remote work also have to change because remote workers can actually be more productive than their office-based counterparts . The right remote collaboration software and remote communication platforms will help remote teams overcome some of the other remote work problems remote team leaders cited—by making remote communication feel just as easy as talking over the phone, for instance.

Remote workers shouldn’t be feeling like they’re missing out on perks that in-office employees get. They should feel motivated and satisfied with remote work, like it’s a perk itself . When employers understand this, they’ll stop having negative attitudes about remote work and start investing in tools that make life easier for both the employer and the worker—they may even become fans of remote work.

 

 

#6 Remote Work Is Inflexible

 

Remote work is inflexible when remote workers can’t find work that fits their schedules. Some remote teams find this a challenge, as well. They need to be flexible because remote workers may have different needs and wants than office-based coworkers. Remote managers can solve this problem by using telecommuting policies that are more flexible in terms of time off requests and remote working hours. Flexibility is essential in remote teams, remote management and remote leadership.

Remote workers need managers who understand that remote workers may work different hours, days or even weeks than in-house workers. By using a scheduling tool, employees can easily communicate their availability to their boss and maintain a remote work schedule without feeling like they’re missing out on anything.

 

 

#7 Not Understanding Telecommuting Tendencies

 

Finally, one of the most common remote team problems is an understandable one: misunderstanding telecommuting tendencies of individual remote employees and not getting enough information about how each remote worker works best when it comes to telecommuting policies. Remote management can require some adjusting—especially when it comes to telecommuting preferences. Sometimes these differences make it harder for remote workers to feel remote from remote workspaces, remote coworkers and remote management.

Remote workers need remote managers who understand that not all remote workers will choose the same working schedule. Some may prefer a remote work schedule that allows them to take weekends off. Others may want to telecommute during their lunch hour or only in the late evening—whatever works best for them and is achievable with network latency, time zone differences and other factors that can affect communication when it comes to remote work.

Employees may also have remote communication preferences. Some remote teams are distributed across the world, so they need team leaders who understand that remote workers may prefer a different type of remote working platform or meeting software. If remote employees feel like their boss doesn’t listen to their preferences and just forces them into a remote workspace where they don’t feel productive, that will lead to major issues in their productivity. That is why it is crucial to take time and evaluate each employee to see what works best for them.

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

There isn’t anything that has a bigger effect on your software-as-a-service product revenue than pricing models. Choosing the proper monetization strategy, however, is a difficult task for many companies.

 

To help shed some light on the subject, we’ve put up a comprehensive guide to the most popular SaaS pricing strategies. In this article, you will find out the basic B2B SaaS pricing models and learn how to adopt them properly from popular SaaS companies.

 

 

 

What Are SaaS Pricing Models?

 

In simple words, a SaaS pricing model is a method that companies use to determine the optimum price for their cloud product or service.

Your main goal is to strike the right balance between value and profit. On one hand, you want to assist consumers in using your product. On the other hand, you expect to be fairly compensated for your help. You’ll be able to build a steady and successful SaaS business if you strike the right balance.

Consider the following criteria while deciding on the best SaaS pricing model:

 

• Internal: revenue targets, brand positioning, and target markets;
• External: consumer demand, competition pricing, and market trends.

 

 

Why Are SaaS Pricing Best Practices Important?

 

As we all know, the right revenue model is critical for the SaaS business. What are the reasons for its critical importance? Why do you need to optimize your pricing when you could just set them on instinct?

Other companies are likely to find SaaS pricing models difficult as well. For the same reasons as you, they may be reluctant to improve their SaaS business models. Even yet, the right price will help you stand out from the crowd of competitors selling similar products.

 

You Can Provide Genuine Value to Your Consumers.

 

Consumers want products that are simple to justify. They prefer to think of their purchases as sound financial investments. Make the actual value of your product your priority by establishing a SaaS pricing that customers are willing to pay.

 

It Contributes to the Improvement of Unit Economics.

 

Essentially, the success of your SaaS company is determined by the proper balance of two important criteria. Customer lifetime value (CLV) and customer acquisition cost (CAC) are two of them. The first measure should be much more important than the second. Otherwise, there will be no progress.

You can kill two birds with one stone by using the best SaaS pricing model. Better positioning may help you save money on customer acquisition. You may also increase customer lifetime value by improving retention.

 

 

Three Basic SaaS Pricing Models

 

We’ll look at three categories of pricing in this section: cost-based, market-based, and value-based pricing.

 

1. Cost-Based SaaS Pricing

 

The simplest to start with, explain, and calculate is cost-based pricing, which is based on the cost of developing your products or professional services.

To decide what you’ll charge for your SaaS business, just assess how much it costs to create and maintain a product, then add a tiny percentage mark-up. For example, if your software costs $100 to develop, you can sell it for $130 and make a 30% profit.

The cost-based pricing model for SaaS is often the starting point. You’ll see that you’re wasting money over time. That’s because the value you produce isn’t related to how much it costs you to do it.

Even after they’ve developed into highly complex categories, industries, and solutions, many professional services still sell under a cost + markup pricing model. Cost-based pricers should regularly question themselves, “How can I move up the value chain?”

 

 

2. Market-Based SaaS Pricing

 

Market-based pricing is tough to avoid middle ground between cost-based and value-based pricing.

Look at what’s already available in the market, what your competitors are charging, and how you fit into your customers’ existing budgets to discover market-based pricing.

This may be an important step in gathering data and learning about the industry. It’s also simpler for your customers to comprehend than a value-based SaaS pricing strategy since it’s clear and allows them to directly compare you to your competitors.

However, the disadvantage of this model is that you may not perform well compared to your competitors, putting you at risk of being demoted to the position of “vendor” rather than “business partner.”

With market-based pricing, you have no influence over how your prospective prospects and consumers compare you to the other options they have. You must adhere to the definition that your category has determined to be the most valuable and at what price range. If you offer a service with different features or differentiators, this may be a real challenge. Even if your product is unique, the price you pay will be set by the category you compete.

 

 

3. Value-Based SaaS Pricing

 

The easiest way to explain value-based pricing is that it is based on the results of your customers’ experiences (the value you deliver). Value-based pricing is extremely customer-friendly since it allows you to become a partner and provides additional profit opportunities.

Since this SaaS pricing strategy isn’t concerned with your prices (or those of your competitors), you can concentrate on what your target market expects from your product. You may increase your SaaS pricing and generate more revenue if consumers are willing to pay more because they see greater value in your products.

It’s a pretty binary outcome: if you utilize value-based pricing, your profitability should increase; if it doesn’t, you’ve simply proved to yourself that you’re not in the proper market if you can’t turn the value you’re providing into your price model. To put it another way, what you’re doing in the particular use case may not be worthwhile.

Finally, with value-based pricing, you have complete control over the narrative and how consumers perceive what you do compared to the competitors. You choose the positioning vectors used to establish what value is and how much people are ready to pay for it.

Controlling your messaging and positioning is beneficial since it prevents you from being a price fighter or standardized in your interactions with prospects.

 

 

Conclusion

 

We’ve covered a variety of SaaS pricing strategies in the hopes that you’ll be able to choose the best one for you. Don’t forget to revise your price regularly. Thus, you’ll be able to stay competitive and grow your SaaS business.

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

APIs are increasingly being used by organizations to increase efficiency and provide better customer services. In fact, many individuals use API-enabled programs regularly and are unaware of it.

Google Street View, Twitter, and Sap are just a few of the many apps that use APIs to allow data transfer from one program to another. Despite its widespread use, many people have no idea what an API is and how it functions.

There are four categories of APIs widely used in internet-based applications: public, private, partner, and composite, which we will discuss further in the article below.

 

What Does an API Stand For?

 

An API stands for Application Programming Interface, a collection of methods that allows programs to access data and communicate with other software applications, software platforms, or organizations. To put it simply, an API provides a user’s requests to a system and then returns the system’s answer to the user.

 

 

What Is an API?

 

APIs, also known as web services, operate on the side whenever two apps communicate, from exchanging instant messaging to purchasing tickets using online ticketing services. Everything operates in the background, resulting in a seamless user experience.

 

APIs are used by programs to improve their products by gaining access to another company’s data, programs, resources, and code, allowing them to provide more functionality while saving money and time.

 

 

How Does an API Work?

 

API is a type of application where you request your app to do something for you, and the app ultimately uses APIs to interact with the web application and inform it what to do. This is referred to as a request. Following that, the server then sends an answer to the “mediator,” who will transmit it to your app.

 

Every interaction involves a server app that provides the information and a consumer, which means the app is making a request. If a server can perform the requested action, the API would return the appropriate resource.

 

If users want to access a resource that does not exist on the server and that the user is not authorized to access, then the API would return an error code. APIs impose limited access control to the servers by only giving data that has been given access to local entities.

 

 

What Is a Web API?

 

The HTTP interface can be used to access web APIs. This is a framework for creating and developing HTTP-based services. Various technologies, including java and web development, can be used to create a web API. Web APIs can be accessed via a web application or a web browser. Web APIs are essentially a web development idea.

 

Web APIs are restricted to the client-side of web applications as they do not include information about a web server or an internet browser. Web API services are utilized when a program needs to be used on a distributed network and deliver services on various devices such as computers, mobile phones, etc. Web APIs are a more advanced version of a web-based application.

 

 

Types of APIs

 

There are four main types of APIs. We will discuss their differences and uses below:

 

Public API

 

A public API is accessible to the public and may be used by any kind of developer or company. A company that develops and offers a public API will have a business plan that includes sharing its data and apps with some other companies.

Security and authorization for public APIs are generally modest. A company may also try to monetize the API by charging a fee per call to use the public API.

 

Partner API

 

APIs accessible to business leaders are referred to as Partner APIs. They are also not open to the public and require special permission to enter. Partner APIs, like open APIs, is the tip of the iceberg because they’re usually used to interact outside of the company’s limits.

They are often available through a public API web interface, which developers may use in self-service modes. Although open APIs are entirely accessible, they give accessibility to partner APIs that require an onboarding procedure with a particular verification workflow.

 

Private API

 

A private API is solely designed for usage within the organization to link data and systems. A private API, for example, can link an institution’s core HR systems.

Private APIs have typically had poor security or no security at all since they are designed for internal usage, and other such security standards are presumed to be in effect via other rules. This is improving, although increased threat identification and regulatory issues have a bigger impact on a group’s API strategy.

 

Composite API

 

Composite APIs are made up of numerous information or service APIs. These are created by utilizing an API development tool’s API administration features. They enable developers to connect many endpoints in a single call. Composite APIs are helpful in a platform’s architectural design, for example, when you need data from many services to complete a single operation.

Composite APIs could be useful for addressing complicated or closely linked API behaviors, and they can occasionally outperform individual APIs in terms of power and stability.

 

 

The Benefits of Using API

 

Helps in Increasing Speed

 

Using APIs provides the workforce with a standardized set of conventions for how applications communicate. It helps to expedite your workflow by enabling you to readily assess features and functionality as well as evaluate the value propositions in a much more efficient manner. Furthermore, APIs offer standard means of communicating information and abilities across organizations, which improves transparency.

 

Simplifies and Promotes Integration

 

APIs simplify and promote integration by allowing various software to restructure their interrelationships based on the demands of your organization. This allows your organization to get greater results while lowering development expenses. Furthermore, you may link your apps with third-party services to increase usability.

 

Gives Better Services

 

APIs facilitate the creation of new programs, marketing strategies, and digital goods by allowing for effective linkage with third-party goods and services. As a result, numerous developers and business owners are prepared to pay for its utilization.

 

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

With over four billion prescriptions issued each year in the United States, the need to guarantee that these medicines are appropriately administered is quickly growing. Medication management is more essential than ever before, given the risk of harmful drug interactions and the number of over-the-counter options accessible.

Medication tracking is an excellent way to keep track of your medication use and avoid any negative interactions. This tracking software enables physicians from various specialties to collaborate by giving them access to patients’ full medical records and histories and the ability to discover the various medications that a patient is prescribed, ensuring that no medications with known interactions are prescribed.

 

What Is Medication Management?

 

Medication management refers to a set of strategies for keeping track of medications. It is planned and carried out to ensure that medications are taken correctly and that the desired outcomes are achieved. When medication management programs are correctly implemented, they save costs and enhance care delivery, resulting in improved patient health.

 

Patients are often treated in a standard manner. Medication therapy management, on the other hand, is done on an individual basis. It’s important to note that not all patients react to medications in the same way. To create a personalized treatment plan that prevents re-admissions and death, it’s critical to track patients’ responses to their medication dosage and consider any medications they’re currently taking. This is particularly important when it comes to treating those who have chronic illnesses.

 

 

How Does It Work?

 

Medical tracking software is created with the primary goal of helping patients in adhering to their medication prescriptions. Patients may use their smartphones or other electronic devices to access these tracking programs. Medication tracking software enables you to upload medications, along with their physical description and use instructions, to any mobile device.

 

A drug interaction checker is included in a quality tracking software. If a newly given medication would react negatively with a current regimen, a warning will be issued to doctors using these capabilities. Additionally, patient allergies can be entered into the platform, alerting medical professionals if a potential allergic reaction to a prescription medicine occurs.

 

Medical tracking software notifies patients when and how much medicine they should take. Advanced applications will also display pictures and the prescribed dosage to assist patients in avoiding medication errors.

 

 

Must-Have Features

 

The functionality of a medication management system is only as good as its features. These features must improve usability for both patients and providers.

 

Easy-to-Use Interface

 

Users can easily input medication names, physical descriptions, doses, and timetables using intuitive interfaces, making apps and software easier to use. To minimize the risk of taking the incorrect medication, the software should display each pill using icons. Users can be reminded when it’s time to take their medicine, reschedule an alert, and utilize GPS functionality to send reminders when they’re close to their pill-taking location.

 

Checker for Drug Interactions

 

A drug-to-drug interaction checker is another essential feature of any medication tracking software. This is particularly important for patients who have drug sensitivities or who take multiple medications. When a healthcare professional adds a new medicine into the drug monitoring system, the system warns them whether it may interact negatively with an existing regimen. This reduces the risk of medication interactions causing damage.

 

Track Your Vitals

 

In the medical profession, having up-to-date patient health information is essential. A good medication management software would include a section for keeping track of vital signs. Blood pressure, weight, and physical activity are examples of these. This data may be shared with medical experts, who can adjust patients’ prescriptions if their vital signs change.

 

Reminders for Rx Refills

 

The best tracking apps include built-in reminders for when it’s time to refill. These make it simple for patients to know when it’s time to get a refill. This information would help prevent missed doses as a result of a delay in receiving refills from the pharmacy. It also relieves patients of the burden of continuously tracking their pill amounts to determine when a refill is required.

 

Shareable Reporting

 

While medication tracking software may be very beneficial to patients, it can also be highly beneficial to caregivers. Patients may simply share their data with any authorized caregiver using the best software programs available. A patient may share their medication tracking history with a new caregiver in a matter of seconds, keeping them up to date on their prescription schedule and doses.

 

Synchronization on a Multi-Device Basis

 

Users may access and get alerts from multiple linked devices by synchronizing them. This feature should also display pharmacies on a map and offer patients and caregivers access to chat rooms to interact with care teams, video conferencing, billing, and other services.

 

 

Benefits of Medication Tracking Apps

 

Medication tracking applications have the main advantage of providing an electronic medication administration record. This provides up-to-date information on the medicines a patient is taking or has taken in the past to both patients and doctors. With easy reminders, the record also helps patients in taking the correct dose at the proper time.

 

Information regarding mixing over-the-counter and prescription medicines is included in some of the best medication tracking programs. Patients may check whether over-the-counter medications interact with the prescriptions they’re taking with a single touch on the screen. This enables people to take over-the-counter medicines with better safety.

 

When patients have a chronic health condition, one of the most important advantages of a medication tracking program is that it enables them to become more involved with their treatment. Keeping patients on board with their medicines is one of the biggest concerns for doctors. Many of these tracking programs enable people with chronic illnesses to engage in chat rooms, internet forums, and other useful services.

 

Both patients and doctors may benefit from these drug tracking apps in terms of peace of mind. They ensure that the patient is taking the appropriate medications at the right time. There’s no need to stress about remembering when and how much medicine you took. This information can be found by just looking at the app.

 

Physicians may easily benefit from knowing that the medicines they’re giving will not interfere with anything else a patient is taking. It also enables doctors to monitor whether their patients adhere to their dosage schedules and amounts. This helps to prevent the possibility of future diagnoses being affected by patient error.

 

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

Over the past decade, there has been much curiosity and discussion about ubiquitous or ultra-wideband (UWB) communications as it relates to agriculture. So many questions are being asked: How will UWB impact agriculture? Will it revolutionize agriculture? Can a new technology, such as UWB, deliver what is needed for success in agriculture now and into the future?

One of the main uses for UWB is in agriculture. There are specific, well-defined use cases that have been identified by work done to date and some of those will be highlighted. A tremendous amount of effort has been put forth over many years to define the requirements for agricultural communications as a basis for its own industry standard.

 

Using UWB for agricultural applications now and in the near term will help growers to be more efficient, allowing them to increase yields and overall profits by improving precision agriculture.

 

 

Yield Mapping

 

UWB will help improve and provide new capabilities for yield mapping. This is a technology that is already available to farmers in the form of yield-mapping equipment (e.g., PrimeTime + RTK from Deere & Company). Yield mapping has been around for many years, but there are still challenges in using equipment today that can cause growers to miss out on learning about opportunities they could be taking advantage of each year.

Yield mapping often requires multiple passes by sensors or instruments. In some cases, it may require two weeks or more to collect all of the data necessary for adequate determination of yields at one location.  This is not practical for most growers or even agronomists.

At the same time, new data sources are available to help improve yield measurement and mapping capabilities, giving growers more opportunities than ever before. For instance, weather stations can now be used as a source of yield-determining data. In addition, industry experts are using satellite imagery that combines field boundaries with crop sensing information from satellites to improve yield maps.

 

 

Real-Time Locating Systems

 

Real-time locating systems (RTLS) are also being used to determine yields more accurately. RTLS offers the ability for farmers and agronomists to measure and compare actual versus predicted crop growth in near real-time by providing immediate access to information about yield at a specific geographic location.  

RTLS is used to capture yield data in many dimensions and provides farmers access to digital information about their fields, enabling decisions based on science rather than guesswork. 

 

 

Precision Farming

 

Another example of using UWB in agriculture relates to precision agriculture utilizing RTK-GPS. Current systems operate at L band (1 GHz) and this bandwidth has served agriculture well over the past decade. However, there is concern that this spectrum will soon be crowded and congested due to large numbers of private- and government-owned systems that operate on these frequencies.

UWB offers the possibility of extending precision agriculture to higher bandwidths, and eventually into the VHF spectrum (150 MHz), freeing up space in lower bands for new applications while maintaining backward compatibility with current technology.

It is also important to note that UWB offers a tremendous advantage over existing systems. Typically, one RTK base station is required per field to provide location information for all harvesting equipment. With UWB, multiple base stations can share data simultaneously through wireless links between those base stations connected via an IP network or central control point such as a smart phone or tablet in a vehicle traveling around the field. This allows more precise location tracking and reduces costs by sharing base stations throughout a defined area.

 

 

Wireless Communications

 

UWB also works for wireless communications. Wireless communications has tremendous implications in agriculture, as farmers are often using self-propelled equipment such as tractors and combine harvesters.  Providing flexibility and freedom from needing fixed base station antennas will help both farmers and manufacturers of agricultural sensors or instruments to reduce costs while improving precision on the farm.

UWB will enable GPS-like capabilities outdoors without line of sight via RF technologies operating at higher frequencies above 1 GHz. Many of these applications could be applied to precision agriculture with great benefit because GPS does not work well indoors or underground (e.g., silos) due to blockages from concrete or other materials.

 

 

Security Applications

 

UWB can also provide improved security in the field. For example, UWB tags could be hidden or embedded within farm equipment. These could include a UWB tag that provides location information on tractors and combines moving around a field or even UWB tagging of livestock to improve management functions such as tracking individual animals for better understanding of their movement patterns.

The tags would not have to be visible (as are UWB sensors used for control line mapping) and they would offer nearly unlimited battery life while maintaining accurate timing signals—marking an important advantage over RFID technologies that typically require frequent re-tagging due to power constraints from battery sources.

Similarly, UWB sensors hidden in livestock equipment could provide location information to researchers or animal caretakers for extensive monitoring of movement patterns.

 

 

The UWB Future in Agriculture

 

There have been numerous demonstrations of the applications that are possible with UWB—including precision agriculture. What is needed next is the standardization and implementation of these new wireless methods for specific business uses to take place within agriculture.  For example, a group of companies interested in mapping genetic material and developing efficient ways to distribute seeds may benefit from being involved with industry standards development groups so that their technology can be developed and expanded for use by farmers who want to efficiently grow crops through enhanced knowledge and monitoring capabilities.

UWB will certainly revolutionize how growers monitor their fields, harvest their crops, verify delivery, process payments, track inventory and manage production cycles. In addition to enabling newer applications across the gamut of farming activities, UWB will also enhance safety and efficiency through better management of equipment and livestock—improving the profitability of farm operations in the process.

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

Off-the-shelf software provides companies with readymade solutions that are easy to grab-and-go. Custom software is built from scratch to fulfill a customer’s need for a unique solution. Both off-the-shelf and custom software solutions have their own merits that make them ideal for certain types of businesses and projects.

 

 

 

 

 

 

Benefits of Off-the-Shelf Software

• Easy-to-use by average computer user
• Necessary components already included
• Extensive documentation / help guides
• Do not need to develop software
• Less expensive
• Can use right away

 

To start off, off-the-shelf software such as popular applications from Microsoft Office are designed to be used by the average computer user. This makes off-the-shelf software very intuitive to use, which is a major advantage in an enterprise setting where employees will be using it regularly for work purposes. In addition, off-the-shelf software usually has all the necessary components already built into it, making deployment easier than with custom developed software. Additionally, off-the-shelf applications include extensive documentation which allows users to learn how to operate the application quickly.

Being able to offload the burden of developing software is a big advantage off-the-shelf software has over custom software. Off-the-shelf software comes with standard features, functions and reports that are designed for businesses’ common application requirements such as human resource management, inventory control, payroll, accounting etc. As organizations can choose from a rich variety of off-the-shelf solutions, they don’t have to spend resources on research and development or test and evaluate new products. Moreover off-the-shelf applications provide readymade solutions that do not require companies to retrain staff members who will be using them. off the shelf business software can be easily configured or extended to satisfy a variety of needs. off the shelf business software has low cost and is easy to acquire. off-the-shelf business software allows organizations to focus their resources on specific customizations or extensions rather than building a custom solution from scratch.

 

 

Disadvantages of Off-the-Shelf Software

• Might not meet all business needs
• Less flexible

 

The main disadvantages of off-the-shelf software are that business needs can often be more specific or unique than off-the-shelf solutions. This means off the shelf software may not be able to fulfill all of an organization’s requirements. In addition, off-the-shelf applications do not have the ability to integrate data from external sources into their system.

Since off-the-shelf software is already developed and ready for use, off the shelf application development costs tend to be lower than developing a custom solution. However, off-the-shelf applications are limited in functionality by what they were designed for and what ingredients have been included during development. Therefore, off the shelf enterprise software does not allow companies to tailor it to support unique business processes.

 

 

Benefits of Custom Software

• Allows for greater flexibility
• Can integrate with readymade software
• Can scale up or down
• Customize as much as you want

 

Custom software is designed to fit an exact need. It makes use of off-the-shelf software components, but it may be built from the ground up using in-house programmers. While off-the-shelf software can address many business challenges, most businesses encounter issues that necessitate custom solutions.  

Custom software development has many advantages. These specifically tailored software solutions can be used to address off-the-shelf products’ limitations, such as lack of integration, inability to scale up or down, or difficulty in customization.  Custom-built software allows businesses to develop solutions that are tailored to their exact needs.  For example, the software can be designed to better fit the company’s unique business processes.

Customization simplifies business operations by enabling information integration and data exchange with other systems such as ERP or CRM. This boosts productivity and enhances workflow, making it easier for employees to access vital information at all times. Custom software has the ability to integrate seamlessly with enterprise applications without incurring any additional costs because of this customization.

Businesses that shall operate in several countries can customize their off-the-shelf software to make use of local language support as well as legal regulations for each country. They are also able to choose from a variety of currencies which will help them track expenses in different countries more accurately than off the shelf software that is not customized.

 

 

Disadvantages of Custom Software

• Longer time to develop
• More expensive

 

The main disadvantage of custom software is that it takes longer time to develop than just buying an off-the-shelf software and using it. Some companies do not have the patience for this, and tend to gravitate toward the off-the-shelf options, sacrificing flexibility.

Custom software is more expensive than off-the-shelf solutions because off-the shelf enterprise application development costs usually do not include customization. Custom programs also require testing and documentation which are additional expenses that off-the-shelf applications do not incur. However, off the shelf software can have hidden costs for organizations that don’t consider what changes may be needed as their businesses change over time.

 

 

Cost to Develop Custom Software

 

If you decide to go for the custom software development option, it is important to get a heads up on what costs will be incurred in the process.  Custom software development cost estimation mainly depends on two factors: how the custom-made software is being developed and what / how many features it will have.

Custom software is designed for a specific business. Therefore, custom software development costs are directly proportional to the features of the custom built application which includes future upgrades/maintenance via custom programming services, the time period allotted for custom development, i.e., whether it is short or long term scope of work based on commitment from clients end; this can be anything from 6 months to 12 months, etc., based on your requirement as per dialogues with your client manager.

So how much does custom software cost? That’s difficult to answer because custom software companies charge by the hour. The software company you choose might have a fixed price for certain customizations, but you may not get everything you want in custom development at that price.

The cost of developing custom software depends mostly on how complicated it is to implement. A simple enterprise solution might be comprised of one database coupled with one front end while an e-commerce system might require several interconnected databases along with different data entry screens and extensive reporting elements to display and track custom statistics.

To conclude, the cost to develop custom software depends on the level of complexity for your needs.

 

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

 

In order to run a smoothly functioning healthcare facility, automating various time-consuming and mundane processes can be extremely beneficial. From billing procedures to patient scheduling and appointment reminders, the advantages and applications of automation in healthcare are numerous.

Here are some of the benefits of automation in healthcare:

 

Cost Savings

Automation will enable healthcare organizations to cut down on manual processes, thereby saving on man-hours utilized for carrying out routine tasks. Apart from cutting costs, automating healthcare processes will also ensure that there is greater efficiency in health care facilities.

 

Reduced Human Errors

Although automation will only partially eliminate the risk of human error, it can reduce the risks to a great extent. Automation can ensure that human errors are reduced by automating various processes, thereby ensuring accuracy in the process of healthcare automation.

 

Ensures Accuracy in Medical Records

When automating health care facilities, you need to be sure that medical records are error-free. You can create a distinct database for storing all sorts of patient records, including the diagnosis and treatment details. You can also include information about the patients’ family history and previous treatments undergone by them in implementing automation in healthcare.

 

Enhances Patient Satisfaction With Automation in Healthcare

There are a number of healthcare systems that can be implemented for automating the patient experience. For instance, automating various processes pertaining to appointment scheduling will ensure that patients do not have to wait at long queues, thereby enhancing their overall experience at the doctor’s office.

 

 

Implications of Automation in Healthcare

 

Less Paperwork Associated With Healthcare Billing

While automating healthcare processes, you will come across a lot of tedious paperwork which involves editing and then re-editing medical bills to be submitted to insurance carriers. Needless to say, automating this will eliminate a number of redundant tasks associated with the healthcare billing process.

 

Automating Patient Scheduling and Reminders

For automating healthcare facilities, you need to ensure that each and every patient is made aware of their appointments and given timely reminders beforehand. You can automate the scheduling process, and automate various reminders associated with patient appointments. Through automating the appointment scheduling and reminder process, healthcare organizations can ensure that patients are given timely reminders for their appointments, thereby ensuring greater appointment attendance rates.

 

Assists With Proper Inventory Tracking and Drug Management

Automating inventory tracking is one of the most important aspects to consider if your healthcare organization is looking into automation. You can create an inventory database which can be used as a reference point for automating various processes pertaining to the healthcare facility’s inventory. Apart from maintaining inventories, you can also automate the drug management process, which will ensure that prescriptions are issued to patients in a timely manner, thereby eliminating unnecessary delays.

 

Automating Patient Education and Medical Research

As a healthcare organization, you will need to be sure that your patients are aware of their disease conditions. Now, you can automate various educational brochures used for automating health care facilities. Apart from automating educational brochures, various scientific research and case studies related to a specific medical condition can also be optimized.

 

Communications Between Healthcare Professionals With Automation in Healthcare

Automation in the healthcare industry will make it easy for various medical professionals such as doctors, nurses, and pharmacists to communicate with one another seamlessly, without the need for paper communication. This will eliminate a lot of unnecessary delays, thereby ensuring greater efficiency in automating the healthcare sector. Apart from automating communication between various medical professionals, you can also automate interactions with insurance carriers to speed up the medical process.

 

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

 

Online shopping has become so popular due to the imperative need to shop from home, and has now become the norm. We were affected both personally and professionally by the global pandemic. Businesses have changed almost every aspect of their operations to cope with the changing economic environment. It’s no different with eCommerce and Shopify!

 

When so many aspects of life have come to a standstill, eCommerce sales are surging. As Shopify entrepreneurs, you need to come up with creative ways to adapt to these changes.

 

Shopify has therefore outlined the top five trends for eCommerce businesses in 2021.

 

Record Level of Online Competition Fueled by the eCommerce Boom

 

You need to be on your game since you are competing against fierce opponents. To win over new customers and keep them coming back, you need to be asking: How does your company stand out from the competition? Is there anything your company does differently?

 

After the pandemic started, online sales soared in just a few short months, creating ten years of growth within the industry in just three months.

 

A record 16.4% of global retail sales were attributed to eCommerce as countries locked down and retailers closed. Millennials and Gen Z aren’t the only ones driving this trend-older fashion shoppers are too. During the epidemic, 84% of consumers shopped online, according to a survey by Shopify for 11 markets.

 

Online retailers worldwide have seen an increase in sales despite brick-and-mortar retailers taking a bigger hit.

 

It is predicted that eCommerce sales will become more uneven in 2021. It is anticipated that some regions will see a dip in online sales, but this is mainly due to the availability of vaccines and the resurgence of in-person shopping.

 

In light of the growing competition, getting your customers’ experience right is crucial.

 

If a customer is landing on your website for the first time, keep an eye on everything they see. Make sure you consider how your business stands out and retains customers. They’ll treat you the same way you treat them.

 

 

Consumer Behaviors Are Reshaping the Future of Retail

 

Online sales of essential items have increased dramatically in recent years. The internet is making it easier than ever for people to order groceries, shampoo, health goods, and other home essentials from the comfort of their own homes.

 

Therefore, in response to the pandemic, consumers turn to the most convenient source to get their products. How satisfied consumers are with their experiences will determine how loyal they are to the company. Do your best to serve customers more conveniently!

 

Information like this demonstrates why corporations should branch out into creative technologies. Among other things, the use of augmented reality (AR) in retail has been increasing over the past few years. It is possible to discover new ways to market your product to customers by trying various shopping experiences.

 

According to this survey report, shopping online will become more than just a current trend. Therefore, it is crucial to establish strong relationships between your business and your customers.

 

In the wake of the pandemic, customers’ preferences and priorities have drastically changed. It is predicted that this trend of online shopping will continue. It will be necessary for Shopify stores to provide a more customized experience for consumers.

 

Personalized shopping has already been discussed a lot, but here are some other trends to watch out for to ensure you get the best shopping experience.

 

• Search and filtering need to be improved, chat support needs to be improved, the return policy needs to be streamlined, and you should focus on converting every shopper into a loyal customer.

 

• Improve referral bonuses, make loyalty tiers, offer memberships, and integrate rewards into the program. To reap the benefits of personalization shopping, eCommerce businesses need to prioritize this.

 

• Develop personalized promotions to target these customers based on their buying preferences and product history.

 

• Based on real-time changes in prices, dynamic pricing can be used to ensure the right customers get the right offer at the right time.

 

 

Fulfillment Emerges as a Differentiator in the Competitive Environment

 

In the initial stages, only a few customer demands must be met:

 

• A certain threshold must be reached before shipping becomes free. On average, 64% of online customers prefer free delivery. Remember to offer these sorts of perks to build loyal customers by offering curbside pickup and automated returns.

 

• Most consumers prefer socially responsible brands. Taking social initiatives from the customer’s perspective shows that you will be more than capable of serving their needs. Consider eCommerce more as a commitment to your customers.

 

 

Market Dominance Challenges Brand Building

 

Did you know that marketplaces account for more than half of global eCommerce sales? As a result, many people shop on websites like Amazon, Etsy, and Walmart, rather than going to big retailers.

 

Although anyone can start a business online, the industry has concerns about the effects on the industry.

 

There are, however, some challenges that your business may encounter that can be quickly resolved by focusing on branding.

 

Although it can be difficult, establishing a brand is a crucial component to the success or failure of your company.

 

Look for ways to make your business more socially responsible if you want to build your brand. The majority of people gravitate towards brands with a mission, so ensure yours is fulfilling.

 

 

As Acquisition Costs Rise, Retention Becomes the Top Priority

 

Online shopping has boomed lately; however, the cost of acquiring customers has risen as well. As the industry boomed online, customer acquisition costs decreased initially and increased as targeted customer acquisition requirements increased.

 

You may have to spend money on this eCommerce trend, but it could be the best investment your company could ever make.

 

 

Conclusion

 

These trends will make this year an even more successful year for your Shopify store since the future of Shopify looks excellent. Sustainability will also get a significant push from customers in addition to these trends.

 

To reduce environmental damage and carbon footprint, consumers will gravitate towards ethical shopping. You can take advantage of this trend by focusing on local delivery and pickup options.

 

The customer leads the demand at the end of the day, and businesses need to respond creatively and consistently to these demands.

 

Sunvera Software develops next-level software applications from start-to-finish. Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.