Smarter Sourcing with AI in Procurement

In today’s rapidly evolving business landscape, procurement has transcended its traditional role, becoming a strategic function that directly impacts an organization’s bottom line. The integration of Artificial Intelligence (AI) into procurement processes is revolutionizing how businesses source, negotiate, and manage suppliers. This comprehensive guide delves into the transformative power of AI in procurement, highlighting how GoodWorkLabs is at the forefront of this revolution.

 

Understanding AI in Procurement

AI refers to the application of advanced technologies such as machine learning (ML), natural language processing (NLP), and robotic process automation (RPA) to automate and enhance procurement processes. These technologies enable organizations to analyze vast amounts of data, predict market trends, and make informed decisions, leading to increased efficiency and cost savings.

 

The Transformative Impact of AI on Procurement

 

1. Automated Supplier Selection

AI algorithms can evaluate supplier performance, pricing, and reliability by analyzing historical data. This automation accelerates the supplier selection process, ensuring that procurement teams choose the most suitable vendors for their needs.

2. Predictive Demand Forecasting

By leveraging ML models, AI can forecast procurement needs by analyzing past consumption patterns, market trends, and external factors like seasonality. This leads to more accurate inventory planning and reduces the risk of stockouts or overstocking.

3. Enhanced Spend Analytics

AI-powered tools can categorize and analyze procurement data, helping businesses identify cost-saving opportunities, reduce maverick spending, and optimize procurement strategies. ​

4. Supplier Risk Assessment

It continuously assesses supplier risk by evaluating factors such as financial stability, compliance issues, and past performance. This proactive approach helps mitigate supply chain disruptions.

5. Contract Management

AI-enabled contract management systems can automate contract creation, review, and compliance checks. This reduces manual errors and ensures that contracts are always up-to-date with regulatory and organizational standards.

6. Fraud Detection

AI helps detect fraudulent activities in procurement by identifying anomalies in data, such as abnormal spending patterns or suspicious supplier activities, ensuring transparency and integrity in procurement processes.

 

 

GoodWorkLabs: Pioneering AI-Driven Procurement Solutions

 

GoodWorkLabs, a leading technology consulting firm, specializes in developing cutting-edge AI solutions tailored to modern procurement challenges. By integrating these processes, GoodWorkLabs empowers organizations to

• Streamline Operations: Automate routine tasks, freeing up procurement teams to focus on strategic initiatives.
• Enhance Decision-Making: Leverage data-driven insights to make informed sourcing decisions.
• Improve Supplier Relationships: Monitor supplier performance in real time, fostering stronger partnerships.
• Ensure Compliance: Automate compliance checks, reducing the risk of regulatory breaches.

With a proven track record in delivering AI-powered procurement solutions, GoodWorkLabs stands as a trusted partner for businesses aiming to modernize their sourcing strategies.

 

Real-World Applications: AI in Action

 

Case Study: Enhancing Procurement Efficiency

 

A global manufacturing firm collaborated with GoodWorkLabs to overhaul its procurement processes. By implementing AI-driven spend analytics and supplier risk assessment tools, the company achieved:

• 20% Reduction in Procurement Costs: Through optimized supplier selection and contract negotiations.
• 30% Increase in Process Efficiency: By automating routine tasks and streamlining workflows.
• Improved Supplier Compliance: With real-time monitoring and automated compliance checks.

This transformation not only enhanced operational efficiency but also positioned the company for sustained growth in a competitive market.

 

 

The Future of AI in Procurement

As AI technologies continue to evolve, their integration into procurement processes will become increasingly sophisticated. Future advancements may include:

• Autonomous Procurement Systems: Fully automated systems capable of managing end-to-end procurement activities.
• Advanced Predictive Analytics: Enhanced models providing deeper insights into market trends and supplier behaviors.
• Blockchain Integration: Combining AI with blockchain to enhance transparency and traceability in procurement.

By staying ahead of these trends, organizations can ensure their procurement functions remain agile and competitive.

 

Embrace the Future with GoodWorkLabs

Integrating AI into procurement is no longer a luxury; it’s a necessity for businesses aiming to thrive in today’s dynamic environment. GoodWorkLabs offers the expertise and technology to guide your organization through this transformation.

Schedule a Free Consultation

Discover how GoodWorkLabs can revolutionize your procurement processes with AI-driven solutions.

 

Conclusion

This is reshaping how businesses approach sourcing, supplier management, and cost optimization. By embracing AI technologies, organizations can unlock new levels of efficiency, transparency, and strategic value. Partnering with experts like GoodWorkLabs ensures a seamless transition into this new era of smarter sourcing.

Contact GoodWorkLabs Today

 

Introduction: A New Era of Workflow Intelligence

Artificial Intelligence (AI) continues to redefine how businesses operate. One of the most promising and rapidly evolving trends is the rise of AI agents for workflow automation—intelligent software components designed to autonomously handle repetitive, rule-based, and context-aware tasks. As organizations increasingly turn to digital solutions to enhance productivity and cut costs, AI-driven workflow automation has emerged as a massive opportunity for SaaS (Software as a Service) providers.

Amid this ongoing AI revolution, Goodwork Labs is actively pioneering smart automation solutions that integrate seamlessly with business operations. Furthermore, with its proven track record of building scalable AI products, Goodwork Labs is ideally positioned to help companies effectively capitalize on this emerging frontier.

What Are AI Agents in Workflow Automation?

AI agents are autonomous programs that can perceive their environment, reason, learn from experience, and take actions to achieve defined goals. In the context of workflow automation, these agents perform tasks like:

• Automating email responses

• Managing customer support queries

• Processing data entries

• Coordinating multi-step workflows

• Integrating across apps and APIs

• Making decisions based on dynamic inputs

These agents differ from traditional automation tools because they don’t rely on hard-coded logic. Instead, they use machine learning, natural language processing, and reinforcement learning to continuously adapt and improve.

Why AI Agents Are the Next Big Thing in SaaS

The SaaS industry is already transforming how businesses access tools and software. Adding AI-driven workflow agents into the mix further amplifies this transformation by making SaaS products smarter, faster, and more autonomous.

Key Reasons AI Agents Are Reshaping SaaS:

 

1. Elimination of Manual Tasks

This agents significantly reduce time spent on repetitive tasks, freeing teams to focus on strategic work. For example, customer support software can include an AI agent that resolves common issues without human intervention.

2.Enhanced Decision-Making

Agents can analyze real-time data and offer actionable insights, improving decision-making across sales, marketing, HR, and finance operations.

3.Seamless Cross-App Integration

AI agents connect SaaS platforms through APIs, enabling automation across CRMs, ERPs, HRMS tools, and marketing stacks.

4.Context-Aware Intelligence

Unlike basic bots, these agents understand user intent, historical behavior, and contextual cues making workflows more personalized and dynamic.

How AI Agents Improve Workflow Automation

It enhance workflow automation by enabling more resilient, intelligent, and adaptable systems. Here’s how:

1. Natural Language Interfaces

With natural language processing (NLP), users can trigger and control workflows simply by typing or speaking a command eliminating complex menus or code-based instructions.

2. Smart Task Routing

AI agents automatically assign tasks to the right teams or individuals based on workload, availability, and expertise.

3. Predictive Execution

By learning from past activity, agents can preemptively execute tasks like drafting weekly reports or scheduling follow-ups without needing a prompt.

4. Real-Time Learning and Adaptation

Agents gather feedback from user actions and outcomes, enabling continuous learning and workflow refinement.

Goodwork Labs: Driving the Future of Smart SaaS Platforms

Goodwork Labs has become a leader in AI development for workflow automation, offering tailored solutions for businesses aiming to deploy intelligent SaaS platforms.

Why Choose Goodwork Labs?

 

1. Expertise in AI and ML

With a seasoned team of data scientists and AI engineers, Goodwork Labs brings deep technical knowledge in areas like machine learning, NLP, and AI agent orchestration.

2. End-to-End SaaS Product Development

From ideation to deployment, Goodwork Labs handles all stages of SaaS product development—ensuring security, scalability, and performance.

3. Integration-Ready Platforms

The company builds APIs and microservices designed for smooth integration with leading tools like Salesforce, Slack, Zapier, and more.

4. Industry-Specific Customization

Goodwork Labs tailors AI agent functionality based on specific industries be it finance, healthcare, education, or retail.

Use Case: AI Agents in Action

Let’s consider a SaaS company offering HR onboarding tools. With the integration of AI agents:

• New hire documents are automatically collected and verified

• Personalized onboarding emails are sent based on job role

• Calendar invites and checklists are generated for managers

• Feedback forms are triggered post-onboarding

The result? A fully automated onboarding experience that scales across global teams without added HR bandwidth.

The Market Opportunity for SaaS Startups

The market for workflow automation tools powered by AI agents is expanding rapidly. According to a report by MarketsandMarkets, the AI in SaaS market is projected to reach $126 billion by 2028, growing at a CAGR of over 25%.

This surge is driven by:

• Increasing demand for operational efficiency

• Remote and hybrid work models

• Enterprise adoption of AI and analytics

• Growing reliance on API-first architectures

Startups and product builders that integrate AI agents into their SaaS offerings can gain a significant competitive edge.

Building Blocks of an AI Agent-Powered SaaS App

To design a successful intelligent SaaS platform, these components are critical:

• AI model engine (e.g., LLMs for NLP)

• Workflow builder with a no-code/low-code interface

• Orchestration layer to manage tasks and priorities

• Data security modules (compliance with GDPR, SOC 2)

• Feedback loops for continuous improvement

• API connectors to integrate external systems

Goodwork Labs delivers all of these within a single, robust development cycle.

The Competitive Advantage: What Sets You Apart

By adding AI agents to your SaaS workflow, you:

• Decrease customer churn with smart experiences

• Increase user engagement through proactive automation

• Reduce support costs with self-service capabilities

• Expand TAM (Total Addressable Market) by catering to enterprise needs

This isn’t just a feature it’s a product-defining advantage.

Final Thoughts: The Next SaaS Breakthrough

 

AI agents for workflow automation aren’t just a trend—in fact, they’re a strategic necessity for modern SaaS platforms. By embedding intelligence into operations, businesses can therefore scale more efficiently and deliver hyper-personalized user experiences.

Moreover, Goodwork Labs stands ready to help SaaS startups and enterprises build AI-powered platforms that are not only future-proof and secure but also truly transformative.

Ready to Build Your AI Agent-Powered SaaS Platform?

Get expert guidance from one of the top AI SaaS development teams.

Let Goodwork Labs help you launch the next big thing in intelligent automation.

Book a Free AI Consultation

Introduction

AI and Machine Learning in Mobile Apps are , making applications smarter, more personalized, and highly efficient. With AI-driven mobile applications, businesses can enhance user experience, improve engagement, and drive conversions. GoodWorkLabs, a leader in AI-driven software solutions, is pioneering the integration of these technologies into mobile apps, delivering cutting-edge experiences.

In this blog, we will explore how AI and ML are revolutionizing mobile applications, their benefits, real-world applications, and how businesses can leverage these technologies for growth.

The Role of AI and Machine Learning in Mobile Apps

AI and ML have become integral to mobile app development, enhancing various aspects such as personalization, security, automation, and predictive analytics. Here are some key areas where these technologies are making a significant impact:

1. Personalization and User Experience

• AI-powered algorithms analyze user behavior, preferences, and interactions to deliver personalized content and recommendations.
• Streaming services like Netflix and Spotify use AI-driven recommendations to enhance user engagement.
• GoodWorkLabs leverages AI to create mobile apps that provide real-time, adaptive experiences tailored to individual users.

2. Voice Assistants and Chatbots

• Virtual assistants like Siri, Google Assistant, and Alexa rely on AI and ML to understand and process natural language queries.
• AI-driven chatbots enhance customer service by providing instant responses and automated solutions.
• GoodWorkLabs integrates AI-powered virtual assistants into mobile applications to streamline user interactions.

3. Predictive Analytics for Smarter Decision-Making

• AI-powered mobile apps analyze user data to predict future behavior and offer proactive recommendations.
• E-commerce apps use predictive analytics to suggest products based on browsing history and past purchases.
• GoodWorkLabs develops intelligent mobile applications that leverage AI for business intelligence and decision-making.

4. Enhanced Security and Fraud Detection

• AI-driven biometric authentication, such as facial recognition and fingerprint scanning, enhances security.
• Banking apps use AI-powered fraud detection systems to identify suspicious activities and prevent financial crimes.
• GoodWorkLabs implements AI-based security measures to ensure safe and secure mobile app experiences.

5. AI-Powered Image and Speech Recognition

• AI-powered image recognition enables applications like Google Lens to identify objects and translate text in real-time.
• Speech recognition technology powers voice search, voice commands, and automated transcription services.
• GoodWorkLabs integrates AI-based image and speech recognition into mobile apps to enhance accessibility and functionality.

How AI and ML Benefit Mobile App Development

1. Improved User Engagement and Retention

• AI-driven recommendations and personalized experiences increase user satisfaction and loyalty.
• GoodWorkLabs implements AI-based personalization to create mobile apps that keep users engaged.

2. Faster and More Efficient App Development

• AI automates repetitive tasks, such as bug detection, code generation, and testing, reducing development time.
• GoodWorkLabs utilizes AI-powered development tools to build high-quality mobile apps faster.

3. Cost-Effective Business Solutions

• AI-driven automation reduces operational costs and enhances productivity.
• Businesses leveraging AI-powered mobile apps can streamline processes and increase efficiency.

4. Competitive Advantage in the Market

• AI-enabled mobile apps offer innovative features that attract more users.
• GoodWorkLabs helps businesses stay ahead of the competition by integrating AI and Machine Learning in Mobile Apps

Real-World Applications of AI and ML in Mobile Apps

 

1. AI in Healthcare Apps

• AI-powered diagnostic apps assist doctors in analyzing medical images and identifying diseases.
• GoodWorkLabs develops AI-driven healthcare solutions for real-time monitoring and early disease detection.

2. AI in E-Commerce Apps

• AI enhances online shopping experiences with personalized recommendations and visual search.
• GoodWorkLabs integrates AI-powered search and recommendation engines in e-commerce apps to drive conversions.

3. AI in FinTech Apps

• AI-driven chatbots and fraud detection systems improve financial security and customer service.
• GoodWorkLabs builds AI-based FinTech solutions to enhance digital banking experiences.

4. AI in Travel and Hospitality Apps

• AI-driven travel apps provide personalized itineraries, hotel recommendations, and chatbot assistance.
• GoodWorkLabs creates smart travel applications that offer AI-powered suggestions for seamless experiences.

How GoodWorkLabs Leads the AI-Driven Mobile App Revolution

 

GoodWorkLabs specializes in AI and ML-driven mobile app development, helping businesses integrate intelligent solutions to enhance user experiences. With expertise in AI-powered personalization, security, predictive analytics, and automation, GoodWorkLabs ensures that clients receive high-performance mobile applications tailored to their needs.

 

Why Choose GoodWorkLabs for AI-Powered Mobile App Development?

• Expertise in AI and ML technologies
• Cutting-edge mobile app development strategies
• Seamless integration of AI-powered features
• Custom solutions tailored to business goals

Conclusion

AI and ML are transforming the mobile app industry by offering smarter, more personalized, and secure applications. Businesses that leverage these technologies gain a competitive edge, improved user engagement, and cost-effective solutions. GoodWorkLabs, with its expertise in AI-powered mobile app development, helps businesses unlock the full potential of AI and ML to create innovative, future-ready applications

 

Get Started with AI-Powered Mobile Apps Today!

Contact GoodWorkLabs to discuss how AI can enhance your mobile application!

 

Recent technologies have aided business organizations in retrieving massive data amounts. If interpreted correctly, it could provide valuable insight into consumer behavior, driving up sales considerably. Moreover, it gives the basis to form actionable plans. However, without leveraging the information present in this data, you can’t hope to propel your brand on the path to success. Here, Machine learning plays a significant role. With Machine Learning, businesses can now gain more scalability while improving their operation across the globe.

Benefits of machine learning in making better business decisions

There are numerous advantages that brands can gain from implementing ML into their business decision-making process. It is true that ML aids in the extraction of useful information from a massive amount of raw data. Take a look at why integrating ML into your business is a beneficial idea –

• Predict consumer behavior

One of the most advantageous aspects of using machine learning is to predict customer behavior. By having valuable insights on purchasing patterns and behavior of the client, brands can recommend products accordingly.  Moreover, now companies can use a massive amount of stored data to get vital information on consumers.

• Prevent manual errors

Inaccurate data entry can lead to a plethora of issues. Moreover, it is a much bigger issue than you realize. However, with machine learning’s predictive model algorithms, there is a considerable reduction in the chance of manual errors. This way, the employees can use the time saved to carry out other tasks.

• Aids in predictive maintenance

Predictive maintenance is essentially the discovery of meaningful patterns and analyses that often remain hidden within the factory data. Most often, mining this data becomes exceedingly expensive. However, with the integration of Machine Learning, predictive maintenance is not that expensive or hard anymore. Moreover, you can also reduce the risks of unnecessary costs and sudden failures.

• Detects spam

Did you know that businesses have often used machine learning to detect spam? With the aid of Machine Learning, it is now used to recognize spam and get rid of them. Gone are the days of using the rule-based technique to detect spam.

• Assist in financial analysis

Integration of machine learning to assist in algorithmic trading or fraud detection is a massive milestone. Machine Learning can assess the massive quantitative data and offer valuable insights. The inclusion of Machine Learning in Chatbots in the near future is a very real possibility.

• Helps to create product recommendations

Usage of Machine Learning to create personalized product recommendations can become particularly beneficial for eCommerce websites. Machine Learning uses algorithms to track the purchase history of consumers. Then, it is matched with the product inventory, and the discovery of patterns takes place. After that, these products are listed and suggested to consumers. It will propel them to at least browse your products.

• Analyzes images

Did you know that you can derive symbolic knowledge by assessing images? With machine learning, it is now easy to get data from image recognition. Numerous industries can benefit from the information extracted from images. Some of these include automobiles, healthcare, etc.

Conclusion

These are some of the reasons why using machine learning is an excellent business approach. It not only analyzes customer behaviour and predicts valuable data but also eliminates manual labour. Moreover, keeping up with the latest technology will only aid you to keep your brand ahead of the competition. For the best experience, you must seek assistance from the best Machine Learning Company. You can consult GoodWorkLabs for any queries related to machine learning. Contact the team here.

 

Artificial intelligence (AI) is the most revolutionary technology in today’s world and has the ability of machines to interpret data and act intelligently. AI can carry out tasks, based on data, similar to how a human does it.  We use AI in our daily lives, such as asking Alexa for the weather report and even social media platforms rely highly on AI. buying something that Amazon recommends, and unknowingly we have made it a part of our lives.

 

Large corporations have already leveraged AI but the major challenges come for the small and medium-sized enterprises. In the coming days, AI is bound to play a dominant role in our lives. Many artificial intelligence companies have understood AI’s potential, and have incorporated it.  GoodWorkLabs, an artificial intelligence company in Bangalore has a team of experts who are skilled to incorporate AI into your business systems.

 

You must be thinking, why should your business embrace AI, and how it will help you?

 

Here are the top five benefits of AI that makes it beneficial for businesses around the world – 

 

1. Automates Customer Interactions

AI enables companies to automate any repetitive tasks many customer interactions that require human intervention. Artificial intelligence companies leverage AI to program the computer so that it responds to customers by using previous details accurately. This includes communicating via email, social media conversations, telephone calls, and online chat. Furthermore, by combining AI with machine learning, the platforms interact even better. Thus the regular tasks that can take up a lot of time and workforce are simplified by leveraging AI in the business process. 

 

2. Gives personalized solutions

AI helps in personalized marketing and gives preference to each customer.  A personalized approach to consumers increases engagement, customer loyalty and results in brand promotion and improving sales. AI also helps to identify patterns in customers’ buying habits and behavior. This further allows companies to craft specific offers for individual customers. Cloud-based AI apps can even find out relevant pieces of information while processing big data. 

 

3. Stay ahead of the competition

With AI becoming a part of our daily lives, every business in the coming days will implement it and AI will become a more affordable and common technology. So now is the right time for your business to implement AI It will not only give you immense benefits but also will attract customers to your business and build your brand.

 

4.AI will help in conducting market research

As AI has the ability to predict outcomes based on data, it will help in both the present day and for future needs. By implementing an AI strategy in your market research, businesses can benefit from the data procured of the market trends. If you want your business to stay ahead of the competition, you must implement them and use AI to grow.

 

5.AI fuels other technology trends

AI is the base on which various other technology trends are built, such as virtual reality, chatbots, facial recognition, autonomous vehicles, etc. Without AI, all these advances were not possible. AI, along with machine learning, has brought about a significant change in the technology industry. 

 

Now Use AI In Your Business Process. Contact GoodWorkLabs

Whether you are in the eCommerce business or any other product or service-related work, you must know how AI can help you succeed further.  Talk to our experts and understand how artificial intelligence can help you grow. GoodWorkLabs, a renowned artificial intelligence company in Bangalore, will help you figure out where to apply AI. Shoot us an email at – [email protected] to discuss further.

 

 

Hit by a pandemic, we all have changed the way we have been working and prioritising work. Almost all the businesses in the world have changed their work approach and business model to fit in the new normal in the past few months. Understanding the gravity of the situation, many corporates are now providing a helping hand to the government, health-care institutes, and the public at large by helping them fight COVID-19 in one way or the other.

GoodWorkLabs, a world-leading technology organisation based in Bangalore, India and San Francisco Bay Area, USA has always been committed to helping businesses solve complex problems using technology. During these unprecedented times, we have pledged to help create sustainable and affordable tech solutions to fight the COVID-19 crisis. Being a futuristic tech company, we are looking forward to partnering with businesses/ startups to create effectively-designed tech solutions to combat the COVID-19 problems that the world is facing today.

We believe that even if the technology cannot prevent the onset of the pandemics, it can, however, help prevent the spread of infection, educate, empower, and warn people around. We can help businesses and start-ups optimise the trending technologies to fight COVID-19 – application development, cloud, IoT, big-data, AI/ML, etc.

Mobile Application Development: 

GoodWorkLabs is one of the leading app development company in India. We are known for developing cutting-edge mobile applications and games on all major platforms – iPhone, Android, and Windows. With the hands-on experience in the app development industry, we have helped businesses and start-ups leverage their presence in the app store markets.

During the pandemic, the developers at GoodWorkLabs are highly motivated to use their talents and ideas in building an innovate mobile application that can help end-users be aware and safe during this pandemic.

Artificial Intelligence and Machine Learning

GoodWorkLabs comes with a vast experience of setting up an advanced centre of big data, AI, and ML technologies. We have worked with clients ranging from Start-ups to Fortune 500 companies to develop unique and helpful solutions using these technologies. We believe that big data, AI, and ML can transform business and its operations in the near future. Understanding the nuances of AI, ML, deep learning, language processing, and big data, we ensure to create solutions that are powerful and reliable backed by minutely detailed data.

Cloud and Internet of Things

At GoodWorkLabs, we have a dedicated and most skilled IoT app development team which is committed to delivering products and applications that bring change in the current times. Over the years, we have supported clients from India, the USA, and Europe in the optimization and automation of the IoT products. Seamlessly delivering the effective and ahead of time IoT products and applications is our key focus area at this moment.

Observing the current world crisis closely, we believe that the world has now truly understood the importance of digital readiness. The acceptance and usage of these digital technologies will help us be aware, ready, and fight the current and future pandemics. It is essential for the companies, corporates, and start-ups to focus on building necessary digital infrastructure and help the community and people stay safe and aware. We are in the times when we should take an approach where technology is used for people-centred problems.

In this regard, we are looking forward to partnering with businesses/start-ups to create effectively-designed tech solutions that combat the COVID-19 problems the world is facing today. Let us together make a difference and enable a COVID free world! Connect with us at [email protected] or call +91- 9863077000 and read about our service offerings in detail here.

 

Enough has been spoken and heard about artificial intelligence and machine learning. Most of us are aware of these technological jargons. We are in a world where we must have come across these technologies on a daily basis, but little do we know deeper about it. From tech to voice to face enabled devices, we all have witnessed a dramatic evolution of technology in the last decade. It did not only contribute towards the transformation of the internet and software industry, but also the lives of individuals – you, me, and us!

Technologies related to AI and ML is expected to grow in the years to come. Even many social media platforms are today investing ample amount of money in the development of AI techniques to keep their audiences hooked to the platform. Over-viewing the mobile app industry, it is not a hidden fact that today most of the mobile applications are built on AI and ML technologies. Today, we have mobile applications for all our activities – shopping to dating, food to fashion, travelling to surfing, etc.

According to a report by Statista, the global artificial intelligence market is expected to grow greatly by generating 118.6 billion revenue in 2025. Viewing that, the future of AI and ML technology looks very promising. Therefore, it is a great time to incorporate some AL and ML techniques in your mobile application. Let us look at how two of the leading the AI and ML techniques can help build a trending mobile application:

Predict User Behaviour 

You must have used Amazon or Myntra. Did you get what we are hinting at?

Yes, those suggestions, recommendations, and notifications. They provide you with the most similar products you are looking for. How do you think this happens? Is there is a fairy in the app? Yes, there is and she exactly knows – what you are looking for, what you like and what you don’t, what excites you and what makes you add the items in the cart. Well, no points for guessing, she is AI and ML.

AI and ML mobile applications developed by top AI and ML app developers help the businesses and their marketing teams to understand customer behaviour and psychology. The insights drawn provides information on customer choices, preferences, buying patterns, and budgets by capturing data such as age, location, gender, buying frequency, spending capacity, etc. It is the perfect integration of in-depth data learning and observing the user behaviour across all devices that help create a 360^o view on customers. The data so collected enables the brands to approach each customer group and deliver products that perfectly fit their individual needs.

Virtual Assistants 

Hey Siri! “Go on, I am listening” – Siri (Well, there’s someone ‘listening’)

That is how we connect with our smartphones these days, don’t we? Siri, Alexa, and Google, all are changing the digital way of communication with our phones and mobile applications. The technology helps you use your phone or a mobile application while you are performing some other task. It has made the user experience much seamless and fruitful.

This technology has further strengthened the trend of online shopping. Today, 95% of online shopping in the world is made through voice commands and that shouldn’t be a surprise. Industry to industry, virtual assistants are greatly impacting and disrupting the way consumers purchase and retailers sell/market.

Are you still wondering how can you invest in AI and ML? Lets us connect to understand your requirements and help you with an AI and ML based mobile application. Connect with us at +91- 9863077000 or [email protected].

 

 

The last decade introduced the world to the digitization of many sectors. This helped the global trade to increase worldwide as many developing and emerging countries became important trading partners and potential sales and development markets. Digitization has helped us to be more connected and perform our daily tasks more effectively. It has made the world a global village and people global citizens.

However, the economies built in the previous decade came crashing to the ground in the last few weeks as COVID-19 pandemic hit the world. While the pandemic has had a great impact on the global economy, it taught us how to fight and improve the current condition using technology. It has laid a new pathway by disrupting our lifestyles by enabling contact-less and virtual experiences. Even though the technology cannot prevent the onset of the pandemics, it can, however, help prevent the spread, educate, empower, and warn people around. Today, these technologies are emerging more than ever – mobile, cloud, analytics, robotics, AI/ML, 4G/5G, and high-speed internet.

Let us look at three technologies that are disrupting our lifestyle each day during this pandemic:

Artificial Intelligence and Machine Learning

From tracking the travel history of COVID-19 patents to analysing the symptoms of people exposed to the infection, the applications used by many governments do it all. These applications use chatbots to gather information from people, and the technology used in these applications is that of AI and ML. This enables the government to collect reliable information much easier and faster without any human intervention.

The advent of more such mobile applications and software will help ease the lifestyle of customers.

Extended Reality

Augmented and virtual reality is surely a boon in the world of lockdown and quarantine. This technology can be used in providing more meaningful and real experiences for people. The technology can help you see the world while you are locked in your home. This experience will change the way we travel, work, and relax. For instance: Realty brands can focus on using AR/VR videos to target their audiences by helping them take a walk-through the project while they are seated in the comfort of their home. This is an example of how a sector can use the contact-less experience to their advantage.

Cloud and Internet

The last few weeks have seen a great transition in the way the workforce can function. Companies got to believe that remote working and work from home concepts can be of their advantage. The transition to work from home and remote working has increased the dependency on cloud and internet infrastructure. The usage of this technology is set to remain the same even post lockdown and pandemic as many companies are moving towards welcoming a ‘hybrid’ way of working. This will increase the demand for teleworking applications and software for the team to be connected and interactive.

Talking about the internet, technology has changed the sector of education. It has enabled kids to learn and study from home using applications that require an active internet connection to connect with their peers and teachers. For times to come, e-learning will be an accepted norm for the parents and teachers alike.

The COVID-19 pandemic has demonstrated to the world that importance of digital readiness. The acceptance and usage of digital technology will allow the business and individuals to continue their work and chores as usual during the pandemic. The companies at large will focus on building necessary digital infrastructure by using the latest technology to stay connected with their employees and customers. The pandemic has increased their market competition by many folds, therefore businesses will have to take an approach that is human-centred and inclusive using technology governance.

 

Are you looking to incorporate AI tech in your existing business model or are you generally curious about this technology? Get an insight into how Artificial Intelligence technology increases the productivity of the business and accelerates performance.

In either case, there are some mind-boggling essential facts that you must know about AI. 

Starting with the basics, we are quickly briefing you about this technology.

In the current industry scenario, some industry sectors are at the start of their AI journey, while others are veterans. 

Artificial Intelligence and Machine Learning are now considered one of the significant innovations since the microchip. 

We have come a long way since they set foot in the market. Machine Learning used to be a fanciful concept from science fiction, but has now become a reality.

Neural networks paved the way for “deep learning” breakthroughs in Machine Learning. While the previous Industrial Revolution has harnessed physical and mechanical power, this new revolution will harness mental and cognitive capacity. Many experts in the field believe that Artificial Intelligence Technology is ushering the next “Industrial Revolution”. 

Someday, not only manual labor will be replaced by computers, but also intellectual labor. But, the question is how exactly is this going to happen? Or has it already started?

By 2025, it is projected that 463 exabytes (EB) of data will be produced globally each day — equivalent data in 22 crore DVDs per day. That’s huge!

How Artificial Intelligence and Machine Learning will impact our day-to-day lives in times to come?

 

1) AI into Automated Transportation

Have you been flying on an airplane recently? If so, you’ve already experienced the automation of transportation at work. Such modern commercial aircraft use FMS (Flight Management System) to control their location during flight, motion sensors, a combination of GPS, and computer systems.

 

2) Self Driving Cars and AI

It is more difficult to leap into self-driving car business. Since there are more cars on the road, many obstacles to avoid, and the traffic patterns and rules restrictions which we need to adhere to. 

According to a report of 55 Google vehicles that have traveled over 1.3 million miles overall, these AI-powered cars have even exceeded the safety of human-driven cars.

With Google Maps’ assistance on your smartphone about location data, we have already conquered the GPS forefront. A similar GPS is used in these cars, which can calculate how quickly the device is traveling by comparing the position of a device from one point in time to another.

It can decide how slow real-time traffic is. It can combine information with user-reported incidents to create a traffic image at any given time. Maps will determine the fastest route between you and your destination based on traffic jams, construction works, or accidents.

What about the ability to drive a car? Well, machine learning enables self-driving vehicles to adapt instantly to changing road conditions while learning from new road situations at the same time. Onboard computers can make split-second decisions much faster than well-trained drivers by continuously filtering through a flow of visual and sensor information.

All this is based on the very same machine learning principles used in other industries. You have input characteristics (i.e., real-time visual and sensor data) and output (i.e., a decision on the next actions for a car). Amazing, right?

 

3) Cyborg Technology

Our minds and bodies are less than perfect. Technology will improve to the extent that we can increase some of our computer weaknesses and limitations, enhancing many of our fundamental skills.

But, wait before you start to imagine dystopian worlds of steel and blood, consider for a moment that most people walking around are in a certain way “cyborgs.”

How many people do you know that without your trusty smartphone would survive the day? For contact, navigation, information learning, receiving important news, and a host of other things, we still rely on these handheld computers.

 

4) Taking Over the Dangerous Jobs

Bomb disposal is one of the most dangerous jobs. Today, among other things, robots (or more technically drones) take over these risky jobs.

Currently, most of these drones need to be operated by a human.

But as machine learning software is evolving in the future, robots with artificial intelligence would do these tasks entirely. This technology has already saved thousands of lives on its own.

Welding is another work outsourced to robots. This type of work produces noise, intense heat, and fumes toxic substances.

Such robot welders would need to be pre-programmed to weld at a specific position without machine learning. Improvement in computer vision and deep learning, however, has allowed greater flexibility and accuracy.

 

5) How AI helps in nursing elders?

Everyday tasks can be a struggle for many senior citizens. Many have to hire help from outside or rely on members of the family. 

For many families, elder care is a growing concern. In-home robots can support elderly relatives who don’t want to leave their homes.

This approach provides more flexibility to family members to handle the care of a loved one. The in-home robots can help seniors with daily tasks and allow them to stay as long as possible independent and live in their homes, improving their overall well-being.

Health and Artificial Intelligence scientists even have infrared-based systems that can identify when an older adult falls. Scientists and medical specialists can also track sleeping, feeding, decreasing mobility, fluid intake, chair and bed comfort, urinary frequency, restlessness, fatigue, food and alcohol consumption, and many more.

 

6) AI into enhanced Health Care

Hospitals might soon put your well-being in the hands of AI.  Hospitals that use machine learning to help treat patients have fewer accidents and fewer cases of hospital-related illnesses, such as sepsis.

Artificial Intelligence also tackles some of the most intractable problems in medicine, such as helping scientists to understand the genetic diseases with the help of predictive models better.

Initially, health professionals must manually check the information reams before they diagnose or treat a patient. High-performance computing GPUs have become primary resources for deep learning and AI applications.

Deep learning models can offer real-time insights and, in conjunction with an abundance of computing power, help healthcare professionals diagnose patients more quickly and accurately, create innovative new drugs and treatments, minimize clinical and diagnostic errors, predict adverse reactions, and reduce healthcare costs for clinicians and patients.

 

7) Artificial intelligence is capable of changing the business forever

It is a promise to take care of all the tedious things that employees are already doing, freeing their time to be more imaginative, and doing the job that machines are unable to do.

Today, emerging technology is mainly used by large companies through machine learning and predictive analytics.

 

Here’s a look at AI’s current county and what lies ahead:-

1. Nowadays, only 15% of companies use AI whereas 31 percent said it was on the agenda for the next 12 months.
2. For those companies already in the Artificial Intelligence range, high-performing companies have said that they are more than twice as likely to use technology for marketing as their peers (28% vs. 12%). Unsurprisingly, data analysis is a key Artificial Intelligence focus for businesses, with on-site customization being the second most frequently cited use case for AI. 
3. The survey respondents have described customer personalization (29%), AI (26%), and voice search (21.23%) as the next dominant marketing pattern. These top three responses, totaling 75% of all AI applications, indicate that AI is more widespread and accessible than the respondents are aware of. 
4. 47% of digitally mature organizations or those with advanced digital practices have established a specified AI strategy. 
5. Business leaders said they agree that AI will be fundamental in the future. In reality, 72% said it was a “business advantage.” 
6. Of those who have an innovation plan, 61% said that they are using AI to find information gaps that would otherwise be overlooked. Just 22% said the same thing without a strategy. 
7. Consumers use more AI than they know. While only 33 percent claim that they are using AI-enabled software, 77 percent currently using AI-enabled products or phones. 
8. 38% of customers said they believed that AI would boost customer service. 
9. Out of 6,000 people surveyed, 61% said they thought AI could make the world a better place. 
10. In a survey of more than 1,600 marketing professionals, 61%, regardless of the size of the company, pointed to machine learning and AI as their company’s most significant data initiative for next year. 
11. The effect of AI technology on business is projected to increase labor productivity by up to 40% and allow people to make more productive use of their time. 
12. The largest companies, those with at least 100,000 employees are most likely to have an AI plan, but only half of them have one. 
13. More than 80% of the executives see AI as a strategic tool. 
14. Voice assistants are incorporated into a wide range of consumer products; almost half of US adults (46%) are now using these apps to communicate with smartphones and other devices. 
15. When asked about requirements for marketing software providers to have native AI capabilities, more than 50% of the communicators said it was essential or appropriate to do so. 

 

Winding Up

As many people have rightly noted, the idea of Artificial Intelligence is not a new one. It’s been around since the very early days of computing. Pioneers always have invented ways to build smart learning machines.

At present, the most promising method for AI is the use of applied machine learning. Instead of trying to encrypt machines with everything they need to know beforehand (which is impossible), we want to allow them to learn, and then learn how to learn. 

The time for machine learning has arrived, and it is in the process of revolutionizing all of our lives.

Liked our content? Then visit us today at GoodWorkLabs and learn more about us. For any feedback or suggestions, you can comment in the drop-down section.