Today we live in a world where machines possess an extraordinary ability to learn, reason, and make decisions, much like the human mind. This remarkable realm of technology known as Artificial Intelligence is not merely a product of science fiction or futuristic imagination. It has become an awe-inspiring reality that is transforming the landscape of countless industries.

But that’s just the tip of the AI iceberg.

In mobile development, AI can transform your customer’s device into a personal shopping assistant, a language guru, or a creative photographer all in the blink of an eye. 

The integration of AI in mobile app development doesn’t stop there. 

It unlocks a realm of possibilities for your customers, from personalized virtual assistants that organize their life, to fitness apps that act as their personal trainers, to healthcare apps that monitor their well-being.

But how do we understand the concept of AI in mobile apps?

Unraveling Artificial Intelligence in Mobile Apps

Simply put, AI is like the brain behind the scenes, making your apps smarter and more interactive. 

One of AI’s superpowers is Machine Learning (ML). It’s like a super adaptable brain that learns from data and experiences. Machine learning algorithms analyze massive amounts of information to get better at tasks. They can recognize patterns, make predictions, and even understand your preferences.

Another clever component is Natural Language Processing (NLP). It’s like an AI language translator that allows you can talk to your app, ask questions, and it magically understands and responds. NLP allows your AI sidekick to grasp the meaning behind your words, making conversations with your app feel more human-like. 

How does it help?

Read more: Understanding NLP: Will It Reign Supreme In Near Future?

From Mundane to Marvelous – Benefits of AI In Mobile Apps

Weaving the powers of AI into your mobile apps can enhance user experience. How? Like a brilliant and intuitive companion, AI-powered mobile apps can provide personalized recommendations. AI algorithms analyze user behavior, learn their tastes, and curate a world of suggestions. 

Plus, it learns and grows with them. The more your customers use your apps, the smarter those apps become, tailoring their suggestions to your customer’s ever-changing whims and fancies and predicting their move, and effortlessly serving up what they need.

Read more: https://www.fingent.com/blog/is-ai-powered-mobile-app-what-you-need-for-your-business-now/

Key Applications of AI In Mobile Apps

AI brings a layer of intelligence to your apps that takes them to the next level. Here are some key applications that this has made possible: 

1. Voice Assistants and Natural Language Processing

40% of mobile users use voice search at least once a day. – Comptia.

Natural Language Processing (NLP) enables the integration of voice assistants like Siri, Google Assistant, and Alexa into mobile apps. No matter how they phrase it, NLP enables your app to decipher the meaning and context of their spoken words. 

It is capable of unraveling the intricacies of slang, deciphering accents, and even understanding complex sentences with multiple layers of meaning. It’s like having a language expert at your beck and call. But it doesn’t end there. NLP allows voice assistants to learn from every interaction, becoming more intelligent over time.

2. Personalized Recommendations

AI algorithms can analyze user data to provide personalized recommendations in mobile apps by utilizing machine learning techniques:

• Data Collection: Mobile apps collect user data through various means, such as user registrations, app usage tracking, explicit ratings, and implicit signals like clicks, views, and interactions.
• User Profiling: Such data is used to create user profiles that capture individual preferences, interests, and behaviors. 
• Pattern Recognition: AI algorithms can identify similarities based on factors like item attributes, past behavior, and user demographics.
• Recommendation Generation: Based on the identified patterns, the algorithms generate personalized recommendations. For example, in a music app, the algorithm might suggest songs or artists similar to the user’s previous listening habits or recommend popular tracks among users with similar tastes.

The benefits of personalized recommendations for user engagement and satisfaction are significant:

• Enhanced User Experience: Users are more likely to discover new content they enjoy and spend more time using the app.
• Improved Discovery: Personalized recommendations help users explore new music genres, discover new movies or shows, or find products that suit their tastes, leading to greater satisfaction.
• Time and Effort Saving: With personalized recommendations, users can find relevant content more quickly and easily.
• Increased User Retention: When users receive preferred recommendations, they are more likely to remain engaged with the app. 
• Business Benefits: Personalized recommendations result in improved conversion rates and increased customer loyalty.

3. Image and Video Recognition Tasks

AI plays a crucial role in mobile apps across industries, including e-commerce, social media, entertainment, gaming, and more. For example:

• Facial Recognition: This technology is widely used in mobile apps for various purposes, such as authentication, photo tagging, and personalization.

• Object Detection: With AI algorithms, mobile apps leverage object detection for a range of purposes, such as visual search and safety features.
• Augmented Reality (AR) Experiences: AI algorithms are employed in mobile apps to enable applications like virtual try-on for shopping, gaming, and navigation.

Read Case Study: How Fingent helped build a unique mixed reality application for a leading university that enables users to identify people using facial recognition!

4. Intelligent Chatbots

The integration of AI-powered chatbots in mobile apps revolutionizes customer support and interaction by enabling efficient and automated communication with users. Using AI algorithms, chatbots recognize the intent behind user queries and quickly search and retrieve relevant information to address user queries effectively.

Success Stories

Mobile apps have been able to enhance user satisfaction, drive revenue growth, and achieve operational efficiency, resulting in their success in the mobile app market. Here are some examples:

1. Instagram

Instagram, one of the “big three” social media platforms, utilizes AI algorithms to provide personalized content recommendations in the Explore tab. This greatly improves user engagement by helping users discover relevant posts and accounts. AI is also used for content moderation, and identifying and filtering out inappropriate or spammy content, thus creating a safer user environment.

Impact: AI integration in Instagram has contributed to increased user engagement by facilitating content discovery and improving user safety by detecting and removing harmful content. Today it is 4th most used social media platform and 5th most visited website.

2. Uber

Uber, a ride-hailing platform, employs AI algorithms to optimize its dynamic pricing system. Machine learning models analyze supply and demand patterns, traffic conditions, and historical data to determine surge pricing, ensuring efficient allocation of drivers and meeting high-demand periods.

Impact: AI integration in Uber enables efficient pricing strategies, ensuring the availability of drivers during peak demand and generating increased revenue for the company.

In 2022, Uber experienced substantial growth with a revenue of $31.8 billion, marking an 82% increase from the previous year. Furthermore, the number of completed trips also saw an increase, with Uber drivers recording 7.6 billion trips, exceeding the previous peak of 6.9 billion trips in 2019. 

3. Amazon

Amazon, a leading e-commerce platform, extensively uses AI across its mobile app for personalized product recommendations, dynamic pricing, inventory management, and fraud detection.

Impact: AI integration in the Amazon app has led to increased user engagement by providing relevant product suggestions, improved customer satisfaction through personalized experiences, optimized pricing strategies, and enhanced operational efficiency.

In Amazon, it was observed that there is a 42% likelihood of a customer proceeding to a prospective product purchase. On the other hand, Walmart and Etsy have recorded figures of 16% and 13% respectively.

Amazon’s Alexa has taken over the world’s smart speaker industry, by securing an impressive 26.4% market share.

Emerging Trends in AI For Mobile Apps

Emerging trends in AI for mobile apps are shaping the future of mobile app development. Here are two key trends:

1. Edge Computing: Edge computing involves processing data locally on the device or in nearby edge servers, reducing the reliance on cloud computing. This trend enables AI-powered mobile apps to perform complex tasks and analysis directly on the device, leading to faster response times, enhanced privacy, and reduced dependency on internet connectivity.

Implications: The increasing adoption of edge computing enables apps to respond quickly to user inputs, process sensor data in real-time, and provide immediate feedback, leading to faster and more seamless experiences.

2. Federated Learning: Federated learning allows AI models to be trained collaboratively on decentralized data from multiple devices without transferring sensitive user data to the cloud. Each device performs local model training, and only model updates are exchanged, ensuring privacy and data security.

Implications: Future advancements will likely include greater transparency, explainability, and fairness in AI algorithms to ensure user trust and mitigate potential biases or discriminatory outcomes.

Personalize, Engage, and Future Proof with AI

In this era of technological revolution, artificial intelligence stands as a beacon of innovation and possibility. AI integration in mobile apps offers compelling benefits such as personalized experiences, improved user engagement, increased efficiency, advanced functionalities, data-driven decision-making, competitive advantage, and future-proofing. 

These reasons make AI integration a strategic choice for app developers looking to deliver exceptional user experiences and drive the success of their mobile app projects.

By partnering with Fingent, you can leverage our expertise in AI and mobile app development to unlock the transformative potential of AI in your app projects. From custom travel apps to apps using AI enabled chatbots and virtual assistants, Fingent has created unique solutions for clients across the globe. Our commitment to delivering tailored solutions, adherence to data privacy, and end-to-end services make us an ideal choice for AI mobile app development.

Contact us, the leading custom software development company, and let’s explore the possibilities together.

“A simple rule: always give people more than they expect.”    –  Nelson Boswell 

The cycle of business starts and ends with customers. Keeping them satisfied and happy is the number one rule of any business that dreams of being successful. Customer needs and expectations never cease, so businesses should always be prepared to meet and exceed their needs. Artificial Intelligence has been a substantial help in this area since the late 19th century, and it consistently finds new innovative ways to amplify its presence in modern businesses.

Meeting Customer Needs and Exceeding Expectations

Recent research reported that a good number of executives have already planned to invest more in rising technology to gain a competitive advantage. Due to the Covid-19 pandemic, almost all businesses were forced to move to an online platform to survive, further underscoring the need to adopt AI technology.

It is extremely imperative to recognize and address the needs, desires, and emotions of people which change from moment to moment. Businesses have to provide their customers and clients with care beyond purchases and respond to the intricacies in their lives. In a world that moves forward so fast, it’s best not to fall behind.

Read more: Realizing Self- Service in Modern Customer Experiences

What Is Artificial Intelligence and How Does It Impact Customer Experience?

The textbook definition of Artificial Intelligence is – a semblance of human-like intelligence processed by machines, especially computer systems. AI is used by developers to:

• efficiently perform mundane tasks that humans otherwise do.
• connect with customers.
• recognize patterns.
• solve problems.

AI Customer experience is when artificial intelligence tools are used to learn about customers and improve their business experience. The AI technologies that are famously emerging include machine learning, natural language processing, automation, chatbots, virtual assistants, and even enhanced customer experience platforms.

There are three major ways in which AI impacts Customer Experience –

1. Better Understanding Of Customer

Artificial Intelligence combined with machine learning enhances the gathering and analyzing of social and factual data of customers, which then facilitates businesses to gain an accurate understanding of their customers. AI is known for continuously learning and improving from the data it surveys. This enables it to predict customer behavior perfectly.

2. Real-time Decision Making

Making decisions in real-time is the ability of AI to collect fresh data from current interaction with a customer and make a decision with near-zero delay. It is a very effective marketing strategy and often leads to predictive analysis, which is the process of analyzing statistics, data mining, and modeling to make accurate predictions.

3. Hyper-Personalization

Artificial Intelligence, along with all its advanced technologies, proffers content that is specifically relevant to the customer. This eradicates the need to search for services the customer requires manually and adds a layer of comfort to the business and its customization techniques.

Top Ways Businesses Use AI To Tweak Customer Experience

Following are the top 8 utilities that Artificial Intelligence provides to boost customer experience –

1. Personalization

Businesses can easily gain a clear picture of their customer preferences and requirements by using AI and ML technologies which acquire and analyzes social, factual, and behavioral data. AI is built to predict client behavior by regularly surveying and improving the data it collects. This facilitates companies to analyze customer demographics and personal preferences. This, in turn, highlights the relevant products and resources during the browsing process.

2. Chatbots

A chatbot is a conversational AI using machine learning and natural language processing. It is automated and programmed to pretend to be human and carry out programming tasks based on specific triggers. Its unique ability is to conveniently and efficiently generate conversations between two people.

The most commonly found type of chatbot is a “question-answer bot” —this form of chatbot refrains from using advanced artificial intelligence but instead accesses a smaller knowledge base and utilizes pattern recognition.

Artificial Intelligence powered Chatbots make a business’s presence accomplished by allowing customers to find what they are looking for while simultaneously delivering a seamless experience.

Did You Know: 35% of customers want to see chatbots being used more often to improve communication and offer a better experience overall.

The best examples of Chatbots are – Apple’s Siri, Amazon’s Alexa, and Google Assistant.

Using simple rules and past interactions, bots provide insightful replies to any query, making their responses accurate, short, and creative.

3. Predictive Analysis

Predictive analytics, by definition, is to use data collected to predict a business’s future. It utilizes statistical algorithms blended with internal and external data to foresee future trends, ultimately enabling businesses to optimize inventory, enhance delivery times, boost sales, and reduce operational costs. A more accurate and punctual prediction occurs when Artificial Intelligence is added to the mix. Predictive analytics can be used by advanced analytics tools and machine learning models across any industry or business function.

4. Voice Recognition

The voice recognition model functions purely with the aid of AI to

• analyze the user’s voice and language,
• learn the words spoken,
• and then bring forth outputs with transcription accuracy as text data on a screen or model content.

With the help of this technology, devices can interact and respond to human questions in uncannily natural language.

With the ability to understand and converse with human language, Voice AI has opened up great opportunities for businesses to serve their customers better. It efficiently speeds up processes, increases productivity, and scales operations.

Approximately 55% of virtual assistant users prefer speech recognition apps be they proffer a complete hands-off operation of devices.

Examples of businesses that integrated AI for voice recognition and have successfully replaced touch-screen devices are – Amazon Echo, Siri, Google Assistant, Google Home, Amazon Alexa, and a few others.

5. Sentiment Analysis

A sentiment analysis system collects specific customer feedback and uses it to improve company products and services. When AI technologies are fused with this system, it can identify objects or situations that customers feel any negative emotions towards as expressed in text. AI understands the undertone of a statement rather than simply noting a negative or positive connotation.

Sentiment Analysis is majorly utilized by marketers to better understand their consumers’ sentiments, beliefs, and motives perfectly to make advertising to specific groups effective. It has a wide array of benefits ranging from patient insights and online reputation management to competitor analysis and product development.

Almost all social media platforms use Sentiment Analytics powered by AI. This way brands and companies can keep track of the content being shared and censor or filter content that could evoke negative emotions and cause problems.

6. Customer Journey Mapping

A customer journey map as the name suggests, is essentially the visual representation of the customer’s journey from brand discovery to purchase and post-purchase. It enables businesses to retrace a customer’s footsteps and see where their services might need any improvements or upgrades.

All through this journey, AI and Machine Learning play a vital role in ensuring a headache-free shopping experience. There are three essential stages to customer shopping: the Pre-Purchase, purchase, and post-purchase. With the assistance of AI and ML, customers thread these maps and help brands analyze and prioritize activities that impact customers, boosting internal collaboration and coordination.

The benefits of creating a customer journey map are that it helps:

• streamline the customer experience,
• optimize customer service costs,
• accelerate proactive sales solutions to customer problems, and lastly, boost customer retention rate.

Examples of businesses using customer journey mapping are – Home Depot, JPMorgan Chase, Starbucks, and Nike.

7. Fraud Detection

Fraud detection is another surprising area that AI has a distinguished hold over. AI can work with internal security to help organizations improve and protect corporate activities. Businesses can use AI to examine large quantities of exchanges and unravel misrepresentation patterns.

In the case of online fraud detection and prevention, machine learning consists of a collection of AI algorithms that are specially trained with the company’s data to suggest risk rules. The business owner can then enforce the rules to block or allow certain user actions, such as suspicious logins, identity theft, or sketchy transactions.

When fraud detection is handed over to AI and Machine Learning, businesses reap great benefits like – faster and more effective detection, reduced manual review time, faster predictions with bigger databases, and cost-effective solutions.

8. Personal Data Protection

AI and Data Protection are like two sides of the same coin; both are very important, and one cannot progress without the other. We all see and know that AI technology is advancing rapidly; it raises important questions about the use of personal data and the protection and storage of said data in AI systems.

AI is frequently used to minimize the risk of privacy breaches by encrypting personal data and detecting potential cybercrime incidents. It is, therefore, pivotal for businesses to maintain a balance between technological advancements and artificial intelligence with respect for data protection rules and guidelines.

The main benefit of Data Protection Artificial Intelligence is the elimination of human errors and its keen sense for spotting new trends and patterns.

Amazon, Apple, Facebook, IBM, Microsoft, and many other grandiose organizations have implemented this system, and many more are predicted to follow.

Read more: How AI and ML are reshaping customer experience.

AI In Action – Use Cases

AI has been implemented in virtually every facet of our lives and in every industry imaginable. Here are 3 Use Cases that will give you a gist of how they can be applied successfully.

1. Chatbots Creating Engaging Learning Experiences

Learning experiences become unique and personalized when the right assistance is provided at each stage of learning. That’s where leading educational institutions are now deploying Automated Intelligence-driven ecosystems to facilitate students to interact with AI-enabled Teaching Assistants (AiTA). The system, when tightly integrated with other Teaching Assistant Bots, enables improved interaction, easy instructor-led training, and enhnaces student-instructor relationship.

2. Simplifying Claims Management for Legal Firms

A typical compensation claims processing takes up to three years for case settlement costing an average of $85000. It’s often challenging for legal firms to balance time, money, and the cases in hand. That’s why they are now implementing AI and machine learning to improve performance efficiency. Utilizing AI and machine learning to settle claims can help legal firms reduce costs up to 57%.

3. Netflix Gets You!

Netflix is the largest streaming platform, with more than 200 million customers globally. It gained a majority of its popularity due to its personalization feature. This streaming service uses AI to create a personalized home screen interface for individual subscribers and accounts. When viewers create a new account, they are directed to pick a few of their favorite TV series and movies. The AI at the crux of Netflix analyzes the data fed to it and provides recommendations similar to the favorites picked by the user. It continues to customize the suggestions displayed based on what the user watches.

4. Rolls-Royce Rolls Out Smart, Responsible Manufacturing

To exemplify the impact of AI on Predictive Analytics, we can look at Rolls-Royce, one of the world’s largest manufacturers of aircraft engines. It deployed predictive analytics to help drastically reduce the amount of carbon produced in its engine’s product while simultaneously optimizing maintenance to assist clients and keep their planes flying longer.

5. Ask Julie!

“Ask Julie” is Amtrak’s virtual assistant. Amtrak, the national passenger railroad company of the United States has implemented this chatbot to the best advantage. Ask Julie has successfully helped provide Amtrak provide a seamless customer experience to “over 375,000 customers on their website each day and over 30 million passengers on over 300 trains each year.” The result – an 8X return on investment, more effective customer services. and reduced email costs.

Finding The Right AI Partner – A Few Tips

Digitalizing a business can be very daunting, especially when you want to integrate Artificial Intelligence into its core. Finding a partner who understands you and can communicate well with you is quite hard to find, but you must not give up hope! Keep looking because it is better to spend a little more at the start and have a quality setup rather than spend less and have a wobbly foundation that could jeopardize your whole AI implementation. Here are a few tips to keep in mind while looking for a capable AI partner –

1. Priorities

When looking for your potential AI partners, choose someone who can help the business and its employees prioritize and manage workloads.

2. Comprehend The Difference Between Machine Learning And Artificial Intelligence

Although the two may sound like they perform the same functions, do not be fooled. They each have their own region of expertise so look for someone who acknowledges that.

3. Invest In The Right Tools

In the current economy, businesses can not afford to splurge money on luxuries. Pick a partner who understands your company’s budget and can plan a perfect setup for you.

How Fingent Can Help Seamlessly Leverage AI For Customer Experience 

Artificial Intelligence is a wide ocean of opportunities, if you have the right swimming gear, you can glide on its surface. Making the right decisions and trusting the right people with your projects should not be taken lightly. Fingent is committed to providing impactful software solutions to meet business goals seamlessly. Our certified experts focus on client-centered transparency and offer complete services with a wide range of Artificial Intelligence capabilities. Our team can boost your business to be more efficient and robust through intelligent technology. We have nearly two decades of experience and completely understand our client’s needs and requirements. Give us a call and let us know how we can help you.

A technology’s light shines brightest when it strives to consistently evolve and cater to the needs of society. In today’s world, running a successful business has become quite a challenge. Organizing all its vital and smaller processes into a unified system can be immensely helpful to business owners. SAP swiftly comes to the rescue here. It is also evidently evolving to reliably meet the needs and demands of modern businesses. In this article we will take a deeper look into these progressions and how they benefit a business.

What is SAP?

SAP is expanded to “Systems Applications and Products in Data Processing”. It was first developed in 1971 by IBM engineers. It integrates and stores common information while ensuring that data flows deftly from one component to another without the need for unnecessary data interference.

SAP is currently topping the charts as the best ERP software and houses hundreds of fully integrated modules overlaying various aspects of business management. There are essentially 2 Types of SAP ERP system Modules: Functional Modules and Technical Modules. Each module focuses on essential business functions, from human capital management and production planning to plant maintenance and quality management.

The Impact of SAP on Modern Business 

SAP ERP has a prodigious impact on business management. It houses features that are helpful in every aspect of running a business. It isn’t news that organizations depend deeply on technological tools to collect and rapidly analyze data with an aim to deliver insights into the performance of the business.

SAP S/4HANA is currently used by more than 28 thousand organizations around the globe to process complex data and deliver realistic insights in real time through custom applications and innovative use cases. Listed below are a few fields that are indented by SAP ERP:

1. Retail

Inside the retail industry, S/4HANA specifically thrives as it extends real-time visibility into supply chain operations, ensuring that retailers can manage inventory levels better and boost customer satisfaction. With S/4HANA, retailers track product availability with ease and improve delivery times.

Adidas exemplified this when it installed S/4HANA to streamline its finances and supply chain processes aiding the brand to delivery more personalized customer experiences such as product and fit recommendations.

2. Consumer Goods

S/4HANA causes impressive impacts in the field of consumer goods. It qualifies organizations to efficiently manage product development, production, reduced costs, and distribution processes. Companies using S/4HANA are better at tracking product quality, reducing production errors, and ultimately improving supply chain efficiency.

3. Life Sciences

Life Science is probably the best field to witness SAP ERP technological tools’ magic. This industry uses S/4HANA to access real-time visibility into research and development processes, manage R&D pipelines and bring new products to market more quickly. With S/4HANA, life sciences organizations have the power to better manage their regulatory compliance requirements, refine data collection accuracy, and reduce time-to-market for new products.

A global pharmaceutical company titled – Boehringer Ingelheim, successfully implemented S/4HANA in order to better its financial processes and gain real-time insights into its global operations. The system was a grand success and now more than 80 companies in 41 countries from New Zealand to South America are using this system.

Top Ways SAP Is Evolving

Just like any reasonably good innovation, SAP too found room to improve and evolve in order to better benefit its users and drive modernization in the digital world. Aside from its simpler data models, friendlier user interfaces, better integration and amazing advancement in real-time analytics ingrained into S/4HANA software, SAP has shown some other signs of evolution.

1. Greater Integration

As new and fascinating technologies like AI, ML, and the IoT continue to unfold, S/4HANA is deftly integrating with these technologies. For example, S/4HANA is seen utilizing Artificial Intelligence and Machine Learning to offer highly advanced analytics and predictions. It also integrates with IoT devices to provide real-time data feedback. This takes business data processing to the next level and S/4HANA’s interaction with IoT enhances production quality.

2. Industry Functionality

S/4HANA is already known for its flexible nature while meeting the needs of industries, but in recent times we can see even more industry-specialized functionality features emerging. This largely includes enhanced functionality for drastically regulating industries like healthcare and finance.

3. Mobile Capabilities

It is clear to see that mobile technology is the fastest-evolving technology in the world. Keeping this is mind, S/4HANA has become increasingly mobile-friendly. This enhances its accessibility as almost everyone owns a smartphone in this era.  Its benefits include new mobile applications that grant access to S/4HANA data and improved mobile web interfaces that make accessing S/4HANA on the go seamless.

4. User Experience

S/4HANA has always been laser-focused on quality user experience, and it is a positive sign that it is willing to work on this strength and hone its advantage. SAP continues to invest in simplifying the user interface and improving overall user experience. This includes new personalization tools and improved useability testing and design.

A Glimpse into The Future Of SAP 

If anything is a guarantee, it is that SAP ERP will always find ways to improve and dominate modern business functions. A beneficial ERP generally has to create possibilities for companies to adapt and remodel with the agility and flexibility trending in today’s markets.

From a technological perspective, SAP is smartly integrating with all higher forms of technology, such as Machine Learning, IoT, and Artificial Intelligence. It utilizes a modular approach to provide an integrated, intelligent entourage of customers for cloud-native technologies.

From a business perspective, SAP ERP enables new business models like consumption-based billing and subscription-based businesses, which are seen as widespread in the market on the horizon.

Read more: Transforming Business with SAP S/4HANA Cloud

How Can Fingent Help?

Fingent has worked with many clients from 4 continents since 2003. Our experts focus on client-centered transparency and offer complete services with a wide range of SAP products.

With Fingent on your side, your SAP S/4HANA migration can never be tedious. Our unique SAP S/4HANA service implementation methodology assists you with preparing, exploring, configuring, and deploying enhanced capabilities with SAP. Connect with our experts today!

Digital technologies are evolving at an unprecedented rate. Major innovations, such as artificial intelligence tools, machine learning software, cloud computing resources, and big data, have already reshaped the landscape of countless industries and actualized new financial concepts such as blockchain and cryptocurrencies.

As business leaders apply these technologies to their digital transformation initiatives, many focus on functions like sales, customer support, and demand forecasting. While these are mission-critical functions, finance must be front and center during any digital transformation discussion.

Whether your team manages a standalone financial business or is responsible for overseeing an organization’s financial functions, you must embrace the digital world. Let’s take a closer look at the financial technology (FinTech) landscape, identify some ongoing challenges facing the financial industry, and shed light on some tech trends you can adopt to strengthen your competitive advantage.

Read more: Top Ways Business Intelligence In Finance Can empower CFOs Today!

The Financial Business Technology Landscape

FinTech is primarily responsible for the evolution of the financial business landscape, and over the last few years, the FinTech sector has exploded. As of 2023, there are more than 26,000 FinTech startups globally, as well as hundreds of pre-established FinTech developers.

The growth of the FinTech market has largely been supported by venture capital (VC) funding. Though numerous FinTech sectors have received significant financing from VC rounds, three stand above the rest.

Between 2016 and 2021, the following three sectors received over $5 billion in VC funding:

• Capital markets ($8.07B)
• Payments ($6.03B)
• Wealth management ($5.43B)

Digital lending, FinTech tools for small-to-medium-sized businesses, and banking-related projects also received significant funding, though these amounts fell below the $5B mark.

The Top Challenges Facing the Finance Industry

The modern financial business landscape has largely been shaped by uncertainty, market volatility, rapidly shifting consumer trends, and the emergence of increasingly sophisticated technologies.

Businesses in virtually every industry continue to face disruptions and supply chain challenges, hurdles that have placed an additional burden on finance teams, as they are tasked with helping their organizations prepare for the unexpected. Unfortunately, antiquated solutions and strategies don’t provide the agility necessary to promote adequate resilience.

From the financial business perspective, the digital world has led to the development of two new core challenges: accessibility and racing to keep up.

First, consumers expect to be able to access services, accounts, and support on their terms. To meet this demand, financial businesses must develop user-friendly mobile apps that increase the accessibility of their services and work to empower consumers.

The second challenge is interconnected with the first: New technologies are arising so rapidly that some businesses need help to keep pace. Those that struggle fall behind in the digital arms race will cause financial organizations to lose valuable market shares, potentially fading into obscurity.

Read more: Technology in Finance: What to look out for in 2023!

Changing Finance to Thrive in the Digital World

Fortunately, organizations can overcome these challenges by adopting finance technology trends and implementing robust new software solutions.

Organizations committed to reinventing themselves must develop a cohesive digital transformation strategy. As part of the process, business leaders must identify any functions and processes that need to be retired, updated, or improved. From there, they can then begin exploring solutions to enhance the agility and versatility of their business.

Conducting extensive market research is also essential to digital transformation. Financial businesses need to step into the minds of their audience and determine what features, capabilities, and tech services are at the top of their priority lists. Only then can businesses strategically invest in new technologies and solutions that will align with the needs of modern consumers.

Read more: Data Analytics in Financial Services and Banking

Finance Technology Trends that Can Give Your Business an Edge

If your organization is on the precipice of a digital transformation but is still determining where to focus its efforts, examining current FinTech trends is an excellent place to start. A few of the trends in the finance industry include:

1. Self-Service Tools

Most consumers lead hectic lives, which means that many of them don’t want to have to stop in a branch or waste precious time seeking phone-based support. Instead, they’d prefer to have access to user-friendly self-service tools so that they can access support or manage their account whenever is most convenient for them.

Therefore, you should implement customer-facing tools and features that empower your consumers. The easier your services are to access, the better, so make sure that clients can reach these tools via various channels, including desktop and mobile devices.

2. Sophisticated Mobile Apps

The rise of digital-only banking has forever changed customer expectations regarding financing. Digital financial institutions have shown consumers that managing every aspect of an account is possible without ever setting foot in a branch.

While you do not necessarily have to transition to a digital-only business model, you need to provide your consumers with access to a high-quality mobile app that is easy to navigate, simple to use, and reliable.

3. Embedded Finance

The embedded finance technology ecosystem has become too big to ignore. By joining this growing sector, you can create new revenue streams and expand your organization’s reach within the finance industry.

Of the various types of embedded finance solutions, “buy now, pay later” (BNPL) has become especially popular. It is a sales model that allows customers to make purchases immediately but pay for the goods via a set number of more-affordable installments. In 2021, BNPL transactions totaled over $120B, and they are expected to reach a value of $576B by 2026.

Read more: How Embedded Finance will Transform the FinTech Landscape in 2023!

Reinvent Your Finance Business with Fingent!

According to Deloitte, the rapidly-growing FinTech industry will reach a market size of $188 billion by the end of 2024. This statistic illustrates how bank executives and business leaders across the financial industry are embracing digital transformation. In fact, 66.7% of bank executives believe FinTech will “impact wallets and mobile payments globally,” according to Statista researchers.

If your organization wants to keep pace with forward-thinking financial businesses, it must reinvent itself for the digital world. Fingent can help you do that via our financial software development services. We develop highly-secure, purpose-built solutions, such as cash management software, mobile and internet banking apps, digital finance and accounting tools, and other applications that will enable you to thrive in this rapidly evolving industry.

Over the years, digital evolution has transformed the way we shop!

The lockdowns and store closures due to the unprecedented events of 2020 has moreover accelerated this evolution and mainstreamed online shopping.

Today consumers don’t just make purchases online. They compare brands, shop for deals, join communities, and engage in immersive experiences. According to Forbes, roughly 21% of all retail purchases will be online in 2023.

There’s no denying that digital technologies are changing the retail industry as we know it. The only question that remains is whether your business is ready for the future of retail.

To help you prepare, we explore the state of the retail industry and shed light on some of the most significant challenges your business faces. Most importantly, we reveal some technology trends you can leverage to compete with major players in the retail space.

Read more: Custom Software Solutions for Retail: All You Need to Know!

The State of the Retail Industry

In a 2023 retail industry outlook report, Deloitte researchers examined how labor challenges, supply chain hurdles, and market volatility would impact retail businesses in the new year.

Of the various predictions made in the report, the most notable is that retail sales growth in the U.S. – barring a recession – will be minimal due to a meager GDP growth forecast of just 0.9%.

Additionally, researchers found that nominal average weekly earnings rose by 8.3% between December 2020 and December 2022. However, real earnings decreased by approximately 5% due to inflation. In other words, consumers have less purchasing power even though their weekly earnings have nominally increased.

In light of these predictions, retail businesses must remain fluid and agile. In 2021, many retailers increased inventory volume by 11% on average to contend with supply chain volatility.

Continuing to maintain an extensive inventory with a potential recession just over the horizon would be unwise, as doing so would leave retailers with less liquidity and could hinder their ability to capitalize on emerging technology trends or shifts in consumer spending habits.

Retail Businesses Must Evolve or Fail

Like many others in the retail industry, you probably hoped 2023 would represent a continued progression toward “normalcy.” However, many of the changes affected by the global pandemic are here to stay. Modern consumers expect a more technology-centric retail experience, even if they choose to shop in-store.

In addition to adapting to the new consumer, you must also navigate the aforementioned economic challenges poised to persist throughout 2023 and beyond. To make matters worse, the quit rate of employees in the retail industry remains at about 4%, significantly higher than the national average.

While these interconnected issues seem to have created a perfect storm, it’s possible for your business not only to survive the future of retail but thrive in it. To do so, you must familiarize yourself with the latest tech trends and how they might affect your reimagined business model.

Key Tech Trends Shaping the Future of Retail

To stay relevant and competitive, we suggest you consider how adopting the following key tech trends can impact your business:

1. A Shift to Digital Goods and Services

Even if your company sells physical products, offering digital goods and services is an excellent way of differentiating your brand from retail businesses that aren’t so forward-thinking.

For instance, you might commission a development agency to create a custom mobile app for your business. You could then use this app to connect with customers, deliver digital goods (i.e., coupons or top customer badges), and nurture feelings of loyalty among your target audience.

You can take this concept further by creating a digital community that lets shoppers share how your products and goods make them feel or improve their daily lives.

2. Omnichannel Shopping Options

The shopping experience is no longer linear. Instead, customers typically interact with a brand along multiple touchpoints and channels before actually making a purchase. With this in mind, you must adopt interconnected technologies to seamlessly guide leads through each phase of the purchasing journey.

What does that look like, exactly? First and foremost, you should have a dynamic, user-friendly, mobile-optimized website in place.

You’ll also need to give consumers multiple ways of interacting with your brand, such as your website, mobile app, and brick-and-mortar store. The top brands are already doing this — your company should follow suit.

Read more: Leading the Powerplay With Retail Business Intelligence

3. Social Media-Centric Campaigns

While you already have social media pages for your company, you may not be using these channels to their full potential. The most successful brands have tapped into meme culture, hashtags, influencers, and other trends that are native to social media to reinvent the customer journey.

Putting social media at the center of your marketing campaigns allows you to fuel online shopping in new ways and connect with younger audiences.

There are many ways to up your social media marketing efforts, including hosting live events, holding Q&A sessions, and interacting with followers in the comment section.

4. Automated Pricing

Automated pricing involves using software to set prices according to variables of significance to the store. Automated pricing technologies have become a valuable resource for big-box retailers in recent years. Smaller businesses are catching on, using this convenient technology to ensure that product prices are set to optimize profitability for both online and in-store products.

Implementing pricing automation solutions will reduce the workload on your staff, as they’ll no longer have to set prices manually. This will help you overcome labor shortages and improve productivity. Automated pricing tools also allow you to deliver better value to customers by running short-term sales or discounts.

Read more: How To Power Your Retail Business with Augmented Reality?

Stay Ahead of the Curve with Fingent

A mixture of in-person shopping experiences and tech-centric journeys will shape the future of retail.

While many modern consumers still like to make purchases at brick-and-mortar shops, 63% of all buying journeys start online. As such, your organization must embrace the latest retail industry technology trends to provide consumers with an experience that seamlessly transitions between channels and mediums.

To achieve such fluidity, you need a technology partner like Fingent that understands the thoroughly modern challenges retail businesses face.

Fingent provides end-to-end custom application development services for retailers. Our dynamic team can create tailor-made field sales applications, inventory management tools, omnichannel fulfillment solutions, and other digital technology resources you need to maintain your edge.

Connect with us today or submit a request for a proposal to learn more.

Organizations are enhancing their competitiveness by prioritizing digital transformation as the global marketplace becomes increasingly crowded and interconnected.

Broadly speaking, the concept of digital transformation involves the systematic evolution of core and auxiliary business processes to take advantage of advances in computing and software systems to increase efficiencies.

However, no digital transformation initiative will be effective unless it involves an app modernization component.

Also referred to as “application modernization,” app modernization enables organizations to transform effectively, increase their competitiveness, and differentiate themselves within their respective industries.

What is App Modernization?

A “legacy” system uses outdated software or computing hardware to deliver important organizational capabilities but cannot interact with other systems or be updated effectively. App modernization is the process of addressing known issues in outdated legacy software. The issues may include:

• Software problems (“bugs”) that cannot be resolved fast enough,
• Missing features will take too long to add,
• Fragile code (changes tend to create new problems),
• Technology obsolescence (e.g., few programmers for the source code language used),
• A software vendor is out of business, etc.

Commercial off-the-shelf software (COTS) may not provide source code access, preventing an organization from addressing software issues. When pursuing app modernization for software for which source code is available, your organization can choose between one of three approaches:

• Revitalizing an application old applications
• Replacing an application technology with custom-built solutions
• Rehosting or re-platforming

Organizations that choose to revitalize old applications will be updating existing software with new capabilities and features. This may also include refactoring (editing the software to do the same things better).

Read more: Why choose custom software over commercial off-the-shelf solutions?

Other companies may elect to get rid of aging technology to replace it with new, custom-built solutions or with a COTS solution.

In some instances, though, to achieve performance improvements, you may just need to move your existing application onto a more powerful computing engine, typically today on a modern, cloud-based infrastructure — a process known as rehosting or re-platforming.

How do you know which is the best app modernization option for your needs?

Particularly old or antiquated legacy technology will need to be replaced, whereas newer solutions might be suitable for repurposing or retrofitting. Rehosting is the most pragmatic approach if an application still meets your business’s needs but is negatively impacted by your current infrastructure.

When updating existing software, your app modernization team will need to rewrite code to add new features to your solutions. While this can be a tedious and time-consuming process, it may be more efficient than rebuilding a new solution from the ground up.

Opting for the more labor-intensive choice of modernizing by replacing legacy systems may provide more substantial long-term benefits altogether, especially if the landscape of your industry has changed significantly since you installed your current technology suite. Proper planning will control how the migration to a new system occurs and to what extent a legacy system needs to be operational during the transition.

In order to determine which approach is most appropriate for your business, you should first consider whether your current application effectively meets your company’s needs. If it doesn’t, you will need to either repurpose or replace your technology, but if it does, a simple rehosting might be the most practical option.

Why You Need It, Especially Today

Application modernization is a core component of digital transformation. If your company’s current applications do not effectively meet its needs or promote efficiency, you will never be able to meet your digital transformation goals. In a 2019 IBM-Forrester survey, 40% of developers reported being more productive when on the cloud in a digital transformation.

Instead, you will always be working from a disadvantage, which could allow your competitors to encroach on your market share within your respective industry.

App modernization will not only enable you to fulfill your digital transformation goals, but it will also empower your business to operate more efficiently, enhancing the customer experience, paving the way for future growth, and boosting revenue.

Read more: Why Top Companies Are Investing in Application Modernization

What to Consider Before App Modernization

You cannot approach app modernization haphazardly, or you could experience significant and potentially prolonged disruptions to your company’s operations.

Remember, app modernization efforts will impact the functionality and performance of your company’s core software solutions, such as your customer relationship management platform and accounting software, so with that in mind, you must gauge the costs of an app modernization initiative.

Identify what goals you want to achieve, plan how long it will take to achieve those objectives, and seek the support of a third-party technology firm that will be able to provide an objective perspective and help you determine which approach to pursue when you start your journey toward app modernization.

Read more: The secrets to a successful app modernization journey.

Knowing Your Options in App Modernization

To decide which of these approaches is most suitable for your business, you must take an objective look at the state of your technology stack. Is the version of all elements of the stack up-to-date? Are frameworks and languages still “main stream?”  If your current solutions impede business growth, it is likely time to replace them or, at minimum, rewrite them.

Rehosting can be incorporated into your app modernization strategies in two ways. If you have an application that meets your needs, you can simply migrate the app from a native architecture to a cloud-based one. Additionally, you can incorporate rehosting into your rip-and-replace or rewrite app modernization process, as transitioning to the cloud will improve the performance of any application.

Steps to Kickstart Your App Modernization Journey

The entire process can feel daunting and overwhelming when you are at the precipice of your app modernization journey. Still, you can jump-start your digital transformation and app modernization efforts through the following techniques:

1. Finding Your Why

First off, outline why you want to modernize your applications. Defining your “why” will help you and your team stay focused once your modernization journey is underway.

2. Assess Your Talent

Take an objective look at your in-house team and its capabilities. Are they going to be able to oversee your app modernization effectively? If not, it might be time to bring in some outside resources.

3. Decide Whether You Want to Move to the Cloud

Suppose you have invested heavily in on-premises resources in the past; in that case, it might be tough to move on from these assets and transition to the cloud. But making the switch will benefit your business both now and in the long run, so you should at least consider the notion.

4. Assess Risk and Act

Finally, you need to assess the risks associated with each app modernization option. Outline the benefits of rewriting your current applications, replacing them altogether, and migrating to the cloud. Once you have calculated the costs of app modernization, choose the option that best aligns with your needs and take action.

How Fingent Can Help in Successful App Modernization

Leveraging app modernization to enhance the efficacy of your digital transformation effort is a huge undertaking. Fortunately, you don’t have to navigate this process alone, as you can partner with a talented software development team like that of Fingent.

Fingent’s team of experts can help you apply the latest technologies to your business, including cloud-native solutions, artificial intelligence tools, and machine learning software.

Contact us today to learn more about how we can assist with your app modernization efforts.

No longer the stuff of science fiction, artificial intelligence (AI) and machine learning (ML) are revolutionizing the way customers interact with brands. Businesses that have embraced these technologies can reshape the customer experience, curate one-of-a-kind buyer journeys, and strengthen bonds with their target audiences.

As your organization works to remain competitive in the modern business ecosystem, it must tap into the power of AI and ML technologies to provide a superior customer experience.

How Are AI and ML Enhancing Customer Experience?

Artificial intelligence and machine learning solutions can profoundly impact every facet of the customer experience. By leveraging these technologies, your business can:

1. Facilitate Hyper-Personalization

Customers who interact with your brand are looking for a personalized experience. As such, brands that put their products and services at the center of attention instead of prioritizing experience will miss the mark. Likewise, blasting your customers with generic advertising content or sending them broad, basic messages simply won’t cut it anymore. Instead, you must personalize every interaction to deliver timely and relevant content to each user.

Artificial intelligence and machine learning technologies facilitate a level of hyper-personalization that was thought to be unachievable just a few years ago. In a 2022 Salesforce survey, 88% of consumers reported that an experience provided by a company is almost as important as the product. Using AI and ML technologies, you can personalize customer experiences by utilizing real-time data, like their browsing history, purchasing habits, etc.

Artificial intelligence and machine learning solutions can also eliminate friction from the customer journey. For instance, AI- and ML-powered chatbots can leverage information from past interactions to create personalized messages for each consumer. This will minimize customer frustration by reducing how often consumers are asked to repeat information they have previously provided.

2. Allow Customers to Stay Connected 24/7

Customers expect access to timely and relevant support around the clock. However, staffing your customer support department 24/7 is financially infeasible. So how do you bridge the gap between customer expectations and the fiscal limitations of your business? AI and ML solutions are the clear answer.

With artificial intelligence and machine learning technologies, you can provide your customers with access to automated support like chatbots. These bots can respond immediately to customers and resolve many basic product- or service-related issues without tying up your customer support staff. This capability will not only allow you to reduce the workload on your team but also help you provide more timely and omnichannel service to customers, no matter when they reach out for assistance.

3. Conduct Predictive Behavior Analyses

The sooner you can identify consumer behavior trends, the better your chances of capitalizing on emerging opportunities. Unfortunately, traditional analytics solutions do not facilitate real-time decision-making because they often rely on data that is days (or even weeks) old.

The good news is that artificial intelligence and machine learning technologies enable you to conduct predictive behavioral analyses using real-time data, guiding your decision-making processes and enabling you to adapt to emerging trends like never before.

4. Enhance Your Understanding of Target Audiences

Artificial intelligence and machine learning technologies allow you to step into your target audience’s mind. You can use these newfound insights to guide your digital marketing strategies, refine products and services, and enhance the customer experience.

Due to how AI and ML learn and evolve, these technologies will only become more effective over time as they get access to more data, better helping you anticipate how your target audiences are likely to behave in the future. This enables you to proactively eliminate friction points from the buyer’s journey and paves the way for increased sales and better profitability.

Read more: Is AI-powered mobile app what you need for your business now?

Use Cases: Major Industries that Have Embraced AI and ML

Artificial intelligence and machine learning technologies are going mainstream, and many industries are taking advantage of these powerful tools for both B2C and B2B interactions. Business leaders in these sectors understand that these technologies will significantly impact their organizations’ ability to compete, both now and in the future.

Some of the industries that are using AI and ML technologies on a broad scale include:

• Software development
• Language processing and transcription
• Retail
• Customer service
• Marketing
• Manufacturing
• Finance
• Agriculture
• Logistics and transportation
• Healthcare

The healthcare and logistics sectors were some of the earliest adopters of artificial intelligence and machine learning technologies, whether by predicting the likelihood of patients developing certain diseases or by providing customers with more accurate shipping estimates. These industries (and every other on this list) utilize AI and ML technologies to enhance the customer experience.

These technologies also provide meaningful insights into the efficiency of business operations. Organizational leaders can use the information gleaned from these technologies to proactively address critical organizational growth hurdles and promote business continuity.

How Your Business Can Optimize Customer Experience with AI and ML

Artificial intelligence and machine learning technologies will empower your business to revolutionize the customer experience along every meaningful touchpoint. First and foremost, these technologies will help your business truly understand the customer journey and its impact on organizational profitability. And once you understand the state of your business and how well it is currently managing the customer experience, you can begin using your AI and ML tools to refine the customer experience.

If you want to maximize your return on investment, consider incorporating artificial intelligence and machine learning technologies into as many business processes as possible. You can use these solutions to automate redundant processes, hyper-personalize advertising content, and refine the customer experience from top to bottom.

Read more: Use cases and business benefits of deploying Machine Learning!

Tap into the Power of AI and ML with Fingent 

Are you ready to harness the power of artificial intelligence and machine learning so that you can provide your clients with the experience they deserve? If so, then it is time to explore a partnership with Fingent.

At Fingent top custom software development company, we provide customized artificial intelligence applications and machine learning solutions. Cumulatively, these technologies will differentiate your brand in the competitive digital marketplace and enable you to modernize the customer experience.

To learn more about Fingent’s suite of services and solutions, contact our team today. Together, we can reshape your customer experience and set the stage for the growth of your business.